Searching for "intelligence"

AI AR customers

Can A.I. and AR Turn Your Prospects Into Customers?

These technologies are the next step in business. Here are three ways to grow.

1. Enhance the retail experience with AR.

Tech-savvy retailers and e-commerce e-tailers are incorporating augmented reality technology to enhance the customer experience. Given that 61% of consumers prefer stores which provide AR experiences, integrating AR technology is an effective way to improve customer experiences with your brand and turn prospects into customers.

2. Identify and follow up on leads through AI.

AI technology can be used by businesses as an ultra-reliable sales assistant. An AI-enhanced assistant can collect and analyze data about the lead, and it can remind you when to follow up on leads and ensures no vital stones are left unturned. Even better, AI can help you focus on the leads that are more likely to turn into sales and prompt you when you should take specific actions.

One example is Zia, the Zoho Intelligent Assistant built into the Zoho CRM application. Zia can predict which leads are more likely to close, so you can prioritize your sales rep time and better forecast sales.

3. Improve marketing campaigns with augmented reality.

AR can enable businesses to deliver marketing strategies in real time. This means customers can experience your products or services as they are meant to be. In the retail sector, savvy brands are using AR as a powerful form of marketing. Timberland, for example, invested in Lemon and Orange’s virtual fitting room technology, to allow customers to ‘try before they buy’ remotely.

 

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more on artificial intelligence in this IMS blog
https://blog.stcloudstate.edu/ims?s=artifical+intelligence

more on augmented reality in this IMS blog
https://blog.stcloudstate.edu/ims?s=augmented+reality

AI and China education

China’s children are its secret weapon in the global AI arms race

China wants to be the world leader in artificial intelligence by 2030. To get there, it’s reinventing the way children are taught

despite China’s many technological advances, in this new cyberspace race, the West had the lead.

Xi knew he had to act. Within twelve months he revealed his plan to make China a science and technology superpower. By 2030 the country would lead the world in AI, with a sector worth $150 billion. How? By teaching a generation of young Chinese to be the best computer scientists in the world.

Today, the US tech sector has its pick of the finest minds from across the world, importing top talent from other countries – including from China. Over half of Bay Area workers are highly-skilled immigrants. But with the growth of economies worldwide and a Presidential administration hell-bent on restricting visas, it’s unclear that approach can last.

In the UK the situation is even worse. Here, the government predicts there’ll be a shortfall of three million employees for high-skilled jobs by 2022 – even before you factor in the immigration crunch of Brexit. By contrast, China is plotting a homegrown strategy of local and national talent development programs. It may prove a masterstroke.

In 2013 the city’s teenagers gained global renown when they topped the charts in the PISA tests administered every three years by the OECD to see which country’s kids are the smartest in the world. Aged 15, Shanghai students were on average three full years ahead of their counterparts in the UK or US in maths and one-and-a-half years ahead in science.

Teachers, too, were expected to be learners. Unlike in the UK, where, when I began to teach a decade ago, you might be working on full-stops with eleven-year-olds then taking eighteen-year-olds through the finer points of poetry, teachers in Shanghai specialised not only in a subject area, but also an age-group.

Shanghai’s success owed a lot to Confucian tradition, but it fitted precisely the best contemporary understanding of how expertise is developed. In his book Why Don’t Kids Like School? cognitive Dan Willingham explains that complex mental skills like creativity and critical thinking depend on our first having mastered the simple stuff. Memorisation and repetition of the basics serve to lay down the neural architecture that creates automaticity of thought, ultimately freeing up space in our working memory to think big.

Seung-bin Lee, a seventeen-year-old high school graduate, told me of studying fourteen hours a day, seven days a week, for the three years leading up to the Suneung, the fearsome SAT exam taken by all Korean school leavers on a single Thursday each November, for which all flights are grounded so as not to break students’ concentration during the 45 minutes of the English listening paper.
Korea’s childhoods were being lost to a relentless regime of studying, crushed in a top-down system that saw them as cyphers rather than kids.

A decade ago, we consoled ourselves that although kids in China and Korea worked harder and did better on tests than ours, it didn’t matter. They were compliant, unthinking drones, lacking the creativity, critical thinking or entrepreneurialism needed to succeed in the world. No longer. Though there are still issues with Chinese education – urban centres like Shanghai and Hong Kong are positive outliers – the country knows something that we once did: education is the one investment on which a return is guaranteed. China is on course to becoming the first education superpower.

Troublingly, where education in the UK and US has been defined by creativity and independent thinking – Shanghai teachers told me of visits to our schools to learn about these qualities – our direction of travel is now away from those strengths and towards exams and standardisation, with school-readiness tests in the pipeline and UK schools minister Nick Gibb suggesting kids can beat exam stress by sitting more of them. Centres of excellence remain, but increasingly, it feels, we’re putting our children at risk of losing out to the robots, while China is building on its strong foundations to ask how its young people can be high-tech pioneers. They’re thinking big – we’re thinking of test scores.

soon “digital information processing” would be included as a core subject on China’s national graduation exam – the Gaokao – and pictured classrooms in which students would learn in cross-disciplinary fashion, designing mobile phones for example, in order to develop design, engineering and computing skills. Focusing on teaching kids to code was short-sighted, he explained. “We still regard it as a language between human and computer.” (My note: they are practically implementing the Finland’s attempt to rebuild curricula)

“If your plan is for one year,” went an old Chinese saying, “plant rice. If your plan is for ten years, plant trees. If your plan is for 100 years, educate children.” Two and half thousand years later chancellor Gwan Zhong might update his proverb, swapping rice for bitcoin and trees for artificial intelligence, but I’m sure he’d stand by his final point.

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more on AR in this IMS blog
https://blog.stcloudstate.edu/ims?s=artificial+intelligence

more on China education in this IMS blog
https://blog.stcloudstate.edu/ims/2018/01/06/chinas-transformation-of-higher-education/

AI autonomous cars libraries

AI, Autonomous Cars, and Libraries

at RMG’s Annual Presidents’ Seminar:
The View from the Top on Friday February 9, 2018, 2:00 p.m. – 4:00 p.m.
ALA Midwinter Conference, Denver Colorado Convention Center Room 505

Who, When, Where?

  • How will these disruptive technologies enter the

Library Industry ?

  • Who will lead the innovation?
  • And what about Robots, Blockchain, and the loss of Net Neutrality?
  • How will Artificial Intelligence and Self-Driving Cars improve library services and performance?
  • • In the age of click and digital download, will driverless library (or Uber or Lyft) delivery services plus robots-to-the-door put printed books and other physical items into readers’ hands with comparable ease? Or transport and escort readers to Library programs and browsing opportunities?
  • • Alexa:   Please deliver to my weekend address the Hungarian cookbook I checked out from my Branch Library last year and fresh — not frozen — ingredients for goulash for six. Text me by Thursday if I can’t get all this by Friday 6pm. Also, could you recommend a suitable under $15 red wine available at my weekend Whole Foods?
  • • Siri or Alexa:   Call the Library and make reservations for my two grandchildren and me for the February program on Spring solstice, and ask them to text each of us confirmations. Also, could you ask the Library to send them links to e-books that explain the history of astronomy? And deliver to Amy a book in English or Mandarin about ancient Chinese astronomy a week before the program?

The Seminar is open to everyone for dialogue on topical issues and concerns — registration is not required.

Attendees are invited to ask questions of Library Industry executives entrusted with delivering platforms and solutions for global library systems, services, and content to thousands of libraries serving millions of library users worldwide.

Participating companies & executives include:

Axiell (Ann Maelerts), BiblioLabs (Mitchell Davis),

Demco Software (Ravi Singh), Easy Mile, Index Data (Sebastian Hammer), Innovative Interfaces (James Tallman),  Overdrive (Steve Potash), ProQuest (Rich Belanger), SirsiDynix (Bill Davison), The Library Corporation (Annette Murphy)

Rob McGee  will moderate the session with assistance from Marshall Breeding and RMG’s Geoff Payne (Melbourne Office).

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more on artificial intelligence in this ims blog
https://blog.stcloudstate.edu/ims?s=artificial+intelligence

social media election fake news

Election Strife, Protest And Noise: In 2017, Russia Cranked Up The Volume

The Russian Facebook scandal damages liberals as much as the right

The Republicans might have been tarnished by the St Petersburg troll factory, but Democratic fantasies about social media were rubbished in the process
The ads in question were memes, manufactured and posted to a number of bluntly named, pseudo-American Facebook accounts in 2016 by workers at a troll farm in St Petersburg, Russia. There were thousands of these ads, it seems, plus parallel efforts on Instagram and Twitter. Between them, they reached over 100 million people.
The memes were big news for a while because they showed what Russian interference in the 2016 election actually looked like, in vivid color. Eventually the story faded, though, in part because it was superseded by other stories, but also, I think, because the Russian ad story was deeply distasteful to both sides of our atrophied political debate.
The ads were clumsily written. They were rife with spelling errors and poor grammar. Their grasp of American history was awful. And over them all hovered a paranoid fear that the powerful were scheming to flip the world upside-down in the most outlandish ways: to turn our country over to the undocumented … to punish the hardworking … to crack down on patriots and Christians … to enact Sharia law right here at home.
The social media platforms aren’t neutral arbiters, selflessly serving the needs of society. As is all too obvious now, they are monopolies that manipulate us in a hundred different ways, selecting our news, steering us towards what we need to buy. The corporate entities behind them wield enormous power in Washington, too, filling Democratic campaign coffers and keeping the revolving door turning for trusted servants. Those who don’t comply get disciplined.
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Russia calls for answers after Chechen leader’s Instagram is blocked

Internet watchdog demands explanation after Ramzan Kadyrov claimed Facebook also suspended him without explanation

https://www.theguardian.com/world/2017/dec/26/chechnya-ramzan-kadyrov-social-media-russia-instagram-facebook

Kadyrov has accused the US government of pressuring the social networks to disable his accounts, which he said were blocked on Saturday without explanation. The US imposed travel and financial sanctions on Kadyrov last week over numerous allegations of human rights abuses.

The former rebel fighter, who is now loyal to the Russian president, Vladimir Putin, is a fan of social media, particularly Instagram, which he has used in recent years to make barely veiled death threats against Kremlin critics.

Leonid Levin, the head of the Russian parliament’s information technologies and communications committee, suggested the move by Facebook and Instagram was an attack on freedom of speech.

