Digital Fluency: Preparing Learners for 21st Century Digital Citizenship Eighty-five percent of the jobs available in 2030 do not yet exist. How does higher education prepare our learners for careers that don’t yet exist? One opportunity is to provide our students with opportunities to grow their skills in creative problem solving, critical thinking, resiliency, novel thinking, social intelligence, and excellent communication skills. Instructional designers and faculty can leverage the framework of digital fluency to create opportunities for learners to practice and hone the skills that will prepare them to be 21st-century digital citizens. In this session, join a discussion about several fluencies that comprise the overarching framework for digital fluency and help to define some of your own.
Dr. Jennifer Sparrow, Senior Director for Teaching and Learning with Technology and Affiliate Assistant Professor of Learning, Design, and Technology at Penn State. The webinar will take place on Friday, November 9th at 11am EST/4pm UTC (login details below)
how DF is different from DLiteracy? enable students define how new knowledge can be created through technology. Not only read and write, but create poems, stories, if analogous w learning a language. slide 4 in https://www.slideshare.net/aidemoreto/vr-library
communication fluency. be able to choose the correct media. curiosity/failure fluency; creation fluency (makerspace: create without soldering, programming, 3Dprinting. PLA filament-corn-based plastic; Makers-in-residence)
immersive fluency: video 360, VR and AR. enable student to create new knowledge through environments beyond reality. Immersive Experiences Lab (IMEX). Design: physical vs virtual spaces.
Data fluency: b.book. how to create my own textbook
rubrics and sample projects to assess digital fluency.
What is Instructional Design 2.0 or 3.0? deep knowledge and understanding of faculty development. second, once faculty understands the new technology, how does this translate into rework of curriculum? third, the research piece; how to improve to be ready for the next cycle. a partnership between ID and faculty.
Digital transformation (DX) is having a profound impact across all industries, but what does it mean for higher education? Join members of the EDUCAUSE Digital Transformation Task Force as they describe their efforts to understand what DX means for higher education and why institutions should be planning for change now.
Outcomes
Explore how DX will impact higher education culture, workforce, and technology
Understand the importance of planning for digital transformation now
Learn about plans under way at EDUCAUSE to help institutions move forward with digital transformation initiative
Far too often, cybersecurity awareness-raising training fails to account for how people learn and proven ways to change behaviors. The cybersecurity community too easily falls into the trap of thinking that “humans are the weakest link.” In this talk, Dr. Jessica Barker will argue that, if humans are the weakest link, then they are our weakest link as an industry. With reference to sociology, psychology, and behavioral economics, as well as lessons from her professional experience, Jessica will discuss why a better understanding of human nature needs to be a greater priority for the cybersecurity community.
Outcomes: Explore how we can apply knowledge from other disciplines to improve cybersecurity awareness-raising training and communications * Understand where the cybersecurity industry can improve with regards to awareness, behavior, and culture * Develop ideas to improve how you communicate cybersecurity messages and conduct awareness-raising training
Cross-Institution & Cross-Sector Collaboration Long-Term Trend: Driving Ed Tech adoption in higher education for five or more years
Although a variety of collaborations between higher education and industry have emerged, more-explicit frameworks and guidelines are needed to define how these partnerships should proceed to have the greatest impact.
Proliferation of Open Educational Resources Mid-Term Trend: Driving Ed Tech adoption in higher education for the next three to five years
The United States lags on the policy front. In September 2017, the Affordable College Textbook Act was once again introduced in both the US House of Representatives and the Senate “to expand the use of open textbooks
It is unlikely that ACTA will pass, however, as it has been unsuccessfully introduced to two previous Congresses.
The Rise of New Forms of Interdisciplinary Studies
Faculty members, administrators, and instructional designers are creating innovative pathways to college completion through interdisciplinary experiences, nanodegrees, and other alternative credentials, such as digital badges. Researchers, along with academic technologists and developers, are breaking new ground with data structures, visualizations, geospatial applications, and innovative uses of opensource tools.
