ABSTRACT
In just a short period of time, social media have altered many aspects of our daily lives, from how we form and maintain social relationships to how we discover, access and share information online. Now social media are also beginning to affect how we teach and learn in this increasingly interconnected and information-rich world. The panelists will discuss their ongoing work that seeks to understand the affordances and potential roles of social media in learning, as well as to determine and provide methods that can help researchers and educators evaluate the use of social media for teaching and learning based on automated analyses of social media texts and networks. The panel will focus on the first phase of this five-year research initiative "Learning Analytics for the Social Media Age" funded by the Social Science and Humanites Research Council of Canada (2013--2018).
- Cho, H., Gay, G., Davidson, B. and Ingraffea, A. 2007. Social Networks, Communication Styles, and Learning Performance in a CSCL Community. Computers and Education, 49, 2, 309--329. Google ScholarDigital Library
- Ebner, M., Lienhardt, C., Rohs, M., and Meyer, I. 2010. Microblogs in Higher Education -- A chance to facilitate informal and process-oriented learning? Computers and Education, 55, 1, 92--100. Google ScholarDigital Library
- Gruzd, A. 2009. Studying Collaborative Learning Using Name Networks. Journal of Education for Library and Information Science, 50, 4, 243--253.Google Scholar
- Gruzd, A. 2011. Exploring Virtual Communities with the Internet Community Text Analyzer (ICTA). In Ben Kei Daniel (Ed.), Handbook of Research on Methods and Techniques for Studying Virtual Communities: Paradigms and Phenomena. IGI Global, 205--223.Google Scholar
- Gruzd, A. and Sedo, D. R. 2012. #1b1t: Investigating Reading Practices at the Turn of the Twenty-first Century. Journal of Studies in Book Culture/Mémoires du Livre 3, 2.Google Scholar
- Gruzd, A., Wellman, B., and Takhteyev, Y. 2011. Imagining Twitter as an Imagined Community. American Behavioral Scientist, 55, 10, 1294--1318. http://abs.sagepub.com/content/early/2011/07/23/0002764211409378.abstractGoogle ScholarCross Ref
- Haythornthwaite, C. 1998. A Social Network Study of the Growth of Community among Distance Learners. Information Research, 4, 1, 4--1.Google Scholar
- Haythornthwaite, C. 1999. Collaborative Work Networks among Distributed Learners. Proceedings of the 32nd Hawaii International Conference on System Sciences. Los Alamitos, CA: IEEE Computer Society. Google ScholarDigital Library
- Haythornthwaite, C. 2001. Exploring Multiplexity: Social Network Structures in a Computer-Supported Distance Learning Class. The Information Society, 17, 3, 211--226.Google ScholarCross Ref
- Haythornthwaite, C. (forthcoming). Learning Networks. Encyclopedia of Social Networks and Data Mining. Springer.Google Scholar
- Haythornthwaite, C. and de Laat, M. 2011. Social Network Informed Design for Learning with Educational Technology. In A. D. Olofsson and J. O. Lindberg, (Eds.) Informed Design of Educational Technologies in Higher Education: Enhanced Learning and Teaching. IGI Global, 352--374.Google Scholar
- Haythornthwaite, C., de Laat, M. and Dawson, S. (Eds.) 2013. Learning Analytics. American Behavioral Scientist, whole issue.Google Scholar
- Junco, R., Elavsky, C. M., and Heiberger, G. 2012. Putting Twitter to the Test: Assessing Outcomes for Student Collaboration, Engagement and Success. British Journal of Educational Technology.Google Scholar
- Lange, D. D., Agneessens, F. and Waege, H. 2004. Asking Social Network Questions: A Quality Assessment of Different Measures. MetodološkiZvezki, 1, 2, 351--378.Google Scholar
- Moran, M., Seaman, J., and Tinti-Kane, H. 2010. Teaching, Learning and Sharing: How Today's Higher Education Faculty Use Social Media. Pearson Learning Solutions. Retrieved May 10, 2011 from http://www.pearsonlearningsolutions.com/educators/pearson-social-media-survey-2011-color.pdfGoogle Scholar
- Reyes, P. and Tchounikine, P. 2005. Mining Learning Groups' Activities in Forum-Type Tools. Proceedings of the 2005 Conference on Computer Support for Collaborative Learning: Learning 2005: the Next 10 Years! International Society of the Learning Sciences, 509--513. Google ScholarDigital Library
- Schroeder, A., Minocha, S., and Schneider, C. 2010. The Strengths, Weaknesses, Opportunities and Threats of Using Social Software in Higher and Further Education Teaching and Learning. Journal of Computer Assisted Learning, 26, 3, 159--174.Google ScholarCross Ref
- Siemens, G. 2010. What are Learning Analytics? Retrieved October 6, 2012 from http://www.elearnspace.org/blog/2010/08/25/what-are-learning-analytics/Google Scholar
Index Terms
- Learning analytics for the social media age
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