Randy Stamm, eLearning Coordinator, Idaho State University
Monday, April 23, 2012, 1:15 pm PDT
Find out how to evaluate the data found in your Learning Management Systems (LMS) to predict potential problems with student academic success. Academic analytic theoretical information will be presented to demonstrate how institutions can move beyond collecting and reporting to predicting and improving learner success.
Facilitator: Ed Bachmann
Presentation Files: LMS ANALYTICS_2012_Stamm