Dzhambulat Umarov, the Chechen press and information minister, described the blocking of Kadyrov’s accounts as a “vile” cyber-attack by the US.

Neither Instagram nor Facebook had commented at the time of publication.

In 2015, Kadyrov urged Chechen men not to let their wives use the WhatsApp messaging service after an online outcry over the forced marriage of a 17-year-old Chechen to a 47-year-old police chief. “Do not write such things. Men, take your women out of WhatsApp,” he said.

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more on fake news in this IMS blog
https://blog.stcloudstate.edu/ims?s=fake+news

Tinder dating privacy

I asked Tinder for my data. It sent me 800 pages of my deepest, darkest secrets

The dating app knows me better than I do, but these reams of intimate information are just the tip of the iceberg. What if my data is hacked – or sold?

Every European citizen is allowed to do so under EU data protection law, yet very few actually do, according to Tinder.

With the help of privacy activist Paul-Olivier Dehaye from personaldata.io and human rights lawyer Ravi Naik, I emailed Tinder requesting my personal data and got back way more than I bargained for.

Some 800 pages came back containing information such as my Facebook “likes”, links to where my Instagram photos would have been had I not previously deleted the associated account, my education, the age-rank of men I was interested in, how many Facebook friends I had, when and where every online conversation with every single one of my matches happened … the list goes on.

Reading through the 1,700 Tinder messages I’ve sent since 2013, I took a trip into my hopes, fears, sexual preferences and deepest secrets. Tinder knows me so well. It knows the real, inglorious version of me who copy-pasted the same joke to match 567, 568, and 569; who exchanged compulsively with 16 different people simultaneously one New Year’s Day, and then ghosted 16 of them.

“What you are describing is called secondary implicit disclosed information,” explains Alessandro Acquisti, professor of information technology at Carnegie Mellon University. “Tinder knows much more about you when studying your behaviour on the app. It knows how often you connect and at which times; the percentage of white men, black men, Asian men you have matched; which kinds of people are interested in you; which words you use the most; how much time people spend on your picture before swiping you, and so on. Personal data is the fuel of the economy. Consumers’ data is being traded and transacted for the purpose of advertising.”.

In May, an algorithm was used to scrape 40,000 profile images from the platform in order to build an AI to “genderise” faces. A few months earlier, 70,000 profiles from OkCupid (owned by Tinder’s parent company Match Group) were made public by a Danish researcher some commentators have labelled a “white supremacist”, who used the data to try to establish a link between intelligence and religious beliefs. The data is still out there.

 

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more on social media dating in this IMS blog
https://blog.stcloudstate.edu/ims?s=tinder

IRDL proposal

Applications for the 2018 Institute will be accepted between December 1, 2017 and January 27, 2018. Scholars accepted to the program will be notified in early March 2018.

Title:

Learning to Harness Big Data in an Academic Library

Abstract (200)

Research on Big Data per se, as well as on the importance and organization of the process of Big Data collection and analysis, is well underway. The complexity of the process comprising “Big Data,” however, deprives organizations of ubiquitous “blue print.” The planning, structuring, administration and execution of the process of adopting Big Data in an organization, being that a corporate one or an educational one, remains an elusive one. No less elusive is the adoption of the Big Data practices among libraries themselves. Seeking the commonalities and differences in the adoption of Big Data practices among libraries may be a suitable start to help libraries transition to the adoption of Big Data and restructuring organizational and daily activities based on Big Data decisions.
Introduction to the problem. Limitations

The redefinition of humanities scholarship has received major attention in higher education. The advent of digital humanities challenges aspects of academic librarianship. Data literacy is a critical need for digital humanities in academia. The March 2016 Library Juice Academy Webinar led by John Russel exemplifies the efforts to help librarians become versed in obtaining programming skills, and respectively, handling data. Those are first steps on a rather long path of building a robust infrastructure to collect, analyze, and interpret data intelligently, so it can be utilized to restructure daily and strategic activities. Since the phenomenon of Big Data is young, there is a lack of blueprints on the organization of such infrastructure. A collection and sharing of best practices is an efficient approach to establishing a feasible plan for setting a library infrastructure for collection, analysis, and implementation of Big Data.
Limitations. This research can only organize the results from the responses of librarians and research into how libraries present themselves to the world in this arena. It may be able to make some rudimentary recommendations. However, based on each library’s specific goals and tasks, further research and work will be needed.

 

 

Research Literature

“Big data is like teenage sex: everyone talks about it, nobody really knows how to do it, everyone thinks everyone else is doing it, so everyone claims they are doing it…”
– Dan Ariely, 2013  https://www.asist.org/publications/bulletin/aprilmay-2017/big-datas-impact-on-privacy-for-librarians-and-information-professionals/

Big Data is becoming an omnipresent term. It is widespread among different disciplines in academia (De Mauro, Greco, & Grimaldi, 2016). This leads to “inconsistency in meanings and necessity for formal definitions” (De Mauro et al, 2016, p. 122). Similarly, to De Mauro et al (2016), Hashem, Yaqoob, Anuar, Mokhtar, Gani and Ullah Khan (2015) seek standardization of definitions. The main connected “themes” of this phenomenon must be identified and the connections to Library Science must be sought. A prerequisite for a comprehensive definition is the identification of Big Data methods. Bughin, Chui, Manyika (2011), Chen et al. (2012) and De Mauro et al (2015) single out the methods to complete the process of building a comprehensive definition.

In conjunction with identifying the methods, volume, velocity, and variety, as defined by Laney (2001), are the three properties of Big Data accepted across the literature. Daniel (2015) defines three stages in big data: collection, analysis, and visualization. According to Daniel, (2015), Big Data in higher education “connotes the interpretation of a wide range of administrative and operational data” (p. 910) and according to Hilbert (2013), as cited in Daniel (2015), Big Data “delivers a cost-effective prospect to improve decision making” (p. 911).

The importance of understanding the process of Big Data analytics is well understood in academic libraries. An example of such “administrative and operational” use for cost-effective improvement of decision making are the Finch & Flenner (2016) and Eaton (2017) case studies of the use of data visualization to assess an academic library collection and restructure the acquisition process. Sugimoto, Ding & Thelwall (2012) call for the discussion of Big Data for libraries. According to the 2017 NMC Horizon Report “Big Data has become a major focus of academic and research libraries due to the rapid evolution of data mining technologies and the proliferation of data sources like mobile devices and social media” (Adams, Becker, et al., 2017, p. 38).

Power (2014) elaborates on the complexity of Big Data in regard to decision-making and offers ideas for organizations on building a system to deal with Big Data. As explained by Boyd and Crawford (2012) and cited in De Mauro et al (2016), there is a danger of a new digital divide among organizations with different access and ability to process data. Moreover, Big Data impacts current organizational entities in their ability to reconsider their structure and organization. The complexity of institutions’ performance under the impact of Big Data is further complicated by the change of human behavior, because, arguably, Big Data affects human behavior itself (Schroeder, 2014).

De Mauro et al (2015) touch on the impact of Dig Data on libraries. The reorganization of academic libraries considering Big Data and the handling of Big Data by libraries is in a close conjunction with the reorganization of the entire campus and the handling of Big Data by the educational institution. In additional to the disruption posed by the Big Data phenomenon, higher education is facing global changes of economic, technological, social, and educational character. Daniel (2015) uses a chart to illustrate the complexity of these global trends. Parallel to the Big Data developments in America and Asia, the European Union is offering access to an EU open data portal (https://data.europa.eu/euodp/home ). Moreover, the Association of European Research Libraries expects under the H2020 program to increase “the digitization of cultural heritage, digital preservation, research data sharing, open access policies and the interoperability of research infrastructures” (Reilly, 2013).

The challenges posed by Big Data to human and social behavior (Schroeder, 2014) are no less significant to the impact of Big Data on learning. Cohen, Dolan, Dunlap, Hellerstein, & Welton (2009) propose a road map for “more conservative organizations” (p. 1492) to overcome their reservations and/or inability to handle Big Data and adopt a practical approach to the complexity of Big Data. Two Chinese researchers assert deep learning as the “set of machine learning techniques that learn multiple levels of representation in deep architectures (Chen & Lin, 2014, p. 515). Deep learning requires “new ways of thinking and transformative solutions (Chen & Lin, 2014, p. 523). Another pair of researchers from China present a broad overview of the various societal, business and administrative applications of Big Data, including a detailed account and definitions of the processes and tools accompanying Big Data analytics.  The American counterparts of these Chinese researchers are of the same opinion when it comes to “think about the core principles and concepts that underline the techniques, and also the systematic thinking” (Provost and Fawcett, 2013, p. 58). De Mauro, Greco, and Grimaldi (2016), similarly to Provost and Fawcett (2013) draw attention to the urgent necessity to train new types of specialists to work with such data. As early as 2012, Davenport and Patil (2012), as cited in Mauro et al (2016), envisioned hybrid specialists able to manage both technological knowledge and academic research. Similarly, Provost and Fawcett (2013) mention the efforts of “academic institutions scrambling to put together programs to train data scientists” (p. 51). Further, Asomoah, Sharda, Zadeh & Kalgotra (2017) share a specific plan on the design and delivery of a big data analytics course. At the same time, librarians working with data acknowledge the shortcomings in the profession, since librarians “are practitioners first and generally do not view usability as a primary job responsibility, usually lack the depth of research skills needed to carry out a fully valid” data-based research (Emanuel, 2013, p. 207).

Borgman (2015) devotes an entire book to data and scholarly research and goes beyond the already well-established facts regarding the importance of Big Data, the implications of Big Data and the technical, societal, and educational impact and complications posed by Big Data. Borgman elucidates the importance of knowledge infrastructure and the necessity to understand the importance and complexity of building such infrastructure, in order to be able to take advantage of Big Data. In a similar fashion, a team of Chinese scholars draws attention to the complexity of data mining and Big Data and the necessity to approach the issue in an organized fashion (Wu, Xhu, Wu, Ding, 2014).

Bruns (2013) shifts the conversation from the “macro” architecture of Big Data, as focused by Borgman (2015) and Wu et al (2014) and ponders over the influx and unprecedented opportunities for humanities in academia with the advent of Big Data. Does the seemingly ubiquitous omnipresence of Big Data mean for humanities a “railroading” into “scientificity”? How will research and publishing change with the advent of Big Data across academic disciplines?

Reyes (2015) shares her “skinny” approach to Big Data in education. She presents a comprehensive structure for educational institutions to shift “traditional” analytics to “learner-centered” analytics (p. 75) and identifies the participants in the Big Data process in the organization. The model is applicable for library use.