Growing Focus on Measuring Learning
As societal and economic factors redefine the skills needed in today’s workforce, colleges and universities must rethink how to define, measure, and demonstrate subject mastery and soft skills such as creativity and collaboration. The proliferation of data-mining software and developments in online education, mobile learning, and learning management systems are coalescing toward learning environments that leverage analytics and visualization software to portray learning data in a multidimensional and portable manner
Redesigning Learning Spaces
upgrading wireless bandwidth and installing large displays that allow for more natural collaboration on digital projects. Some are exploring how mixed-reality technologies can blend 3D holographic content into physical spaces for simulations, such as experiencing Mars by controlling rover vehicles, or how they can enable multifaceted interaction with objects, such as exploring the human body in anatomy labs through detailed visuals. As higher education continues to move away from traditional, lecture-based lessons toward more hands-on activities, classrooms are starting to resemble real-world work and social environments
Authentic Learning Experiences
An increasing number of institutions have begun bridging the gap between academic knowledge and concrete applications by establishing relationships with the broader community; through active partnerships with local organizations
Improving Digital Literacy Solvable Challenge: Those that we understand and know how to solve
Digital literacy transcends gaining discrete technological skills to generating a deeper understanding of the digital environment, enabling intuitive and discerning adaptation to new contexts and cocreation of content.107 Institutions are charged with developing students’ digital citizenship, promoting the responsible and appropriate use of technology, including online communication etiquette and digital rights and responsibilities in blended and online learning settings. This expanded concept of digital competence is influencing curriculum design, professional development, and student-facing services and resources. Due to the multitude of elements of digital literacy, higher education leaders must obtain institution-wide buy-in and provide support for all stakeholders in developing these competencies.
Despite its growing importance, it remains a complex topic that can be challenging to pin down. Vanderbilt University established an ad hoc group of faculty, administrators, and staff that created a working definition of digital literacy on campus and produced a white paper recommending how to implement digital literacy to advance the university’s mission: https://vanderbilt.edu/ed-tech/committees/digital-literacy-committee.php
Adapting Organizational Designs to the Future of Work
Technology, shifting information demands, and evolving faculty roles are forcing institutions to rethink the traditional functional hierarchy. Institutions must adopt more flexible, teambased, matrixed structures to remain innovative and responsive to campus and stakeholder needs.
Attempts to avoid bureaucracy also align with a streamlined workforce and cost elimination. Emphasis has been placed on designing better business models through a stronger focus on return on investment. This involves taking a strategic approach that connects financial practice (such as analyzing cost metrics and resource allocation) with institutional change models and goals.124
Faculty roles have been and continue to be impacted by organizational change, as well as by broader economic movements. Reflective of today’s “gig economy,” twothirds of faculty members are now non-tenure, with half working part-time, often in teaching roles at several institutions. This stands as a stark contrast to 1969, when almost 80 percent of faculty were tenured or tenuretrack; today’s figures are nearly inverted. Their wages are applying pressure to traditional organizational structures.Rethinking tenure programs represents another change to organizational designs that aligns with the future of work.
Organizational structures are continuing to evolve on the administrative side as well. With an emphasis on supporting student success, many institutions are rethinking their student services, which include financial aid, academic advising, and work-study programs. Much of this change is happening within the context of digital transformation, an umbrella term that denotes the transformation of an organization’s core business to better meet customer needs by leveraging technology and data.
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added Nov 13, 2018
6 growing trends taking over academic libraries
BY MERIS STANSBURY
March 24th, 2017
Horizon Report details short-and long-term technologies, trends that will impact academic libraries worldwide in the next 5 years.
Research Data Management: The growing availability of research reports through online library databases is making it easier for students, faculty, and researchers to access and build upon existing ideas and work. “Archiving the observations that lead to new ideas has become a critical part of disseminating reports,” says the report.
Valuing the User Experience: Librarians are now favoring more user-centric approaches, leveraging data on patron touchpoints to identify needs and develop high-quality engaging experiences.
