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Learning Analytics presentation
Transcript of Learning Analytics presentation
In higher education has centered on identifying students who might be a risk of failure in a course or program, and design interventions. Time to adaption
Set at 2 to 3 years away from widespread adoption Learning Analytics across disciplines George Siemens.(2011) Learning analytics refers to the interpretation of a wide range of data to study student engagement, performance, and progress in practice, with the goal of using what is learned to revise curricula, teaching, and assessment in real time. Horizon Report.(2012) learners data metrics analytics intervention Through an analysis and interpretation of the actions as behavior, interaction, participation in Activities, posting, discussion forum etc., staff and faculty have measurable values for based-decision making and the application of strategies. Analytics offers information in real time, and suggests alternatives for optimize curriculum and assess academic progress. (learning as a service) Identify students who might be At-Risk and possibility intervention programs strategies. The trend could be Social learning Analytics. (The vision include social network analysis, discourse analysis, content analysis, disposition analysis and context analysis.) This is an online, interactive gatekeeper training program that teaches students (1) identify students signs of psychological distress (including depression and thoughts of suicide); (2) approach students to discuss their concern; and (3) make referrals to university counseling centers. Objectives
University and college students increase knowledge about:
The signs of student psychological distress.
Communication with at-risk students and motivate them to seek help.
Handle a Risk-Student's situation
Local resources (including their campus counseling center) conclusions and challenge Oswaldo Castro Romero Learning Analytics refers to the interpretation of a wide range of data produced by and gathered on behalf of students in order to assess academic progress, predict future performance, and spot potential issues. Technology to watch Business and communication Medicine Science, Technology, mathematics,
and engineering Horizont Report (2012) http://www.nmc.org/pdf/2012-horizon-report-HE.pdf
Chacon F., Sipcer D., Valbuena A. (2012) Analysis in Support of Students Retantion and Success.
Ferguson R., Buckingham Shum, S. (2012) Social Learning Analytics: Five Approaches.
Wagner E., Ice P. (2012) Data Change Everything: Deleving on the promise of Learning Analytics in Higher Education.
Siemens G., Gasevic D., Haythornthwaite C., Dawson S. (2011) Open Learning Analytics: an integred & modularized platform.
Siemens G., S J.d. Baker R., (2011) Learning Analytics and Educational Dara Mining: towards Communication and Collaboration
Long P, Siemens G. (2011) Penetrating the Flog: Analytics in Learning and Education.
At-Risk for collage students (2011) Results from a National Study at 35
Leading Universities & Colleges in the U.S. Literature reviewed Analysis uses data when students are socially engaged. References