Being a new and unchartered territory, Big Data and Big Data analytics can pose ethical issues. Willis (2013) focusses on Big Data application in education, namely the ethical questions for higher education administrators and the expectations of Big Data analytics to predict students’ success.  Daries, Reich, Waldo, Young, and Whittinghill (2014) discuss rather similar issues regarding the balance between data and student privacy regulations. The privacy issues accompanying data are also discussed by Tene and Polonetsky, (2013).

Privacy issues are habitually connected to security and surveillance issues. Andrejevic and Gates (2014) point out in a decision making “generated by data mining, the focus is not on particular individuals but on aggregate outcomes” (p. 195). Van Dijck (2014) goes into further details regarding the perils posed by metadata and data to the society, in particular to the privacy of citizens. Bail (2014) addresses the same issue regarding the impact of Big Data on societal issues, but underlines the leading roles of cultural sociologists and their theories for the correct application of Big Data.

Library organizations have been traditional proponents of core democratic values such as protection of privacy and elucidation of related ethical questions (Miltenoff & Hauptman, 2005). In recent books about Big Data and libraries, ethical issues are important part of the discussion (Weiss, 2018). Library blogs also discuss these issues (Harper & Oltmann, 2017). An academic library’s role is to educate its patrons about those values. Sugimoto et al (2012) reflect on the need for discussion about Big Data in Library and Information Science. They clearly draw attention to the library “tradition of organizing, managing, retrieving, collecting, describing, and preserving information” (p.1) as well as library and information science being “a historically interdisciplinary and collaborative field, absorbing the knowledge of multiple domains and bringing the tools, techniques, and theories” (p. 1). Sugimoto et al (2012) sought a wide discussion among the library profession regarding the implications of Big Data on the profession, no differently from the activities in other fields (e.g., Wixom, Ariyachandra, Douglas, Goul, Gupta, Iyer, Kulkami, Mooney, Phillips-Wren, Turetken, 2014). A current Andrew Mellon Foundation grant for Visualizing Digital Scholarship in Libraries seeks an opportunity to view “both macro and micro perspectives, multi-user collaboration and real-time data interaction, and a limitless number of visualization possibilities – critical capabilities for rapidly understanding today’s large data sets (Hwangbo, 2014).

The importance of the library with its traditional roles, as described by Sugimoto et al (2012) may continue, considering the Big Data platform proposed by Wu, Wu, Khabsa, Williams, Chen, Huang, Tuarob, Choudhury, Ororbia, Mitra, & Giles (2014). Such platforms will continue to emerge and be improved, with librarians as the ultimate drivers of such platforms and as the mediators between the patrons and the data generated by such platforms.

Every library needs to find its place in the large organization and in society in regard to this very new and very powerful phenomenon called Big Data. Libraries might not have the trained staff to become a leader in the process of organizing and building the complex mechanism of this new knowledge architecture, but librarians must educate and train themselves to be worthy participants in this new establishment.

 

Method

 

The study will be cleared by the SCSU IRB.
The survey will collect responses from library population and it readiness to use and use of Big Data.  Send survey URL to (academic?) libraries around the world.

Data will be processed through SPSS. Open ended results will be processed manually. The preliminary research design presupposes a mixed method approach.

The study will include the use of closed-ended survey response questions and open-ended questions.  The first part of the study (close ended, quantitative questions) will be completed online through online survey. Participants will be asked to complete the survey using a link they receive through e-mail.

Mixed methods research was defined by Johnson and Onwuegbuzie (2004) as “the class of research where the researcher mixes or combines quantitative and qualitative research techniques, methods, approaches, concepts, or language into a single study” (Johnson & Onwuegbuzie, 2004 , p. 17).  Quantitative and qualitative methods can be combined, if used to complement each other because the methods can measure different aspects of the research questions (Sale, Lohfeld, & Brazil, 2002).

 

Sampling design

 

  • Online survey of 10-15 question, with 3-5 demographic and the rest regarding the use of tools.
  • 1-2 open-ended questions at the end of the survey to probe for follow-up mixed method approach (an opportunity for qualitative study)
  • data analysis techniques: survey results will be exported to SPSS and analyzed accordingly. The final survey design will determine the appropriate statistical approach.

 

Project Schedule

 

Complete literature review and identify areas of interest – two months

Prepare and test instrument (survey) – month

IRB and other details – month

Generate a list of potential libraries to distribute survey – month

Contact libraries. Follow up and contact again, if necessary (low turnaround) – month

Collect, analyze data – two months

Write out data findings – month

Complete manuscript – month

Proofreading and other details – month

 

Significance of the work 

While it has been widely acknowledged that Big Data (and its handling) is changing higher education (https://blog.stcloudstate.edu/ims?s=big+data) as well as academic libraries (https://blog.stcloudstate.edu/ims/2016/03/29/analytics-in-education/), it remains nebulous how Big Data is handled in the academic library and, respectively, how it is related to the handling of Big Data on campus. Moreover, the visualization of Big Data between units on campus remains in progress, along with any policymaking based on the analysis of such data (hence the need for comprehensive visualization).

 

This research will aim to gain an understanding on: a. how librarians are handling Big Data; b. how are they relating their Big Data output to the campus output of Big Data and c. how librarians in particular and campus administration in general are tuning their practices based on the analysis.

Based on the survey returns (if there is a statistically significant return), this research might consider juxtaposing the practices from academic libraries, to practices from special libraries (especially corporate libraries), public and school libraries.

 

 

References:

 

Adams Becker, S., Cummins M, Davis, A., Freeman, A., Giesinger Hall, C., Ananthanarayanan, V., … Wolfson, N. (2017). NMC Horizon Report: 2017 Library Edition.

Andrejevic, M., & Gates, K. (2014). Big Data Surveillance: Introduction. Surveillance & Society, 12(2), 185–196.

Asamoah, D. A., Sharda, R., Hassan Zadeh, A., & Kalgotra, P. (2017). Preparing a Data Scientist: A Pedagogic Experience in Designing a Big Data Analytics Course. Decision Sciences Journal of Innovative Education, 15(2), 161–190. https://doi.org/10.1111/dsji.12125

Bail, C. A. (2014). The cultural environment: measuring culture with big data. Theory and Society, 43(3–4), 465–482. https://doi.org/10.1007/s11186-014-9216-5

Borgman, C. L. (2015). Big Data, Little Data, No Data: Scholarship in the Networked World. MIT Press.

Bruns, A. (2013). Faster than the speed of print: Reconciling ‘big data’ social media analysis and academic scholarship. First Monday, 18(10). Retrieved from http://firstmonday.org/ojs/index.php/fm/article/view/4879

Bughin, J., Chui, M., & Manyika, J. (2010). Clouds, big data, and smart assets: Ten tech-enabled business trends to watch. McKinsey Quarterly, 56(1), 75–86.

Chen, X. W., & Lin, X. (2014). Big Data Deep Learning: Challenges and Perspectives. IEEE Access, 2, 514–525. https://doi.org/10.1109/ACCESS.2014.2325029

Cohen, J., Dolan, B., Dunlap, M., Hellerstein, J. M., & Welton, C. (2009). MAD Skills: New Analysis Practices for Big Data. Proc. VLDB Endow., 2(2), 1481–1492. https://doi.org/10.14778/1687553.1687576

Daniel, B. (2015). Big Data and analytics in higher education: Opportunities and challenges. British Journal of Educational Technology, 46(5), 904–920. https://doi.org/10.1111/bjet.12230

Daries, J. P., Reich, J., Waldo, J., Young, E. M., Whittinghill, J., Ho, A. D., … Chuang, I. (2014). Privacy, Anonymity, and Big Data in the Social Sciences. Commun. ACM, 57(9), 56–63. https://doi.org/10.1145/2643132

De Mauro, A. D., Greco, M., & Grimaldi, M. (2016). A formal definition of Big Data based on its essential features. Library Review, 65(3), 122–135. https://doi.org/10.1108/LR-06-2015-0061

De Mauro, A., Greco, M., & Grimaldi, M. (2015). What is big data? A consensual definition and a review of key research topics. AIP Conference Proceedings, 1644(1), 97–104. https://doi.org/10.1063/1.4907823

Dumbill, E. (2012). Making Sense of Big Data. Big Data, 1(1), 1–2. https://doi.org/10.1089/big.2012.1503

Eaton, M. (2017). Seeing Library Data: A Prototype Data Visualization Application for Librarians. Publications and Research. Retrieved from http://academicworks.cuny.edu/kb_pubs/115

Emanuel, J. (2013). Usability testing in libraries: methods, limitations, and implications. OCLC Systems & Services: International Digital Library Perspectives, 29(4), 204–217. https://doi.org/10.1108/OCLC-02-2013-0009

Graham, M., & Shelton, T. (2013). Geography and the future of big data, big data and the future of geography. Dialogues in Human Geography, 3(3), 255–261. https://doi.org/10.1177/2043820613513121

Harper, L., & Oltmann, S. (2017, April 2). Big Data’s Impact on Privacy for Librarians and Information Professionals. Retrieved November 7, 2017, from https://www.asist.org/publications/bulletin/aprilmay-2017/big-datas-impact-on-privacy-for-librarians-and-information-professionals/

Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Ullah Khan, S. (2015). The rise of “big data” on cloud computing: Review and open research issues. Information Systems, 47(Supplement C), 98–115. https://doi.org/10.1016/j.is.2014.07.006

Hwangbo, H. (2014, October 22). The future of collaboration: Large-scale visualization. Retrieved November 7, 2017, from http://usblogs.pwc.com/emerging-technology/the-future-of-collaboration-large-scale-visualization/

Laney, D. (2001, February 6). 3D Data Management: Controlling Data Volume, Velocity, and Variety.