(Mid-Term, 3-5 years):
Patrons as Creators: Students, faculty, and researchers across disciplines are learning by making and creating rather than by simply consuming content. Creativity, as illustrated by the growth of user-generated videos, maker communities, and crowdfunded projects in the past few years, is increasingly the means for active, hands-on learning. People now look to libraries to assist them and provide tools for skill-building and making.
Rethinking Library Spaces: At a time when discovery can happen anywhere, students are relying less on libraries as the sole source for accessing information and more for finding a place to be productive. As a result, institutional leaders are starting to reflect on how the design of library spaces can better facilitate the face-to-face interactions.
(Long-Term, 5 or more years):
Cross-Institution Collaboration: Within the current climate of shrinking budgets and increased focus on digital collections, collaborations enable libraries to improve access to scholarly materials and engage in mission-driven cooperative projects.
Evolving Nature of the Scholarly Record: Once limited to print-based journals and monographic series, scholarly communications now reside in networked environments and can be accessed through an expansive array of publishing platforms. “As different kinds of scholarly communication are becoming more prevalent on the web, librarians are expected to discern the legitimacy of these innovative approaches and their impact in the greater research community through emerging altmetrics tools,” notes the report.
Improving digital literacy: According to the report, digital literacy transcends gaining isolated technological skills to “generate a deeper understanding of the digital environment, enabling intuitive adaptation to new contexts, co-creation of content with others, and an awareness of both the freedom and risks that digital interactions entail. Libraries are positioned to lead efforts to develop students’ digital citizenship, ensuring mastery of responsible and appropriate technology use, including online identity, communication etiquette, and rights and responsibilities.”
Learn about iGen’s beliefs, preferences, and behaviors
Connect these behaviors to program needs, marketing challenges, technology and workforce implications, and other factors
The iGeneration—the part of Generation Z that is high school or college age—has been estimated at 42 million strong. Due to recent events and the influence of families and social networks, this segment is finding its voice and power much quicker than its predecessors, the Millennials.
Speakers
Jim Fong Chief Research Officer, University Professional and Continuing Education Association (UPCEA)
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more on Gen Z in this IMS blog https://blog.stcloudstate.edu/ims?s=gen+z
The key campus tech issues are no longer about IT (in the past e.g.: MS versus Apple). IT is the “easy part” of technology on campus. The challenges: people, planning policy, programs, priorities, silos, egos, and IT entitlements
How do we make Digital Learning compelling and safe for the faculty? provide evidence of impact, support, recognition and reward for faculty; communicate about effectiveness of and need for IT resources.
technology is not capital cost, it is operational cost. reoccurring.
Visualization:
underlying issues; can i do this? why should i do this? evidence of benefit?
the more things change, the more things stay the same. new equilibrium.
change: from what did you do wrong to how do we do better. Use data as a resources, not as a weapon. there is a fear of trying, because there is no recognition or reward
Machiavelli: 1. concentrate your efforts 2. pick your issues carefully, know when to fight 3. know the history 4. build coalitions 5. set modest goals – and realistic 6. leverage the value of data (use it as resource not weapon) 7. anticipate personnel turnover 8. set deadlines for decisions
Colleagues,
We apologize for the short notice, but wanted to make you aware of the following opportunity: provide
From Ken Graetz at Winona State University:
As part of our Digital Faculty Fellows Program at WSU, Dr. Kenneth C. Green will be speaking this Thursday, March 22nd in Stark 103 Miller Auditorium from 11:30 to 12:30 on “Innovation, Infrastructure, and Digital Learning.” We will be streaming Casey’s talk using Skype Meeting Broadcast and you can join as a guest using the following link: Join the presentation. This will allow you to see and hear his presentation, as well as post moderated questions. By way of a teaser, here is a recent quote from Dr. Green’s blog, DigitalTweed, published by Inside Higher Ed:
“If trustees, presidents, provosts, deans, and department chairs really want to address the fear of trying and foster innovation in instruction, then they have to recognize that infrastructure fosters innovation. And infrastructure, in the context of technology and instruction, involves more than just computer hardware, software, digital projectors in classrooms, learning management systems, and campus web sites. The technology is actually the easy part. The real challenges involve a commitment to research about the impact of innovation in instruction, and recognition and reward for those faculty who would like to pursue innovation in their instructional activities.”
