a study, the “Why We Post” project, has just been published by nine anthropologists, led by Daniel Miller of University College, London. worked independently for 15 months at locations in Brazil, Britain, Chile, China (one rural and one industrial site), India, Italy, Trinidad and Tobago, and Turkey.
In rural China and Turkey social media were viewed as a distraction from education. But in industrial China and Brazil they were seen to be an educational resource. Such a divide was evident in India, too. There, high-income families regarded them with suspicion but low-income families advocated them as a supplementary source of schooling. In Britain, meanwhile, they were valued not directly as a means of education, but as a way for pupils, parents and teachers to communicate.
How would you answer if addressed by this study? How do you see social media? Do you see it differently then before?
On a recent visit in 2015, I found the social media landscape dramatically changed, again. Facebook began actively steering reading practices through changes in 2013 to the News Feed algorithm, which determines content in the site’s central feature. That year, Facebook announced an effort to prioritize “high quality content,” defined as timely, relevant, and trustworthy—and not clickbait, memes, or other viral links. This policy, along with changing practices in sharing news content generally, meant that current events can unfold on and through social media.
how much of your news do you acquire through social media? do you trust the information you acquire through social media? #FakeNews – have explored this hashtag? What is your take on fake news?
meaning management :
Anthropologists and the culturally sensitive analysts take complex bits of data and develop a higher-order sense of them. Information and meaning work at cross purposes. In managing meaning, context is everything while in managing information context is error and noise. When we give our social listening projects to information specialists, we lose an appreciation of context and with it the ability to extract the meanings that provide insight for our companies and brands.
Meaning management also involves a deeper appreciation of social listening as a component of a broader meaning-making system, rather than as, simply, a data source to be exploited.
How do you perceive meaning management? Do you see yourself being a professional with the ability to collect, analyze and interpret such data for your company?
Mining social media has its potential to extract actionable patterns that can be beneficial for business, users, and consumers. Opinion mining from social media can be a faster and less expensive alternative to traditional survey and polling, on which many sustainability researches are based.
Crowd Capital Theory.
ex-post facto design
my opinion: format-wise – poorly written. No proofreading by the authors, but also by the peer-previewers.
Academic English does not recognize “get” and “put.” Sometimes, the ideas are not presented clearly. In-text citations need work: e.g. p. 946 “Andrews in 2012 said that may researchers indicate that the info…”; instead of “According to Andrews (2012), numerous researchers indicate the possibility of social network information to be used as a tool for spying.” Similarly, on page 947: ” (Saxton et al., 2012)” must be “Saxton et al., (2012)”
Verbs are missing: e.g. p. 946 “A case study on effect of social networking sites in emergency departments for patient care.”
p. 953 “in all these study” – adjective / subject disagreement.
content-wise, the article also presents ad-hod information, rather then clearly structured and delinted conclusions: e.g., on page p. 947, the authors announce as the goal of this study ” to investigate the role of “social networks” in creating a positive or negative impact on the social, behavioral and educational aspics of our community.”
None of the three links to the surveys are functional:e.g.,https://docs.google.com/forms/d/1yzVo2SL85iqr7CVRGDZ1bUGKzZPQOo4bBD42 CI9f9e8/viewform?c=0&w=1&usp=mail_form_link
Zhang, X., Chen, H., Pablos, P. O. de, Lytras, M. D., & Sun, Y. (2016). Coordinated Implicitly? An Empirical Study on the Role of Social Media in Collaborative Learning. The International Review of Research in Open and Distributed Learning, 17(6). https://doi.org/10.19173/irrodl.v17i6.2622
Vlachopoulos, D. (2016). Assuring Quality in E-Learning Course Design: The Roadmap. The International Review of Research in Open and Distributed Learning, 17(6). https://doi.org/10.19173/irrodl.v17i6.2784
Ungerer, L. M. (2016). Digital Curation as a Core Competency in Current Learning and Literacy: A Higher Education Perspective. The International Review of Research in Open and Distributed Learning, 17(5). https://doi.org/10.19173/irrodl.v17i5.2566
metaliteracy
Technology considerably impacts on current literacy requirements (Reinking, as cited in Sharma & Deschaine, 2016). Being literate in the 21st century requires being able to decode and comprehend multimodal texts and digital format and also engage with these texts in a purposeful manner. Literacy is not merely based on a specific skill, but consists of a process that embraces the dynamic, social, and collaborative facets of digital technology (Lewis & Fabos, as cited in Mills, 2013).
Mackey and Jacobson (2011) suggest reframing the concept of information literacy as metaliteracy (supporting multiple literacy types) because of a tremendous growth in social media and collaborative online communities. They propose that information literacy currently involves more than a set of discrete skills, since active knowledge production and distribution in collaborative online communities are also necessary.