Miltenoff, P., & Hauptman, R. (2005). Ethical dilemmas in libraries: an international perspective. The Electronic Library, 23(6), 664–670. https://doi.org/10.1108/02640470510635746

Philip Chen, C. L., & Zhang, C.-Y. (2014). Data-intensive applications, challenges, techniques and technologies: A survey on Big Data. Information Sciences, 275(Supplement C), 314–347. https://doi.org/10.1016/j.ins.2014.01.015

Power, D. J. (2014). Using ‘Big Data’ for analytics and decision support. Journal of Decision Systems, 23(2), 222–228. https://doi.org/10.1080/12460125.2014.888848

Provost, F., & Fawcett, T. (2013). Data Science and its Relationship to Big Data and Data-Driven Decision Making. Big Data, 1(1), 51–59. https://doi.org/10.1089/big.2013.1508

Reilly, S. (2013, December 12). What does Horizon 2020 mean for research libraries? Retrieved November 7, 2017, from http://libereurope.eu/blog/2013/12/12/what-does-horizon-2020-mean-for-research-libraries/

Reyes, J. (2015). The skinny on big data in education: Learning analytics simplified. TechTrends: Linking Research & Practice to Improve Learning, 59(2), 75–80. https://doi.org/10.1007/s11528-015-0842-1

Schroeder, R. (2014). Big Data and the brave new world of social media research. Big Data & Society, 1(2), 2053951714563194. https://doi.org/10.1177/2053951714563194

Sugimoto, C. R., Ding, Y., & Thelwall, M. (2012). Library and information science in the big data era: Funding, projects, and future [a panel proposal]. Proceedings of the American Society for Information Science and Technology, 49(1), 1–3. https://doi.org/10.1002/meet.14504901187

Tene, O., & Polonetsky, J. (2012). Big Data for All: Privacy and User Control in the Age of Analytics. Northwestern Journal of Technology and Intellectual Property, 11, [xxvii]-274.

van Dijck, J. (2014). Datafication, dataism and dataveillance: Big Data between scientific paradigm and ideology. Surveillance & Society; Newcastle upon Tyne, 12(2), 197–208.

Waller, M. A., & Fawcett, S. E. (2013). Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management. Journal of Business Logistics, 34(2), 77–84. https://doi.org/10.1111/jbl.12010

Weiss, A. (2018). Big-Data-Shocks-An-Introduction-to-Big-Data-for-Librarians-and-Information-Professionals. Rowman & Littlefield Publishers. Retrieved from https://rowman.com/ISBN/9781538103227/Big-Data-Shocks-An-Introduction-to-Big-Data-for-Librarians-and-Information-Professionals

West, D. M. (2012). Big data for education: Data mining, data analytics, and web dashboards. Governance Studies at Brookings, 4, 1–0.

Willis, J. (2013). Ethics, Big Data, and Analytics: A Model for Application. Educause Review Online. Retrieved from https://docs.lib.purdue.edu/idcpubs/1

Wixom, B., Ariyachandra, T., Douglas, D. E., Goul, M., Gupta, B., Iyer, L. S., … Turetken, O. (2014). The current state of business intelligence in academia: The arrival of big data. CAIS, 34, 1.

Wu, X., Zhu, X., Wu, G. Q., & Ding, W. (2014). Data mining with big data. IEEE Transactions on Knowledge and Data Engineering, 26(1), 97–107. https://doi.org/10.1109/TKDE.2013.109

Wu, Z., Wu, J., Khabsa, M., Williams, K., Chen, H. H., Huang, W., … Giles, C. L. (2014). Towards building a scholarly big data platform: Challenges, lessons and opportunities. In IEEE/ACM Joint Conference on Digital Libraries (pp. 117–126). https://doi.org/10.1109/JCDL.2014.6970157

 

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more on big data





librarian versus information specialist

USA Today career advice feature on October 13, 2017 entitled “Careers: 8 jobs that won’t exist in 2030,”  https://www.usatoday.com/story/money/careers/2017/10/13/8-jobs-that-wont-exist-in-2030/104219994/ provoked the following reaction by the ALICE Board of Directors:

Ms. Joanne Lipman
October 20, 2017
Editor-in-Chief of USA Today
7950 Jones Branch Drive
McLean, VA 22108

Dear Ms. Lipman,

In our roles as the Board of Directors of the Association for Library and Information Science Education (ALISE), we are writing to express our profound disappointment with the USA Today career advice feature on October 13, 2017 entitled “Careers: 8 jobs that won’t exist in 2030,” which declared that “librarian” is the number one career among the eight jobs that inaccurate statement on two fronts: first, that the profession is declining, and second, that this alleged will disappear in 2030. This is a false and decline is a result of libraries as warehouses of printed books.

The author of this article may not realize that a professional librarian position in the U.S. and many other countries requires a Master’s degree. According to a recent article in Library Journal, 86% of recent graduates from American Library Association (ALA) accredited schools have found jobs. Another recent report (released on September 28, 2017) by Pearson, Nesta, and Oxford University predicts growth in the information professions, including librarians, curators, and archivists. They are among the top ten jobs likely to experience increased demand in 2030. The report is summarized by Library Journal in its article entitled “The Job Outlook: In 2030, Librarians Will Be in Demand.” Furthermore, your own job posting section for librarian positions does not show the decline of our profession. A close reading of the job titles should have indicated to the author that librarians do more than simply check out books.

This article demonstrates a lack of understanding of librarians’ work as information professionals. My note: but so do lack understanding a lot of librarians, paraprofessionals and administrators in libraries. They are the one, who leave the impressions reflected in the article of US Today. Information professionals IS the keyword and, as during the hype around year 2000 with Barnes & Nobles, a great number of people working in libraries continue to behave as it is the Middle Ages and care of paper-based materials the one and only responsibility a “librarian” may have. The lack of understanding  regarding the wide scope  of “information professionals” is profound.

Libraries provide access to print and special collections of media, and subscription-based or free electronic resources. All of these must be curated, cataloged, or organized by professional librarians to make them accessible to their users. My note: beating your own drum is good, but when failing to recognize the existence of folksonomy and its impact, do not get upset when US Today reflects the impact

College and university librarians carry out research consultations and instruct student and faculty in finding, evaluating, and using information. My note: when faculty let them do it. And administration recognizes it. It is a shaky position, which does not exclude the 2030 scenario.

Public librarians connect patrons to community resources, lead programming for children and adults, and engage in community outreach and advocacy. Special librarians work for corporations, federal and state institutions, focusing on gathering competitive intelligence and making sure their organizations have access to the information they need to make sound business or strategic decisions.

The article also inaccurately presents libraries as dedicated solely to books:

More and more people are clearing out those paperbacks and downloading e-books on their Tablets and Kindles instead. The same goes for borrowing — as books fall out of favor, libraries are not as popular as they once were. That means you’ll have a tough time finding a job if you decide to become a librarian. Many schools and universities are already moving their libraries off the shelves and onto the Internet.

In addition to providing access to books, journals, newspapers, and other media, both electronically and in print, libraries provide access to technology, from computers, laptops, and iPads to 3D printers,
My note: are we? are we doing this at our library? Are the reference librarians allowing such blasphemous thoughts penetrate this library? And if they do, do they allow other professionals to collaborate with them, or “keep it for themselves?”

multimedia software, and recording studios.
My note: whaaat?

Many libraries have expanded their non-print collections and are circulating a wide variety of objects including tools, musical instruments, toys, wifi hotspots, and artwork. Libraries are highly valued as community centers and safe spaces that allow people to connect with information and with each other. Research shows that libraries are one of the most trusted and valued public institutions in the country.

The article further argues that librarians and libraries are not needed because printed books are falling out of favor. However, there is considerable counter-evidence that printed books are still in demand, including the articles cited below.

Cain, S. (2017, March 14). Ebook sales continue to fall as younger generations drive appetite for print. The Guardian. Retrieved from:

Jenkins, S. (2016, May 13). Books are back. Only the technodazzled thought they would go away. The Guardian. Retrieved from: https://www.theguardian.com/commentisfree/2016/may/13/books- ebook-publishers-paper

Milliot, J. (2017, January 20). The Bad News About E-books: Nielsen reports units fell 16% in 2016 compared to 2015. Publishers Weekly. Retrieved from:

We respectfully request an open response from you or from the author of the article. Sincerely,

continue-to-fall-nielsen-survey-uk-book-sales

topic/digital/retailing/article/72563-the-bad-news-about-e-books.html

ALISE Board of Directors

Dietmar Wolfram (President), Heidi Julien (President-Elect), Louise Spiteri (Past President), Denice

Adkins (Secretary/Treasurer), Leanne Bowler (Director for Special Interest Groups), Cecilia Salvatore

(Director for Membership Services), Rong Tang (Director for External Relations)

 

cybersecurity kaspersky

Kaspersky Lab Has Been Working With Russian Intelligence

 Emails show the security-software maker developed products for the FSB and accompanied agents on raids. July 11, 2017, 4:00 AM CDT 
https://www.bloomberg.com/news/articles/2017-07-11/kaspersky-lab-has-been-working-with-russian-intelligence

WHY THE US GOVERNMENT SHOULDN’T BAN KASPERSKY SECURITY SOFTWARE

  09.04.17

https://www.wired.com/story/why-the-us-government-shouldnt-ban-kaspersky-security-software/

he General Services Administration (GSA) has ordered the removal of Kaspersky software platforms from its catalogues of approved vendors. Meanwhile, the Senate is considering a draft bill of the 2018 National Defense Acquisition Authorization (known as the NDAA, it specifies the size of and uses for the fiscal year 2018 US Defense Department budget) that would bar the use of Kaspersky products in the military.

W.H. cybersecurity coordinator warns against using Kaspersky Lab software

https://www.cbsnews.com/news/kasperksy-lab-software-suspected-ties-russian-intelligence-rob-joyce/

Kaspersky: Russia responds to US ban on software

14 September 2017 http://www.bbc.com/news/world-us-canada-41262049

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KASPERSKY, RUSSIA, AND THE ANTIVIRUS PARADOX

 10.11.17

https://www.wired.com/story/kaspersky-russia-antivirus/

Israel and Russia’s overlapping hacks of Kaspersky complicate espionage narrative

Israel and Russia’s overlapping hacks of Kaspersky complicate espionage narrative

The whole ordeal is a nightmare for Kaspersky Lab. The company looks incompetent at preventing state-sponsored hacks in the best-case scenario and complicit with the Russian government in the worst-case scenario. However it plays out, the unfolding drama will certainly hurt the software maker’s footprint in the U.S., where Congress has already taken action to purge the government of the company’s software.