Dr. Green is the founding director of The Campus Computing Project, the largest continuing study of the role of digital learning and information technology in American colleges and universities. Campus Computing is widely cited as a definitive source for data, information, and insight about IT planning and policy issues affecting higher education. Dr. Green also serves as the director, moderator, and co-producer of TO A DEGREE, the postsecondary success podcast of the Bill & Melinda Gates Foundation. He is the author or editor of some 20 books and published research reports and more than 100 articles and commentaries that have appeared in academic journals and professional publications. In 2002, Dr. Green received the first EDUCAUSE Award for Leadership in Public Policy and Practice. The EDUCAUSE award cites his work in creating The Campus Computing Project and recognizes his, “prominence in the arena of national and international technology agendas, and the linking of higher education to those agendas.”
Media literacy. Differentiated instruction. Media literacy guide.
Fake news as part of media literacy. Visual literacy as part of media literacy. Media literacy as part of digital citizenship.
Web design / web development
the roles of HTML5, CSS, Java Script, PHP, Bootstrap, JQuery, React and other scripting languages and libraries. Heat maps and other usability issues; website content strategy. THE MODEL-VIEW-CONTROLLER (MVC) design pattern
Social media for institutional use. Digital Curation. Social Media algorithms. Etiquette Ethics. Mastodon
I hosted a LITA webinar in the fall of 2016 (four weeks); I can accommodate any information from that webinar for the use of the IM students
OER and instructional designer’s assistance to book creators.
I can cover both the “library part” (“free” OER, copyright issues etc) and the support / creative part of an OER book / textbook
“Big Data.” Data visualization. Large scale visualization. Text encoding. Analytics, Data mining. Unizin. Python, R in academia.
I can introduce the students to the large idea of Big Data and its importance in lieu of the upcoming IoT, but also departmentalize its importance for academia, business, etc. From infographics to heavy duty visualization (Primo X-Services API. JSON, Flask).
NetNeutrality, Digital Darwinism, Internet economy and the role of your professional in such environment
I can introduce students to the issues, if not familiar and / or lead a discussion on a rather controversial topic
Digital assessment. Digital Assessment literacy.
I can introduce students to tools, how to evaluate and select tools and their pedagogical implications
Wikipedia
a hands-on exercise on working with Wikipedia. After the session, students will be able to create Wikipedia entries thus knowing intimately the process of Wikipedia and its information.
Effective presentations. Tools, methods, concepts and theories (cognitive load). Presentations in the era of VR, AR and mixed reality. Unity.
I can facilitate a discussion among experts (your students) on selection of tools and their didactically sound use to convey information. I can supplement the discussion with my own findings and conclusions.
eConferencing. Tools and methods
I can facilitate a discussion among your students on selection of tools and comparison. Discussion about the their future and their place in an increasing online learning environment
Digital Storytelling. Immersive Storytelling. The Moth. Twine. Transmedia Storytelling
I am teaching a LIB 490/590 Digital Storytelling class. I can adapt any information from that class to the use of IM students
VR, AR, Mixed Reality.
besides Mark Gill, I can facilitate a discussion, which goes beyond hardware and brands, but expand on the implications for academia and corporate education / world
Instructional design. ID2ID
I can facilitate a discussion based on the Educause suggestions about the profession’s development
Microcredentialing in academia and corporate world. Blockchain
IT in K12. How to evaluate; prioritize; select. obsolete trends in 21 century schools. K12 mobile learning
Podcasting: past, present, future. Beautiful Audio Editor.
a definition of podcasting and delineation of similar activities; advantages and disadvantages.