Mackey and Jacobson (2011) position metaliteracy as an overarching and comprehensive framework that informs other literacy types. It serves as the basis for media literacy, digital literacy, ICT literacy, and visual literacy.
According to Mills (2013, p. 47), digital curation is the sifting and aggregation of internet and other digital resources into a manageable collection of what teachers and students find relevant, personalized and dynamic. It incorporates the vibrancy of components of the Internet and provides a repository that is easily accessible and usable.
Pedagogies of Abundance
According to Weller (2011), a pedagogy of abundance should consider a number of assumptions such as that content often is freely available and abundant. Content further takes on various forms and it is often easy and inexpensive to share information. Content is socially based and since people filter and share content, a social approach to learning is advisable. Further, establishing and preserving connections in a network is easy and they do not have to be maintained on a one-to-one basis. Successful informal groupings occur frequently, reducing the need to formally manage groups.
Resource-based learning. Ryan (as cited in Weller, 2011) defines resource-based learning as “an integrated set of strategies to promote student centred learning in a mass education context, through a combination of specially designed learning resources and interactive media and technologies.”
Problem-based learning. Problem-based learning takes place when learners experience the process of working toward resolving a problem encountered early in the learning process (Barrows & Tamblyn, as cited in Weller, 2011). Students often collaborate in small groups to identify solutions to ill-defined problems, while the teacher acts as facilitator and assists groups if they need help. Problem-based learning meets a number of important requirements such as being learner-directed, using diverse resources and taking an open-ended approach.
Communities of practice. Lave and Wenger’s (as cited in Weller, 2011) concept of situated learning and Wenger’s (as cited in Weller, 2011) idea of communities of practice highlight the importance of apprenticeship and the social role in learning.
My note: this article spells out what needs to be done and how. it is just flabeghasting that research guides are employed so religiously by librarians. They are exactly the opposite concept of the one presented in this article: they are closed, controlled by one or several librarians, without a constant and easy access of the instructor, not to mention the students’ participation
In scholarly and scientific publishing, altmetrics are non-traditional metrics[2] proposed as an alternative[3] to more traditional citation impact metrics, such as impact factor and h-index.[4] The term altmetrics was proposed in 2010,[1] as a generalization of article level metrics,[5] and has its roots in the #altmetrics hashtag. Although altmetrics are often thought of as metrics about articles, they can be applied to people, journals, books, data sets, presentations, videos, source code repositories, web pages, etc. They are related to Webometrics, which had similar goals but evolved before the social web. Altmetrics did not originally cover citation counts.[6] It also covers other aspects of the impact of a work, such as how many data and knowledge bases refer to it, article views, downloads, or mentions in social media and news media.[7][8]
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more on analytics and metrics in education in this IMS blog
Beyond social media, there is also a clear disconnect between how college admins reach out to their students and what students actually pay attention to. While the average college admin, like most adults, is used to reading and sending emails, students are quickly moving away from using email in their daily lives and getting them to check it regularly is painful.
A fantastic New York Times article in the fall examined college student use of technology and the results were fascinating.
While some faculty members are hesitant to contact students on whichever social media platform is in vogue, others have explored texting as an alternative to email.
The paper, which is being presented at next month’s Information and Telecommunications Education and Research Association conference, also recommends colleges should consider using texting and social media platforms to reach students. However, the findings still suggest email can be an effective method of communication.
How Millennials use and control social media, Published
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Social Media Usage Trends Among Higher Education Faculty ;
Global Leadership Week (GLW) is a week-long celebration of leadership through global action in K-20 education, taking place April 25 – 29, 2016, and organized by the Global Education Conference (GEC) Network. GLW is an opportunity for global education leaders (and those who want to be!) to learn from one another and share effective principles in leadership, particularly within the context of an interconnected, global age.
During Global Leadership Week, leaders in schools, universities, non-profit organizations, and corporations have designed and will be hosting over 25 virtual events to showcase thought leadership. The global education community at large can choose to participate in these online activities by browsing event listings on the GLW calendar. All events are free of charge to attend.
You can participate actively in these events by posting comments and ideas to Twitter using the hashtag #globaled16. Global Leadership Week discussions are also being hosted in a new Edmodo feature called Topics. You’ll need a free Edmodo account to participate and we encourage you to respond to the prompts on this page: https://www.edmodo.com/topics/609/2016-Global-Leadership-Week. Also, feel free to add yourself to the participant map.
AND it’s still not too late to design and host a virtual event focused on global education leadership next week. We will post your event on our website’s calendar. If your organization is a sponsor or a non-profit, we will promote your event through social media. Submit to host an event here. And while time is short, if your organization can reach several thousand educators, consider joining us as an outreach partner. Email Lucy Gray at lucy@globaledevents.com. Include a short description of how you can help get the word out to your network and a logo for your organization.