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more on cybersecurity in this IMS blog
https://blog.stcloudstate.edu/ims?s=cybersecurity

NMC Horizon Report 2017 K12

NMC/CoSN Horizon Report 2017 K–12 Edition

https://cdn.nmc.org/wp-content/uploads/2017-nmc-cosn-horizon-report-K12-advance.pdf
p. 16 Growing Focus on Measuring Learning
p. 18 Redesigning Learning Spaces
Biophilic Design for Schools : The innate tendency in human beings to focus on life and lifelike processes is biophilia

p. 20 Coding as a Literacy

 https://www.facebook.com/bracekids/
Best Coding Tools for High School http://go.nmc.org/bestco

p. 24

Significant Challenges Impeding Technology Adoption in K–12 Education
Improving Digital Literacy.
 Schools are charged with developing students’ digital citizenship, ensuring mastery of responsible and appropriate technology use, including online etiquette and digital rights and responsibilities in blended and online learning settings. Due to the multitude of elements comprising digital literacy, it is a challenge for schools to implement a comprehensive and cohesive approach to embedding it in curricula.
Rethinking the Roles of Teachers.
Pre-service teacher training programs are also challenged to equip educators with digital and social–emotional competencies, such as the ability to analyze and use student data, amid other professional requirements to ensure classroom readiness.
p. 28 Improving Digital Literacy
Digital literacy spans across subjects and grades, taking a school-wide effort to embed it in curricula. This can ensure that students are empowered to adapt in a quickly changing world
Education Overview: Digital Literacy Has to Encompass More Than Social Use

What Web Literacy Skills are Missing from Learning Standards? Are current learning standards addressing the essential web literacy skills everyone should know?https://medium.com/read-write-participate/what-essential-web-skills-are-missing-from-current-learning-standards-66e1b6e99c72

 

web literacy;
alignment of stadards

The American Library Association (ALA) defines digital literacy as “the ability to use information and communication technologies to find, evaluate, create, and communicate or share information, requiring both cognitive and technical skills.” While the ALA’s definition does align to some of the skills in “Participate”, it does not specifically mention the skills related to the “Open Practice.”

The library community’s digital and information literacy standards do not specifically include the coding, revision and remixing of digital content as skills required for creating digital information. Most digital content created for the web is “dynamic,” rather than fixed, and coding and remixing skills are needed to create new content and refresh or repurpose existing content. Leaving out these critical skills ignores the fact that library professionals need to be able to build and contribute online content to the ever-changing Internet.

p. 30 Rethinking the Roles of Teachers

Teachers implementing new games and software learn alongside students, which requires
a degree of risk on the teacher’s part as they try new methods and learn what works
p. 32 Teaching Computational Thinking
p. 36 Sustaining Innovation through Leadership Changes
shift the role of teachers from depositors of knowledge to mentors working alongside students;
p. 38  Important Developments in Educational Technology for K–12 Education
Consumer technologies are tools created for recreational and professional purposes and were not designed, at least initially, for educational use — though they may serve well as learning aids and be quite adaptable for use in schools.
Drones > Real-Time Communication Tools > Robotics > Wearable Technology
Digital strategies are not so much technologies as they are ways of using devices and software to enrich teaching and learning, whether inside or outside the classroom.
> Games and Gamification > Location Intelligence > Makerspaces > Preservation and Conservation Technologies
Enabling technologies are those technologies that have the potential to transform what we expect of our devices and tools. The link to learning in this category is less easy to make, but this group of technologies is where substantive technological innovation begins to be visible. Enabling technologies expand the reach of our tools, making them more capable and useful
Affective Computing > Analytics Technologies > Artificial Intelligence > Dynamic Spectrum and TV White Spaces > Electrovibration > Flexible Displays > Mesh Networks > Mobile Broadband > Natural User Interfaces > Near Field Communication > Next Generation Batteries > Open Hardware > Software-Defined Networking > Speech-to-Speech Translation > Virtual Assistants > Wireless Powe
Internet technologies include techniques and essential infrastructure that help to make the technologies underlying how we interact with the network more transparent, less obtrusive, and easier to use.
Bibliometrics and Citation Technologies > Blockchain > Digital Scholarship Technologies > Internet of Things > Syndication Tools
Learning technologies include both tools and resources developed expressly for the education sector, as well as pathways of development that may include tools adapted from other purposes that are matched with strategies to make them useful for learning.
Adaptive Learning Technologies > Microlearning Technologies > Mobile Learning > Online Learning > Virtual and Remote Laboratories
Social media technologies could have been subsumed under the consumer technology category, but they have become so ever-present and so widely used in every part of society that they have been elevated to their own category.
Crowdsourcing > Online Identity > Social Networks > Virtual Worlds
Visualization technologies run the gamut from simple infographics to complex forms of visual data analysis
3D Printing > GIS/Mapping > Information Visualization > Mixed Reality > Virtual Reality
p. 46 Virtual Reality
p. 48 AI
p. 50 IoT

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more on NMC Horizon Reports in this IMS blog

https://blog.stcloudstate.edu/ims?s=new+media+horizon

embedded librarian qualifications

qualifications of the embedded librarian: is there any known case for an academic library to employ as embedded librarian a specialist who has both MLIS and terminal degree in a discipline, where he works as embedded librarian.

I also think that we need to be more welcoming to people who may not have come through a traditional education program (i.e., the M.L.S.) but who bring critical skills and new perspectives into the library.
The Changing Roles of Academic and Research Libraries – Higher Ed Careers – HigherEdJobs. (2013). Retrieved from https://www.higheredjobs.com/HigherEdCareers/interviews.cfm?ID=632

“Embedded librarian” is understood as librarians presence in traditional classroom environments and or through LMS.
Then opinions vary: According to Kvienlid (2012), http://www.cclibinstruction.org/wp-content/uploads/2012/02/CCLI2012proceedings_Kvenild.pdf

  1. “Their engagement can be over two or more class sessions, even co-teaching the class in some cases. This model provides in-depth knowledge of student research projects during the research and revision process.” This is for first-year experience students.
  2. Embedding with project teams in Business and STEM programs involves:  “in – depth participation in short – term projects, aiding the team in their searches, literature review, grant preparation, data curation, or other specialized information aspects of the project. This level of embedment requires a heavy time commitment during the length of the project, as well as subject expertise and established trust with the research team.”
  3. embedding in departments as a liaison. 
    “They are usually closely affiliated with the departme nt (maybe even more so than with the libraries) and might be paid out of departmental funds. These librarians learn the ways and needs of their patrons in their natural environment. They often work as finders of information, organizers of information, and taxonomy creators. Embedding within departments provides in – depth knowledge of the users of library services, along with potential isolation from other librarians. It involves a high degree of specialization, co – location and shared responsibility”

best practices, new opptunities (video, screencasts, social media. Adobe Connect) , Assessment

here is Kvenild 2016 article also

Kvenild, C., Tumbleson, B. E., Burke, J. J., & Calkins, K. (2016). Embedded librarianship: questions and answers from librarians in the trenches. Library Hi Tech34(2), 8-11.

http://login.libproxy.stcloudstate.edu/login?qurl=http%3a%2f%2fsearch.ebscohost.com%2flogin.aspx%3fdirect%3dtrue%26db%3dllf%26AN%3d124513010%26site%3dehost-live%26scope%3dsite

utilizing technology tools; and providing information literacy and assessment. Technology tools continue to evolve and change, and most librarians can anticipate using multiple learning management systems over time. There is an ongoing need for professional development in online library instruction and assessment

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Tumbleson, B. E., & Burke, J. (. J. (2013). Embedding librarianship in learning management systems: A how-to-do-it manual for librarians. Neal-Schuman, an imprint of the American Library Association.

https://blog.stcloudstate.edu/ims/2015/05/04/lms-and-embedded-librarianship/

read in red my emphasis on excerpts from that book

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Monroe-Gulick, A., O ’brien, M. S., & White, G. (2013). Librarians as Partners: Moving from Research Supporters to Research Partners. In Moving from Research Supporters to Research Partners. Indianapolis, IN. Retrieved from http://www.ala.org/acrl/sites/ala.org.acrl/files/content/conferences/confsandpreconfs/2013/papers/GulickOBrienWhite_Librarians.pdf

From Supporter to Partner

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Andrews, C. (2014). An Examination of Embedded Librarian Ideas and Practices: A Critical Bibliography.

http://academicworks.cuny.edu/cgi/viewcontent.cgi?article=1000&context=bx_pubs

emphasis is on undergraduate. “a tremendous amount of literature published addressing library/faculty partnerships.”

“There will never be one golden rule when it comes to way in which a librarian networks with faculty on campus.”

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Bobish, G. (2011). Participation and Pedagogy: Connecting the Social Web to ACRL Learning Outcomes. Journal Of Academic Librarianship37(1), 54-63.

http://login.libproxy.stcloudstate.edu/login?qurl=http%3a%2f%2fsearch.ebscohost.com%2flogin.aspx%3fdirect%3dtrue%26db%3daph%26AN%3d57844282%26site%3dehost-live%26scope%3dsite

https://www.researchgate.net/publication/232382226_Participation_and_Pedagogy_Connecting_the_Social_Web_to_ACRL_Learning_Outcomes

requested through researchgate

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Cahoy, E. S., & Schroeder, R. (2012). EMBEDDING AFFECTIVE LEARNING OUTCOMES IN LIBRARY INSTRUCTION. Communications In Information Literacy6(1), 73-90.

http://login.libproxy.stcloudstate.edu/login?qurl=http%3a%2f%2fsearch.ebscohost.com%2flogin.aspx%3fdirect%3dtrue%26db%3dllf%26AN%3d84110749%26site%3dehost-live%26scope%3dsite

attention must be paid to students’ affective, emotional needs throughout the research
process. My note: And this is exactly what comprise half of my service of. The relatively small amount of research into affective learning, as opposed to cognition, remains true to this day.

p. 78  As the 50-minute one-shot session is still the norm for library research sessions on the
majority of campuses, behavioral assessment can be problematic.

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Cha, T., & Hsieh, P. (2009). A Case Study of Faculty Attitudes toward Collaboration with Librarians to Integrate Information Literacy into the Curriculum. (Chinese). Journal Of Educational Media & Library Sciences46(4), 441-467.