Gender, race and age in education. Digital divide. Xennials, Millennials and Gen Z. generational approach to teaching and learning. Young vs old Millennials. Millennial employees.
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.
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
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.
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
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
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ELI Online Event | July 12, 2017 | Noon–4:00 p.m. (ET)
One in five colleges have issued digital badges, according to a recent survey.* Today, all kinds of organizations, from higher education institutions to professional associations to employers, are issuing digital microcredentials. Are you?
Join us for an introductory webinar, “Alternative Credentialing in Higher Education,” on July 10. Both events are free and open to all EDUCAUSE members (available to purchase for nonmembers).
purpose: draft a document for the provost to plan for charting the future goal 3.12 “develop a comprehensive strategy to increase awareness and development of e-textbooks and open educational resources (OERs)”
\\STCLOUDSTATE\HuskyNet\DeptFiles\LRS\ETextbooks
SCSU goal: to reduce the cost of textbooks as an affordable learning initiative. Amount of reduction is undetermined
According to Bossaler et al (2014), it might be worth considering that SCSU (MnSCU?) must go first through implementing of e-text[books] in courses first by using publisher materials and then by using “in-house” produce. At this point, SCSU does NOT have an aligned policy of integrating e-texts in courses across campus. Lack of such experience might make a strategy for adoption of e-textbooks much more complex and difficult to implement
stats are colored in green for convenience. Stats regarding the increase in textbook costs are re-printed from author to author: e.g. Acker (2011, p. 42). Murey and Perez (2011, p. 49 (bottom) – 50 (up)) reports stats from 2009 and projections for 2013 regarding etexbook adotion. Same authors, p. 50 second paragraph reports good stats regarding texbooks’ price increase : US$1122 per year for textbooks in 2010.
Wimmer at al (2014) presents a lucid graphic of the structure of the publishing process (see bottom of this blog entry for citation and perm link).
Wimmer at al (2014) discusses copyright and permissions, which is of interest for this research (p. 85)
regarding in-house creation of e-textbooks, see (Distance education, e-learning, education and training, 2015). It very much follow the example of SUNY, which Keith was laying out: a team of faculty charged with creation the e-textbook for mass consumption.
Besides the SUNY model Keith is envisioning for MnSCU (comparable), there is the option of clustering OER sources: e.g. NASTA as per Horejsi (2013), CourseSmart. FlatWorld Knowledge (Murrey and Perez, 2011) etc.
Hamedi & Ezaleila (2015) present an entire etextbook program. Article has been ordered through ILL. Same with Joseph (2015).
Open Educational Resources in Acker (2015, p. 44-47). Also in Murey and Perez (2011, p. 51).
Also in ICWL (Conference) (13th : 2014 : Tallinn, E., & Cao, Y. (2014): OpenDSA
Different models of pricing also in Acker (2015, p. 48). Keith touched on that
students learn equally well from etextbooks as from paper ones: Taylor (2011)
my note: there is no good definition about e-textbook in terms of the complexity, which e-textbook on campus might involve.
Considering Wimmer et al (2014) account on their campus experience in publishing e-textbook, a textbook may involve an LMS (Canvas) and blog (WordPress). Per my proposal during the F2F meeting, and following Rachel’s suggestion about discrimination of the different types of e-textbooks, here is an outline of e-textbook definition:
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working definition for e-textbook for the purposes of SCSU:
e-textbook is a compilation of textual, multimedia and interactive material, which can be viewed on various electronic devices. E-textbook can: 1. be purchased from a publisher; 2. compiled in HTML format on faculty or group web space; 3. compiled on the content module of LMS (BB, D2L, Canvas, Moodle, etc.) 4. compiled on LMS (BB, D2L, Canvas, Moodle, etc.) and including all interactive materials: e.g. hyperlinks to MediaSpace multimedia, quizzes, etc.; 5. compiled on special apps, such as iBook Author, eCub, Sigil.
