For the past year or so, Bill Gehring (Arthur F. Thurnau Professor of Psychology) has used questionnaires in several large-enrollment classes -- Introduction to Cognitive Psychology, the Summer Bridge Program, Introductory Psychology -- to identify the study habits and skills that correlate with class performance. His primary goal has been to give feedback to students shortly after an exam that would help them to do better on their next exam. In this session, he will discuss several correlates of class performance related to study habits and laptop use, as well as some unexpectedly robust and perplexing findings on the non-cognitive factors underlying success in these classes.
Sponsored by the Provost's Task Force on Learning Analytics, the Student Learning and Analytics at Michigan (SLAM) Seminar is a year-long speaker series.
For more information about learning analytics at U-M and to view videos and slides from the 2012-2013 SLAM series, click here.
For information about the 2011-12 SLAM Series, click here.
Submitted by bmatheny on Fri, 09/07/2012 - 10:31am
In this session, Marsha Lovett will present on the Learning Dashboard, an analytics system that uses sophisticated cognitive and statistical models to capture students’ learning states from clickstream data and to provide inferences, recommendations, and data visualizations to both students and instructors. Dr. Lovett is Director of Carnegie Mellon University's Eberly Center for Teaching Excellence and Teaching Professor in the Department of Psychology.
For more information about learning analytics at U-M and to view videos and slides from the 2012-2013 SLAM series, click here.
For information about the 2011-12 SLAM Series, click here.
This session will feature a discussion with Learning Analytics Task Force members about the Exploring Learning Analytics Grant ($30-$150K) request for proposals and the Winter 2013 Learning Analytics Fellows Program application.
Please bring your preliminary grant proposal ideas to the session, and send advance questions or topics you would like addressed to Google Moderator: http://goo.gl/mod/sPXc (Exploring Learning Analytics Grants series).
At this Google Moderator series, you will see several possible topics listed on the left. Choose one or add a new topic. Within each topic, you can add your question/idea by clicking "Suggest a question" or vote for an existing question by clicking the checkmark button. For questions about Google Moderator, please click here or email Mary Wright at mcwright@umich.edu.
For more information about learning analytics at U-M and to view videos and slides from the 2012-2013 SLAM series, click here.
For information about the 2011-12 Symposium on Learning Analytics at Michigan, click here.
Sponsored by the Provost's Task Force on Learning Analytics, the Student Learning and Analytics at Michigan (SLAM) Seminar is a year-long speaker series. At this session, Dr. Krishna Madhavan, School of Engineering Education at Purdue University, will discuss Deep Insights Anytime, Anywhere (DIA2), an interactive data mining and social network visualization tool for education research. DIA2 is an NSF-funded project that maps complex education research relationships and identifies trends in funding and publications. The interactive visualizations reveal previously "hidden" trends and allow someone who is not an expert in data mining to make sense of large amounts of data through a user-friendly interface.
For more information about learning analytics at U-M and to view videos and slides from the 2012-2013 SLAM series, click here.
For information about the 2011-12 SLAM series, click here.
Sponsored by the Provost's Task Force on Learning Analytics, the Student Learning and Analytics at Michigan (SLAM) Seminar is a year-long speaker series. At this session, Professor George Siemens, Athabasca University, will discuss how faculty can adopt multiple analytics lenses and draw from a wide range of data sources. Dr. Siemens is a leading speaker and researcher on learning in digital environments.
For more information about learning analytics at U-M and to view videos and slides from the 2012-2013 SLAM series, click here.
For information about the 2011-12 Symposium on Learning Analytics at Michigan series, click here.