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Meanwhile, different attitudes were revealed between teaching higher order thinking skills and lower order thinking skills. Librarian Domain Knowledge, Librarian Professionalism, Curriculum Strategies, and Student Learning were identified as factorial dimensions influencing faculty-librarian collaboration.

two major concerns of “Students Learning” and “Librarian Professionalism” from faculty provide insights that understanding pedagogy, enhancing instructional skills and continuing progress in librarian professionalism will contribute to consolidating partnerships when developing course-specific IL programs.

this proves how much right I am to develophttp://web.stcloudstate.edu/pmiltenoff/bi/

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COVONE, N., & LAMM, M. (2010). Just Be There: Campus, Department, Classroom…and Kitchen?. Public Services Quarterly6(2/3), 198-207. doi:10.1080/15228959.2010.498768

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p. 199 There is also the concept of the ‘‘blended librarian’’ as described by Bell and Shank (2004) to merge the assets and abilities of a librarian with those of one versed in technology. Academic librarians are obligated and privileged to merge several strengths to meet the needs of their user population. No longer is the traditional passive role acceptable. Bell and Shank (2004) implore academic librarians ‘‘to proactively advance their integration into the teaching and learning process’’ (p. 373).

p. 200 first year experience

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Dewey, B. I. (2004). The Embedded Librarian: Strategic Campus Collaborations. Resource Sharing & Information Networks17(1-2), 5-17.

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p. 6 the imperative for academic librarians to become embedded in the priorities of teaching, learning, and research in truly relevant ways. Embedding as an effective mode of collaboration will be explored through examples relating to the physical and virtual environment. An analysis of current approaches and next steps for the future will be addressed, with the goal of providing food for thought as librarians assess programs and activities in terms of positive collaboration and effectiveness

p. 9  new academic salon,
p. 10 the pervasive campus librarian
The fact that we are generalists and devoted to all disciplines and all sectors of the academic user community gives us a special insight on ways to advance the university and achieve its mission

this contradicts Shumaker and Talley, who assert that the embedded librarian is NOT a generalist, but specialist

p. 11 Central administrators, along with the chief academic officer, make critical funding and policy decisions affecting the library

p. 11 librarians and teaching.
In 2011, interim dean Ruth Zietlow “gave up” classes after the messy divorce with CIM. the library faculty poled itself to reveal that a significant number of the faculty does NOT want to teach.

p. 14 influencing campus virtual space
this library’s social media is imploded in its image.

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DREWES, K., & HOFFMAN, N. (2010). Academic Embedded Librarianship: An Introduction. Public Services Quarterly6(2/3), 75-82. doi:10.1080/15228959.2010.498773

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p. 75 Literature about embedded librarianship is so diverse that the definition of this term, as well as related goals and methods when embedding services and programs, can be difficult to define. What are some characteristics of an embedded program? Is embedding only achieved through an online classroom? How did embedded librarianship first begin in academic libraries?

p. 76 adopted as a term because it is a similar concept to embedded journalism.
Embedded librarian programs often locate librarians involved in the spaces of their users and colleagues, either physically or through technology, in order to become a part of their users’ culture. A librarian’s physical and metaphorical location is often what defines them as embedded.

David Shumaker and Mary Talley (see bottom of this blog entry)

Highly technical tasks, such as creating information architecture, using analytical software, and computer and network systems management were performed by less than 20% of the survey respondents. Shumaker and Talley also report embedded services are often found in tandem with specialized funding. This study also confirms embedded services are not new.

p. 77 history and evolution of the role

p. 79 methods of embedding

In North America, one would be hard-pressed to find a library that does not already electronically embed services into online reference chat, make use of Web 2.0 communication applications such as Twitter and blogs, and embed librarians and collaborators within online classrooms. These are all examples of the embedding process (Ramsay & Kinnie, 2006). The name embedded librarian in this context is a double entendre, as the insertion of widgets and multimedia files into HTML code when designing Web sites is usually called the embedding of the file.
My note: is this library actually is one that does not use Twitter and blogs in the hard-core meaning of library service

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Essinger, C. c., & Ke, I. i. (2013). Outreach: What Works?. Collaborative Librarianship5(1), 52-58.

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Recommendations:
The authors distributed their findings at a half day workshop attended by nearly all liaisons. They made the following recommendations:

  • • Personalize outreach.
  • • Spend more time marketing and reaching out to departments, even though it might mean having less time for other activities.
  • • Find an alternative advocate who can build your reputation through word-ofmouth if your relationship with your assigned department liaison is not fruitful.
  • • Seek opportunities to meet department staff in person.
  • • As much as possible, administrators should commit to keeping liaisons assignments static.

p. 57 that faculty outreach is similar to other types of relationship building: it requires time to establish trust, respect and appreciation on both sides. Even a liaison’s challenging first two years can, therefore, be viewed as productive because the relationship is developing in the background. This phenomenon also signals to library administrators the benefits of maintaining a stable workforce. Frequent changes in academic assignments and staff changes can lead to a less engaged user population, and also make the outreach assignment much more frustrating.

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Heider, K. L. (2010). Ten Tips for Implementing a Successful Embedded Librarian Program. Public Services Quarterly6(2-3), 110-121.

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embedded librarian program in the university’s College of Education and Educational Technology

p. 112 Make Sure You Have Buy-in from All Stakeholders

Include College=Department Faculty in the Interview Process

Look for the Following Qualities=Qualifications in an Embedded Librarian

Have a Physical Presence in the College=Department a Few Days Each Week

Serve as Bibliographer to College=Department

Offer Bibliographic Instruction Sessions and Guest Lectures at Main Campus, Branch Campuses, and Centers

Develop Collaborative Programs that Utilize the Library’s Resources for College=Department Improvement

#9 Offer to Teach Credit Courses for the College=Department When Department Faculty Are Not Available

#10: Publish Scholarly Works and Present at Professional Conferences with College=Department Faculty. again, Martin Lo, John Hoover,

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Hollister, C. V. (2008). Meeting Them where They Are: Library Instruction for Today’s Students in the World Civilizations Course. Public Services Quarterly4(1), 15-27.

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history and library. My note: can you break the silo in the history department? https://blog.stcloudstate.edu/ims/2017/05/01/history-becker/ 

world civilizations course

Faculty come to the world civilizations enterprise from a broad range of academic disciplines and world experiences, which has a significant impact on their interpretations of world history, their selections of course materials, their teaching styles, and their expectations for students. Moreover, faculty teach the course on a rotating basis. So, there is no single model of faculty-librarian collaboration that can be applied from section to section, or even from semester to semester. Faculty have widely differing views on the role of library instruction in their sections of the course, and the extent to which library research is required for coursework. They also differ in terms of their ability or willingness to collaborate with the libraries. As a result, student access to library instruction varies from section to section.

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Kesselman, M. A., & Watstein, S. B. (2009). Creating Opportunities: Embedded Librarians. Journal Of Library Administration49(3), 383-400.

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p. 384 embedded librarians in the blogosphere.
not even close to the local idea how blog must be used  for library use.

p. 387 definitions

p. 389 clinical librarianship – term from the 1970s.

p. 390 Special librarians and particularly those in corporate settings tend to be more integrated within the company they serve and are often instrumental in cost-related services such as competitive intelligence, scientific, and patent research.

p. 391 Librarians Collaborating With Faculty in Scholarly Communication Activities

My note: this is what I am doing with Martin Lo and used to do with John Hoover. Attempts with the sociology department, IS department

p. 392 Role of Librarians With Multidisciplinary Collaborations

my note : my work with Mark Gill and Mark Petzhold

p. 393 social media
again, this library cannot be farther from the true meaning of Web 2.0 collaboration.

p. 396 organizational structures

Three different types of organizational structures are generally recognized—hierarchical, matrix, and flat. We suggest that each of these conventional structures promotes, to some extent, its own brand of silos—silos that inherently pose obstacles to the assumption of new roles and responsibilities. For example, we question whether the hierarchical organization structures that define many of our libraries, with their emphasis on line, lateral staff and functional relationships and the relative ranks of parts and positions or jobs, are flexible enough to support new roles and responsibilities. In contrast, matrix management offers a different type of organizational management model in which people with similar skills are pooled for work assignments. We suggest that, in contrast to hierarchical structures, matrix management allows team members to share information more readily across task boundaries and allows for specialization that can increase depth of knowledge and allow professional development and career progression to be managed. The third organizational structure mentioned—flat or horizontal organizations, refers to an organizational structure with few or no levels of intervening management between staff and managers

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Kobzina, N. G. (2010). A Faculty—Librarian Partnership: A Unique Opportunity for Course Integration. Journal Of Library Administration50(4), 293-314.

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my LIB 290 is such class. and I am the only one who is teaching it online by QM standards.
Can the administration encourage Global Studies to combine efforts with my LIB 290 and offer a campus-wide class?

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Lange, J. j., Canuel, R. r., & Fitzgibbons, M. m. (2011). Tailoring information literacy instruction and library services for continuing education. Journal Of Information Literacy5(2), 66-80.

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McGill. p. 77 The McGill University Library’s system-wide liaison model emphasises a disciplinary approach, placing the impetus for outreach and service on individual librarians responsible for particular departments and user groups.

 

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MCMILLEN, P., & FABBI, J. (2010). How to Be an E3 Librarian. Public Services Quarterly6(2/3), 174-186. doi:10.1080/15228959.2010.497454

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ILL

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Meyer, N. J., & Miller, I. R. (2008). The Library as Service-Learning Partner: A Win-Win Collaboration with Students and Faculty. College & Undergraduate Libraries15(4), 399-413.

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ILL

I did something similar with Keith Christensen in 2012: http://bit.ly/SCSUlibGame, yet again, blocked for further consideration

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Niles, P. (2011). Meeting the Needs of the 21st Century Student. Community & Junior College Libraries17(2), 47-51.

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about Millennials

millennials. p. 48 my note: the losing battle of telling the millennials the value of books

librarians need to emphasize that not all information
is found on the Web and that the information found there might not be
reliable, depending on its source

p. 49 The latest technology can be used for communication. Two examples of this modernization process are making podcasts of library lectures and using instant messaging to answer reference queries. Students need Reference Librarians to assist them in focusing their research, showing them appropriate sources and how to use those sources. The change is not how the librarians serve the students but how the service is delivered. Instead of coming to the reference desk Millennial students may choose to use e-mail, cell phones to send a text message or use a chat reference service to communicate with the librarian. Students want to have 24/7 access to library resources and librarians.

my note: and yet this library still uses 90ish communication – the facebook page is just an easy to edit web page and the concept of Web 2.0 has not arrived or shaped the current communication.

p. 50 Librarians should examine how they present library instruction and ensure that students know why it is important. Further, Lancaster and Stillman state that librarians need to “incorporate some computer-based instruction for Millennials as it allows them to go at their own speed and acknowledges their ability to manage information” (2003, 231).
and, once again, talking about inducing library instruction with technology: http://web.stcloudstate.edu/pmiltenoff/bi/

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Oakleaf, M., & VanScoy, A. (2010). Instructional Strategies for Digital Reference: Methods to Facilitate Student Learning. Reference & User Services Quarterly49(4), 380-390.

