Learning Analytics is the measurement, collection, analysis, and reporting of data about learners and their contexts*. At Georgia State University, we use Learning Analytics to understand and optimize learning from academic data that is typically generated from teaching and learning tools, such as the Learning Management System (iCollege) and multimedia tools (Kaltura, Playposit). Learning data from the teaching and learning tools can be used to identify learning trends and patterns, predict student learning in courses, and improving teaching and learning
Playposit is one of the multimedia tools currently used in GSU’s iCollege. Instructors can embed questions (e.g., multiple-choice, free response, reflective pause, check all that apply, skip segments, website, fill in the blank, polling) in the videos such as YouTube or Kaltura. Through this way, instructors can check students’ mastery and engagement with the videos they watch. In the Playposit dashboard, instructors can monitor and grade individual students’ performance in each question. Playposit also helps collect some assessment and activity data such as students’ scores in each question, time spent on each question, average time spent in the entire video, the number of attempts students have if they are given the multiple attempts and completion status. Data visualization (e.g., bar or histogram charts) in Playposit lets instructors quickly get an overview of student performance in terms of accuracy and completion status.
Video and Embedded Question in Playposit
The Scholarship of Teaching and Learning workshop at the Center for Excellence in Teaching and Learning on April 11th at 12 PM, Using Learning Data Analytics for Assessing Student Engagement with Content, will provide you with the information and resources you need for building on teaching and learning ideas when using learning data from multimedia tools to assess student engagement. The workshop will focus on how instructors can effectively leverage analytics from multimedia tools to measure student engagement, understand how learning data can be correlated with student engagement, and how analyses can be used to inform course design and research on teaching and learning. The workshop will be hosted by Dr. Mike Metzler, Yu-Ju Lin, and Chad Marchong.
Register here for the SoTL workshop,Using Learning Data Analytics for Assessing Student Engagement with Content, at CETL on Wednesday, April 11th at 12 PM.
*1st International Conference on Learning Analytics and Knowledge, Banff, Alberta, February 27- March 1, 2011