This event is brought to you by people and organizations who believe in the power of globally connected teaching and learning. GLW is organized by the Global Education Conference Network, Flat Connections, GlobalEdLeader, Global Oneness Project, iEARN-USA, the Learning Revolution Project, and VIF International Education.
ACRL e-Learning webcast series: Learning Analytics – Strategies for Optimizing Student Data on Your Campus
This three-part webinar series, co-sponsored by the ACRL Value of Academic Libraries Committee, the Student Learning and Information Committee, and the ACRL Instruction Section, will explore the advantages and opportunities of learning analytics as a tool which uses student data to demonstrate library impact and to identify learning weaknesses. How can librarians initiate learning analytics initiatives on their campuses and contribute to existing collaborations? The first webinar will provide an introduction to learning analytics and an overview of important issues. The second will focus on privacy issues and other ethical considerations as well as responsible practice, and the third will include a panel of librarians who are successfully using learning analytics on their campuses.
Webcast One: Learning Analytics and the Academic Library: The State of the Art and the Art of Connecting the Library with Campus Initiatives
March 29, 2016
Learning analytics are used nationwide to augment student success initiatives as well as bolster other institutional priorities. As a key aspect of educational reform and institutional improvement, learning analytics are essential to defining the value of higher education, and academic librarians can be both of great service to and well served by institutional learning analytics teams. In addition, librarians who seek to demonstrate, articulate, and grow the value of academic libraries should become more aware of how they can dovetail their efforts with institutional learning analytics projects. However, all too often, academic librarians are not asked to be part of initial learning analytics teams on their campuses, despite the benefits of library inclusion in these efforts. Librarians can counteract this trend by being conversant in learning analytics goals, advantages/disadvantages, and challenges as well as aware of existing examples of library successes in learning analytics projects.
Learn about the state of the art in learning analytics in higher education with an emphasis on 1) current models, 2) best practices, 3) ethics, privacy, and other difficult issues. The webcast will also focus on current academic library projects and successes in gaining access to and inclusion in learning analytics initiatives on their campus. Benefit from the inclusion of a “short list” of must-read resources as well as a clearly defined list of ways in which librarians can leverage their skills to be both contributing members of learning analytics teams, suitable for use in advocating on their campuses.
student’s opinion of this process
benefits: self-assessment, personal learning, empwerment
analytics and data privacy – students are OK with harvesting the data (only 6% not happy)
8 in 10 are interested in personal dashboard, which will help them perform
Big Mother vs Big Brother: creepy vs helpful. tracking classes, helpful, out of class (where on campus, social media etc) is creepy. 87% see that having access to their data is positive
librarians:
recognize metrics, assessment, analytics, data. visualization, data literacy, data science, interpretation
INSTRUCTION DEPARTMENT – N.B.
determine who is the key leader: director of institutional research, president, CIO
who does analyics services: institutional research, information technology, dedicated center
analytic maturity: data drivin, decision making culture; senior leadership commitment,; policy supporting (data ollection, accsess, use): data efficacy; investment and resourcefs; staffing; technical infrastrcture; information technology interaction
student success maturity: senior leader commited; fudning of student success efforts; mechanism for making student success decisions; interdepart collaboration; undrestanding of students success goals; advising and student support ability; policies; information systems
developing learning analytics strategy
understand institutional challenges; identify stakeholders; identify inhibitors/challenges; consider tools; scan the environment and see what other done; develop a plan; communicate the plan to stakeholders; start small and build
ways librarians can help
idenfify institu partners; be the partners; hone relevant learning analytics; participate in institutional analytics; identify questions and problems; access and work to improve institu culture; volunteer to be early adopters;
questions to ask: environmental scanning
do we have a learning analytics system? does our culture support? leaders present? stakeholders need to know?
questions to ask: Data
questions to ask: Library role
learning analytics & the academic library: the state of the art of connecting the library with campus initiatives
questions:
literature
7 Things You Should Know About First-Generation Learning Analytics. Published:
Barneveld, A., Arnold, K., & Campbell, J. (2012). Analytics in Higher Education: Establishing a Common Language. Educause Learning Initiative. Retrieved from http://net.educause.edu/ir/library/pdf/ELI3026.pdf
causation versus correlation studies. speakers claims that it is difficult to establish causation argument. institutions try to predict as accurately as possible via correlation, versus “if you do that it will happen what.”
My note: the US News and World Report is behind times on its reporting, unless this article has been held for a while by their editor: teenagers moved from Snapchat as quickly as they moved away from Facebook to Twitter and from Twitter to Snapchat. The generation, which is running US News and World Report is way too slow to notice the nomadic social media moves of the Millennials.