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e-book
(Electronic-BOOK) The electronic counterpart of a printed book, which can be viewed on a desktop computer, laptop, smartphone, tablet or e-book reader (e-reader). When traveling, a huge number of e-books can be stored in portable units, dramatically eliminating weight and volume compared to paper. Electronic bookmarks make referencing easier, and e-book readers may allow the user to annotate pages.
Although fiction and non-fiction books come in e-book formats, technical material is especially suited for e-book delivery because it can be searched. In addition, programming code examples can be copied, which is why CD-ROMs that contained examples or the entire text were often packaged inside technical paper books.
E-Book Formats
Wimmer, Morrow, & Weber: Collaboration in eTextbook Publishing
There are several e-book formats on the market, including EPUB, Mobipocket (PRC, MOBI), eReader (PDB), Kindle (AZW, KF8) and Apple iBook (EPUB variation). Many e-readers also accept generic formats, including Adobe PDF and plain text (TXT).
According to a United States Government report, textbook prices have increased at over twice the rate of inflation in the last couple of decades. According to another report, the average student spends between $700 and $1,000 per year on textbooks while the cost of e-textbooks can be as much as 50% lower than paper textbooks.
Oxford dictionary, an electronic book or e-book is “an electronic version of a printed book that can be read on a computer or handheld device designed specifically for this purpose.” An e-textbook is defined as an e-book used for instructional or educational purposes and often includes features such as bookmarking, searching, highlighting, and note-taking as well as built-in dictionaries and pronunciation guides, embedded video-clips, embedded hyperlinks, and animated graphics.
E-textbooks have moved from occasional usage to a mainstream technology on college campuses. According to the Association of American Publishers, sales of e-books hit over $90 million; this is up over 200% when compared to the same month the previous year. When the cost of textbooks and the availability of formats are considered, the use of an e-textbook in the classroom may be the reasonable choice.
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A digital textbook is a digital book or e-book intended to serve as the text for a class. Digital textbooks may also be known as e-textbooks or e-texts. Digital textbooks are a major component of technology-based education reform. They may serve as the texts for a traditional face-to-face class, an online course or degree.
The concepts of open access and open source support the idea of open textbooks, digital textbooks that are free (gratis) and easy to distribute, modify and update https://en.wikipedia.org/wiki/Digital_textbook
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Exploring Students’ E-Textbook Practices in Higher Education
Authors: by Aimee Denoyelles, John Raible and Ryan Seilhamer Published: Monday, July 6, 2015. Instructional Designers, University of Central Florida
According to the United States Government Accountability Office, prices have increased 82 percent from 2002 to 2012.3This cost sometimes drives students to delay or avoid purchasing textbooks. Digital materials such as e-textbooks may offer a more cost-effective alternative.4 Also, the expectation for digital materials is gaining strength in the K–12 sector.5 For example, Florida school districts set a goal to spend at least half of classroom material funding on digital materials by the 2015–2016 school year. Given that 81 percent of first-time-in-college (FTIC) undergraduate students hailed from a Florida public high school during the fall 2014 semester at the University of Central Florida (UCF), it is important to anticipate student expectations of digital materials. Finally, the availability of digital materials has risen exponentially with the incredible popularity of mobile devices.
Key Issues
Despite the advantages that e-textbooks pose, such as interactive features and accessibility on mobile devices, several barriers exist regarding implementation in higher education, namely non-standardization of the platform, limited use by students, and the unclear role of the instructor in adoption.
a survey questionnaire in 2012 that explored basic usage and attitudes regarding e-textbooks.
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Bossaller, J., & Kammer, J. (2014). Faculty Views on eTextbooks: A Narrative Study. College Teaching, 62(2), 68-75. doi:10.1080/87567555.2014.885877
This qualitative study gives insight into the experiences instructors have when working with publishers to integrate electronic content and technology into their courses.