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constructivism, social constructivism, active learning

they have a graph about metacognition. I wish, they had found place for metaliteracy also

p. 383. #5 Let them drive. this is EXACTLY what I am offering with:http://web.stcloudstate.edu/pmiltenoff/bi/
build their own construct

p. 386 my work with the doctoral cohorts:

In the current climate of educational accountability, reference librarians should embrace the opportunity to align reference service with the teaching and learning missions of their libraries and overarching institutions

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Rao, S., Cameron, A., & Gaskin-Noel, S. (2009). Embedding General Education Competencies into an Online Information Literacy Course. Journal Of Library Administration49(1/2), 59-73.

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online programs a 3-credit junior seminar course (JRSM 301) to assess general education competencies

p. 60 The 3-credit course titled LISC 260—Using Electronic Resources for Research has existed as a required course for this overseas cohort of students since the fall of 1999. The course was initially developed as a required course to introduce the Mercy College Libraries’ resources to this cohort of overseas students. Full-time librarians teach this course as an overload.

The course lasts for 8 weeks during fall and spring semesters and is divided into eight modules with five quizzes. Summer sessions are shorter; the summer version of the course runs for 6 weeks. There is no midterm exam, final exam, project, or term paper for this course. Sixty percent of the grade is based on the quizzes and assignments and 40% on discussion and class participation.

Each quiz addresses a specific competency. We identified the modules where the five competencies would fit best. A document containing the five general education competencies (critical thinking, information literacy, quantitative reasoning, critical reading, and writing) statements

Critical Thinking Competency This competency was placed in the second module covering the topic “Developing Search Strategies” in the second week of the course. In this module, students are required to select a topic and develop logical terminologies and search strings. This task requires a great deal of critical and analytical thinking and therefore lays the groundwork for the other competencies. The quizzes and assignments for this competency involve breaking or narrowing down the topic into subtopics, comparing two topics or ideas, and similar skills. It is hoped that students will be able to adopt Boolean and other search logic in clear and precise ways in their analyses and interpretations of their topic and use the search strategies they develop for continued assignments throughout the rest of the course.

p. 61. Information Literacy Competency The information literacy competency is introduced in the fourth module in the fourth week of the course. As part of the course, students are required to learn about the Mercy College Libraries’ indexes and databases, which this module addresses (“Information Literacy,” n.d.).

Quantitative Reasoning Competency

This seminar course is a library research course with no statistics or mathematics component. Many students enrolled in the course are not mathematics or statistics majors, hence some creativity was needed to evaluate their mathematical and computational skills. Students are given this competency in the fifth module during the fifth week of the course, which deals with subject-specific sources. It was decided that, to assess this competency, a quiz analyzing data obtained in a tabular format from one of the databases subscribed to by the library would fulfill the requirement. Students are given a choice of various countries and related data, and are asked to create some comparative demographic profiles. This approach has worked well because it gives students the opportunity to focus on countries and data that interest them.

 

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Abrizah, A., Inuwa, S., & Afiqah-Izzati, N. (2016). Systematic Literature Review Informing LIS Professionals on Embedding Librarianship Roles. Journal Of Academic Librarianship42(6), 636-643. doi:10.1016/j.acalib.2016.08.010

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requested through research gate

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Summey, T. P., & Kane, C. A. (2017). Going Where They Are: Intentionally Embedding Librarians in Courses and Measuring the Impact on Student Learning. Journal Of Library & Information Services In Distance Learning11(1/2), 158-174. doi:10.1080/1533290X.2016.1229429

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a pilot project utilizing a variety of methods.

p. 158 The concept of embedded librarians is not new, as it has antecedents in branch librarians of the seventies and academic departmental liaisons of the 1980s and 1990s. However, it is a way to proactively reach out to the campus community (Drewes & Hoffman, 2010).

There is not a one-size-fits-all definition for embedded librarianship. As a result, librarians in academic libraries may be embedded in their communities in a variety of ways and at varying levels from course integrated instruction to being fully embedded as a member of an academic department

p. 160 my note: the authors describe the standard use of LMS for embedded librarianship.

p. 163 they managed to fight out and ensure their efforts are “credited.” Assigning credits to embedded librarian activities can be a very tough process.

p. 165  assessment

the authors utilized a pre-module and post-module survey to assess the students’ performance using library resources. The survey also helped to determine the students’ perceived self-efficacy and confidence in using the library, its resources, and services. In addition, the researchers analyzed student responses to discussion questions, studied feedback at the end of the course in the course discussion forum, and conducted interviews with the faculty members teaching the courses (

In another study, researchers analyzed bibliographies of students in the course to identify what resources they cited in their research projects. More specifically, they analyzed the type and appropriateness of sources used by the students, their currency, and noting how deeply the students delved into their topics. They also looked at the number of references cited. The authors believed that examining the bibliographies provided an incomplete picture because it provided data on the sources selected by the students but not information on how they retrieved those sources.

p. 171 survey sample

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Wu, L., & Thornton, J. (2017). Experience, Challenges, and Opportunities of Being Fully Embedded in a User Group. Medical Reference Services Quarterly36(2), 138-149. doi:10.1080/02763869.2017.1293978

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this is somehow close to my role with the EDAD

Texas A&M University academic health sciences library integrating a librarian into the College of Pharmacy, approximately 250 miles away from the main library. preembedded and postembedded activities demonstrated the effectiveness and impact of

For this study, the fully embedded librarian is defined as one who is out of the traditional library and into an onsite setting to provide a full range of library services that enable collaboration with researchers or teaching faculty and support student learning. In this model, the embedded librarian is a team member of the RCOP rather than a service provider standing apart. The lines are not blurred as to the kind of services that should be embedded because the embedded librarian is 100% onsite. Very few reports in the literature describe fully embedded librarian models such as this. However, one similar model exists at the Arizona Health Sciences Library (AHSL), which is affiliated with the University of Arizona, where librarians relocated their permanent offices to the colleges of Nursing, Public Health, and Pharmacy. AHSL librarians spent close to 100% of their time in the colleges.

p. 144 The embedded librarian has gained recognition in the college and was appointed by the dean to serve on the Instructional Venues Ad Hoc Committee (IVC).

My note: This is what Tom Hergert and I have been advocating for years: the role of the librarian is not to find info and teach how to find info ONLY. The role of the librarian is to bring 21st century to School of Education: information literacy is only a fragment of metaliteracies. Information literacy is a 1990s priority. While it is still an important part of librarians goals, digital literacy, visual and media literacy, as well as technology literacy and pedagogical application of technology is imposed as integral part of the work of the embedded librarian.

p. 145 Challenges and Opportunities

Another challenge involved the librarian’s decision-making and effective communications skills, especially when deciding to implement library services or programs. Other challenges included speaking the client group’s language and knowing the information needs of each group—faculty, students, staff, postdocs, research assistants, and research scientists—to deliver the right information at the point of need. The following strategies were practiced to overcome these challenges: .

  • A positive attitude can increase connectivity, networking, and collaboration beyond a limited space. Proactively seeking opportunities to participate and get involved in library events, instructional programs, training workshops, or committee work shortened the distance between the remote librarian and those in main campus. .
  • As video conferencing tools or programs (e.g., Adobe Connnect, Webex, Skype, Google Hangout, Zoom) were the primary means for the remote at 18:19 24 August 2017 librarian to attend library meetings and teach in library instructional programs, spending some time learning to use these tools and embracing them greatly increased the librarian’s capacity to overcome the feelings of disconnection.
  • The willingness to travel several times a year to the main campus to meet librarians face-to-face helped in understanding the system and in getting help that seemed complicated and difficult via remote resources (e.g., computer issues). .
  • Actively listening to the faculty and students during the conversations helped understand their information needs. This served as the basis to initiate any targeted library services and programs.

Despite the challenges, the embedded librarian was presented with numerous opportunities that a traditional librarian might think impossible or difficult to experience, for example, attending RCOP department meetings or RCOP executive committee meetings to present library resources and services, serving on RCOP committees, co-teaching with faculty in RCOP credit courses, creating and grading assignments counting toward total course credits, and being given access to all RCOP course syllabi in eCampus. (the last is in essence what I am doing right now)

p. 147 Marketing Embedded Library Services

The “What’s in It for Me” (WIIFM) principle1 was a powerful technique to promote embedded library services. The essentials of WIIFM are understanding patron needs and ensuring the marketing effort or communications addressing those needs15—in other words, always telling patrons what is in it for them when promoting library services and resources. Different venues were used to practice WIIFM: .

  • RCOP faculty email list was an effective way to reach out to all the faculty. An email message at the beginning of a semester to the faculty highlighted the embedded librarian’s services. During the semester, the librarian communicated with the faculty on specific resources and services addressing their needs, such as measuring their research impact at the time of their annual evaluation, sharing grant funding resources, and promoting MSL’s resources related to reuse of images. .
  • Library orientations to new students and new faculty allowed the librarian to focus on who to contact for questions and help, available resources, and ways to access them. . Being a guest speaker for the monthly RCOP departmental faculty meetings provided another opportunity for the librarian to promote services and resources.
  • Casual conversations with faculty, students, researchers, and postdocs in the hallway, at staff luncheons, and at RCOP events helped understand their information needs, which helped the librarian initiate MSL service projects and programs.
  • The Facebook private group, created by Instructional Technology & MSL Resources @ Rangel COP, was used to announce MSL resources and services. The group currently has 256 members. The librarian is one of the group administrators who answers student questions related to library and MSL resources. (social media is my forte)

p. 148 This model would not have been successful without the strong support from MSL leadership team and the RCOP administration.

the next step would be to conduct a systematic assessment to get feedback from RCOP administrators, faculty, students, staff, postdocs, and research assistants. The integration of the library instructional program into the RCOP curriculum should be included in RCOP final course evaluations. Another future direction might be to conduct a curriculum map to get a better idea about the learning objectives of each course and to identity information literacy instruction needs across the curriculum. The curriculum mapping might also help better structure library instruction delivery to RCOP. Teaching content might be structured more purposefully and logically sequenced across the curriculum to ensure that what students have learned in one course prepares them for the next ones.