The cited case from Nebraska, Katelyn Gilroy, a library media specialist, who is using Snapchat or school purposes, can undoubtedly have a niche in education, enticing students to learn about their library, reading, etc.
However, it is questionable to present the media specialist’s case from Nebraska as a blank statement; a case, which can be adopted nationwide. Ms. Pannoni fails to mention that since 15 years ago, when instant messaging was the “snapchat” of the times, U.S. students consider these applications their “virtual mall,” where they like to hang out, but are not keen to consider them for educational purposes. In the same fashion, U.S. students are somehow unique in considering Facebook, later Twitter, then Snapchat and now Kik, Yammer, Celly, or Elgg a domain reserved for their private, extracurricular activities.
More about use of social media in education in this IMS blog:
bibliography on the impact of music on intellectual development.
Does music help learn better? get smarter? advance in life?
keywords: music, education, intelligence.
Misra, S., & Shastri, I. (2015). Pairing Linguistic and Music Intelligence. International Journal Of Multidisciplinary Approach & Studies, 2(5), 32-36.
Costa-Giomi, E. (2015). The Long-Term Effects of Childhood Music Instruction on Intelligence and General Cognitive Abilities. Update: Applications Of Research In Music Education, 33(2), 20-26.
Pelayo, J. M. G., & Galang, E. (2013). Social and Emotional Dynamics of College Students with Musical Intelligence and Musical Training: A Multiple Case Study. Retrieved from http://eric.ed.gov/?id=ED542664
Neves, V., Tarbet, V. (2007). Instrumental Music as Content Literacy Education: An Instructional Framework Based on the Continuous Improvement Process. Retrieved from http://eric.ed.gov/?id=ED499123
Conzelmann, K., & Süß, H. (2015). Auditory intelligence: Theoretical considerations and empirical findings. Learning And Individual Differences, 4027-40. doi:10.1016/j.lindif.2015.03.029
Juchniewicz, J. (2010). The Influence of Social Intelligence on Effective Music Teaching. Journal Of Research In Music Education, 58(3), 276-293.
Silvia, P. J., Thomas, K. S., Nusbaum, E. C., Beaty, R. E., & Hodges, D. A. (2016). How Does Music Training Predict Cognitive Abilities? A Bifactor Approach to Musical Expertise and Intelligence. Psychology Of Aesthetics, Creativity, And The Arts, doi:10.1037/aca0000058
Rickard, N. S., Bambrick, C. J., & Gill, A. (2012). Absence of Widespread Psychosocial and Cognitive Effects of School-Based Music Instruction in 10-13-Year-Old Students. International Journal Of Music Education, 30(1), 57-78.
Munsey, C. (2006). Music lessons may boost IQ and grades. American Psychological Association, 37(6), 13.
Schellenberg, E. G. (2011). Music lessons, emotional intelligence, and IQ. Music Perception, 29(2), 185-194. doi:10.1525/mp.2011.29.2.185
Kaviani, H., Mirbaha, H., Pournaseh, M., & Sagan, O. (2014). Can music lessons increase the performance of preschool children in IQ tests?. Cognitive Processing, 15(1), 77-84. doi:10.1007/s10339-013-0574-0
Degé, F., Kubicek, C., & Schwarzer, G. (2011). Music lessons and intelligence: A relation mediated by executive functions. Music Perception, 29(2), 195-201. doi:10.1525/mp.2011.29.2.195
Sharpe, N. N. (2014). The relationship between music instruction and academic achievement in mathematics. Dissertation Abstracts International Section A, 75.
keywords: music, education, multimedia.
Crappell, C., Jacklin, B., & Pratt, C. (2015). Using Multimedia To Enhance Lessons And Recitals. American Music Teacher, 64(6), 10-13.
le Roux, I., & Potgieter, H. M. (1998). A Multimedia Approach to Music Education in South Africa.
Ho, W.-C. (2007). Music Students’ Perception of the Use of Multi-Media Technology at the Graduate Level in Hong Kong Higher Education. Asia Pacific Education Review, 8(1), 12–26.
Ho, W. (. (2009). The role of multimedia technology in a Hong Kong higher education music program. Visions Of Research In Music Education, 1337.
Bolden, B. (2013). Learner-Created Podcasts: Students’ Stories with Music. Music Educators Journal, 100(1), 75-80.
Pao-Ta, Y., Yen-Shou, L., Hung-Hsu, T., & Yuan-Hou, C. (2010). Using a Multimodal Learning System to Support Music Instruction. Journal Of Educational Technology & Society, 13(3), 151-162.