Baek, E., & Monaghan, J. (2013). Journey to Textbook Affordability: An Investigation of Students’ Use of eTextbooks at Multiple Campuses. International Review Of Research In Open And Distance Learning, 14(3), 1-26.
the Advisory Committee on Student Financial Assistance (2007) reported that textbook prices represent a significant barrier to students’ accessibility to textbooks. The report concluded that textbooks cost between $700-$1000 per year; textbook prices have risen much faster than other commodities; and that college aid fails to cover textbook expenses. Textbook costs are equivalent to 26% of tuition costs for an average four-year public university student and 72% of tuition costs for an average community college student. In fact, the California State Auditor (2008) reported that textbook costs grew more rapidly than student fees in academic year 2007–08.
the creation of an interactive e-book called “Practical Clinical Chemistry: core concepts” was accomplished using the
Apple Macintosh platform and the iBooks Author software. Digital content, including videos, was developed for the
project and embedded within the final package. In order to limit the size of the final files, some content was uploaded
onto Youtube so that the user could access these via the internet.
The e-book, 200MB in size, was uploaded onto the Apple ITunes site and made available in 51 countries via the
iBooks store. This prototype is the first interactive digital textbook available in clinical chemistry and contains “4-
dimensional” content including digital images, videos, interactive presentations, real-time data generation as well as
review questions with instant feedback and assessment.
Hamedi, M., & Ezaleila, S. (2015). Digital Textbook Program in Malaysia: Lessons from South Korea. Publishing Research Quarterly, 31(4), 244-257. doi:10.1007/s12109-015-9425-4
Joseph, R. (2015). Higher Education Book Publishing-from Print to Digital: A Review of the Literature. Publishing Research Quarterly, 31(4), 264-274. doi:10.1007/s12109-015-9429-0
Taylor, A. K. (2011). Students Learn Equally Well From Digital as From Paperbound Texts. Teaching Of Psychology, 38(4), 278-281. doi:10.1177/0098628311421330
Much of the research related to digital texts has focused ontechnical aspects of readability (see Dillon, 1992, for a review) and limitations of digital media for note-taking, underlining, or highlighting text (Brown, 2001). However, the important—and unanswered—question from a teaching perspective is, ‘‘Can students learn as well from digital texts as from paperbound textbooks?’’ Few published studies have addressed this ques-tion directly, and even fewer studies have examined this ques-tion among college students.
Murray, M. C., & Pérez, J. (2011). E-Textbooks Are Coming: Are We Ready?. Issues In Informing Science & Information Technology, 849-60.
Pilot projects that can help build institutional expertise
Address how and where insights gained from pilot projects will be collected and
made available
People resources (e.g., instructional designers) that will be needed to assist
instructors to use this technology
ICWL (Conference) (13th : 2014 : Tallinn, E., & Cao, Y. (2014). New horizons in web based learning: ICWL 2014 international workshops, SPeL, PRASAE, IWMPL, OBIE, and KMEL, FET, Tallinn, Estonia, August 14-17, 2014, revised selected papers. Cham: Springer.
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MnSCU will by as Content Authoring Tool – SoftChalk. Here is a promo from Softchalk (my bold):
NEW SoftChalk Create 10 and SoftChalk Cloud eBook publishing features will arrive on April 25th! Come check out the latest enhancements at our upcoming webinars!
Sleek Designer Headers and Callout Boxes – Add some new pizazz to your SoftChalk lessons!
Three New Quiz Types – Test your students’ understanding with Sentence Completion, Multiple Blanks and Feedback Questions.
Polished New QuizPopper and Activity displays – With an enhanced interface for instructors and students.
Accessibility enhancements – Make your lessons available to everyone with even more accessibility enhancements.
NEW SoftChalk Cloud eBook creation and publishing – Includes a totally re-vamped, easier eBook creation and management. New SoftChalk eReader apps available for free download in the iOS, Android, Chromebook and Windows app stores. (Cloud Only)
are any faculty really going digital? Which content distributors will thrive? What are the implementation concerns? And when will going digital really happen?
Jim Fong Chief Research Officer, University Professional and Continuing Education Association (UPCEA)