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Blake, L., Ballance, D., Davies, K., Gaines, J. K., Mears, K., Shipman, P., & … Burchfield, V. (2016). Patron perception and utilization of an embedded librarian program. Journal Of The Medical Library Association104(3), 226-230. doi:10.3163/1536-5050.104.3.008

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The overall satisfaction with services was encouraging, but awareness of the embedded program was low, suggesting an overall need for marketing of services.

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Tumbleson, B. E. (2016). Collaborating in Research: Embedded Librarianship in the Learning Management System. Reference Librarian57(3), 224-234. doi:10.1080/02763877.2015.1134376

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O’Toole, E., Barham, R., & Monahan, J. (2016). The Impact of Physically Embedded Librarianship on Academic Departments. Portal: Libraries & The Academy16(3), 529-556.

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Agrawal, P. p., & Kumar, A. (2016). Embedded Librarianship and Academic Setup: Going beyond the library stockades. International Journal Of Information Dissemination & Technology6(3), 170-173.

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India. p. 173 as of today, most of the users are not able to differentiate the library professional who have a bachelor degree, Masters degree and who are doctorate of the subject. My note: not in my case and this is my great advantage.

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Madden, H., & Rasmussen, A. M. (2016). Embedded Librarianship: Einbindung von Wissenschafts- und Informationskompetenz in Schreibkurse / Ein US-amerikanisches Konzept. Bub: Forum Bibliothek Und Information68(4), 202-205.

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ILL

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Delaney, G., & Bates, J. (2015). Envisioning the Academic Library: A Reflection on Roles, Relevancy and Relationships. New Review Of Academic Librarianship21(1), 30-51. doi:10.1080/13614533.2014.911194

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overview of the literature on embedded librarianship

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Freiburger, G., Martin, J. R., & Nuñez, A. V. (2016). An Embedded Librarian Program: Eight Years On. Medical Reference Services Quarterly35(4), 388-396. doi:10.1080/02763869.2016.1220756

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close to my role with the doctoral cohorts

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Wilson, G. (2015). The Process of Becoming an Embedded Curriculum Librarian in Multiple Health Sciences Programs. Medical Reference Services Quarterly34(4), 490-497. doi:10.1080/02763869.2015.1082386

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ILL

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Milbourn, A. a. (2013). A Big Picture Approach: Using Embedded Librarianship to Proactively Address the Need for Visual Literacy Instruction in Higher Education. Art Documentation: Bulletin Of The Art Libraries Society Of North America32(2), 274-283.

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visual literacy – this is IMS area, which was de facto shot off by the omnipotence of “information literacy”

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Talley, M. (2007). Success and the Embedded Librarian. https://www.sla.org/wp-content/uploads/2013/05/Success_and_the_Embedded.pdf

Shumaker, D., Talley, M. Models of Embedded Librarianship: A Research Summary. https://www.sla.org/wp-content/uploads/2013/05/Models_of_Embedded.pdf

Shumaker, D., Talley, M. (2009). Models of Embedded Librarianship. Final Report.  Prepared under the Special Libraries Association Research Grant 2007. https://embeddedlibrarian.files.wordpress.com/2009/08/executivesummarymodels-of-embedded-librarianship.pdf

Shumaker, D. (2013). Embedded Librarianship: Digital World Future? http://www.infotoday.com/CIL2013/session.asp?ID=W30

Modelsof embeddedlibrarianship presentation_final_mt61509 from MaryTalley
slide 8: vision of embedded librarianship:
customer centric not library centric; located in their workplace not our workplace; focused on small groups not entire populations; composed of specialists, not generalists; dependent on domain knowledge not only library skills; aming an analysis and synthesis not simply delivery; in context, not out of context; built on trusted advice not service delivery
all of the above is embodied in my work with the doctoral cohorts
slide 9: why study? because traditional library service model is in decline
slide 11: broad analytical research on successful implementation is lacking
slide 20: large institutions more likely to offer specialized services
slide 21: domain knowledge through continuous learning, not always through formal degrees.
slide 39: what matters most
slide 40: strong leadership by library managers is critical (I will add here “by deans of other colleges)
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bibliography:

Abrizah, A., Inuwa, S., & Afiqah-Izzati, N. (2016). Systematic Literature Review Informing LIS Professionals on Embedding Librarianship Roles. Journal Of Academic Librarianship42(6), 636-643. doi:10.1016/j.acalib.2016.08.010

Agrawal, P. p., & Kumar, A. (2016). Embedded Librarianship and Academic Setup: Going beyond the library stockades. International Journal Of Information Dissemination & Technology6(3), 170-173.

Andrews, C. R. (2014). CUNY Academic Works An Examination of Embedded Librarian Ideas and Practices: A Critical Bibliography. An Examination of Embedded Librarian Ideas and Practices: A Critical Bibliography. Codex, 3(1), 2150–86. Retrieved from http://academicworks.cuny.edu/bx_pubs

Blake, L., Ballance, D., Davies, K., Gaines, J. K., Mears, K., Shipman, P., & … Burchfield, V. (2016). Patron perception and utilization of an embedded librarian program. Journal Of The Medical Library Association104(3), 226-230. doi:10.3163/1536-5050.104.3.008

Bobish, G. (2011). Participation and Pedagogy: Connecting the Social Web to ACRL Learning Outcomes. Journal Of Academic Librarianship37(1), 54-63.

Cahoy, E. S., & Schroeder, R. (2012). EMBEDDING AFFECTIVE LEARNING OUTCOMES IN LIBRARY INSTRUCTION. Communications In Information Literacy6(1), 73-90.

Cha, T., & Hsieh, P. (2009). A Case Study of Faculty Attitudes toward Collaboration with Librarians to Integrate Information Literacy into the Curriculum. (Chinese). Journal Of Educational Media & Library Sciences46(4), 441-467.

COVONE, N., & LAMM, M. (2010). Just Be There: Campus, Department, Classroom…and Kitchen?. Public Services Quarterly6(2/3), 198-207. doi:10.1080/15228959.2010.498768

Delaney, G., & Bates, J. (2015). Envisioning the Academic Library: A Reflection on Roles, Relevancy and Relationships. New Review Of Academic Librarianship21(1), 30-51. doi:10.1080/13614533.2014.911194

Dewey, B. I. (2004). The Embedded Librarian: Strategic Campus Collaborations. Resource Sharing & Information Networks17(1-2), 5-17.

DREWES, K., & HOFFMAN, N. (2010). Academic Embedded Librarianship: An Introduction. Public Services Quarterly6(2/3), 75-82. doi:10.1080/15228959.2010.498773

Essinger, C. c., & Ke, I. i. (2013). Outreach: What Works?. Collaborative Librarianship5(1), 52-58.

Freiburger, G., Martin, J. R., & Nuñez, A. V. (2016). An Embedded Librarian Program: Eight Years On. Medical Reference Services Quarterly35(4), 388-396. doi:10.1080/02763869.2016.1220756

Heider, K. L. (2010). Ten Tips for Implementing a Successful Embedded Librarian Program. Public Services Quarterly6(2-3), 110-121.

Hollister, C. V. (2008). Meeting Them where They Are: Library Instruction for Today’s Students in the World Civilizations Course. Public Services Quarterly4(1), 15-27.

Kesselman, M. A., & Watstein, S. B. (2009). Creating Opportunities: Embedded Librarians. Journal Of Library Administration49(3), 383-400.

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Lange, J. j., Canuel, R. r., & Fitzgibbons, M. m. (2011). Tailoring information literacy instruction and library services for continuing education. Journal Of Information Literacy5(2), 66-80.

Madden, H., & Rasmussen, A. M. (2016). Embedded Librarianship: Einbindung von Wissenschafts- und Informationskompetenz in Schreibkurse / Ein US-amerikanisches Konzept. Bub: Forum Bibliothek Und Information68(4), 202-205.

MCMILLEN, P., & FABBI, J. (2010). How to Be an E3 Librarian. Public Services Quarterly6(2/3), 174-186. doi:10.1080/15228959.2010.497454

Meyer, N. J., & Miller, I. R. (2008). The Library as Service-Learning Partner: A Win-Win Collaboration with Students and Faculty. College & Undergraduate Libraries15(4), 399-413.

Milbourn, A. (2013). A Big Picture Approach: Using Embedded Librarianship to Proactively Address the Need for Visual Literacy Instruction in Higher Education. Art Documentation: Bulletin Of The Art Libraries Society Of North America32(2), 274-283.

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Niles, P. (2011). Meeting the Needs of the 21st Century Student. Community & Junior College Libraries17(2), 47-51.

Oakleaf, M., & VanScoy, A. (2010). Instructional Strategies for Digital Reference: Methods to Facilitate Student Learning. Reference & User Services Quarterly49(4), 380-390.

O’Toole, E., Barham, R., & Monahan, J. (2016). The Impact of Physically Embedded Librarianship on Academic Departments. Portal: Libraries & The Academy16(3), 529-556.

Rao, S., Cameron, A., & Gaskin-Noel, S. (2009). Embedding General Education Competencies into an Online Information Literacy Course. Journal Of Library Administration49(1/2), 59-73.

Shumaker, D., Talley, M. Models of Embedded Librarianship: A Research Summary. https://www.sla.org/wp-content/uploads/2013/05/Models_of_Embedded.pdf

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Summey, T. P., & Kane, C. A. (2017). Going Where They Are: Intentionally Embedding Librarians in Courses and Measuring the Impact on Student Learning. Journal Of Library & Information Services In Distance Learning11(1/2), 158-174. doi:10.1080/1533290X.2016.1229429

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Tumbleson, B. E., & Burke, J. (John J. . (2013). Embedding librarianship in learning management systems : a how-to-do-it manual for librarians. Retrieved from http://www.worldcat.org/title/embedding-librarianship-in-learning-management-systems-a-how-to-do-it-manual-for-librarians/oclc/836261183

Tumbleson, B. E. (2016). Collaborating in Research: Embedded Librarianship in the Learning Management System. Reference Librarian57(3), 224-234. doi:10.1080/02763877.2015.1134376

Wilson, G. (2015). The Process of Becoming an Embedded Curriculum Librarian in Multiple Health Sciences Programs. Medical Reference Services Quarterly34(4), 490-497. doi:10.1080/02763869.2015.1082386

Wu, L., & Thornton, J. (2017). Experience, Challenges, and Opportunities of Being Fully Embedded in a User Group. Medical Reference Services Quarterly36(2), 138-149. doi:10.1080/02763869.2017.1293978

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more about embedded librarian in this IMS blog
https://blog.stcloudstate.edu/ims?s=embedded+librarian

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