Educational Data Mining in Program Evaluation: Lessons Learned

• In Event: DDL - Data Mining & Program Evaluation

Short Description

Researchers present findings from a series of data mining studies, primarily examining data mining as part of an innovative triangulated approach in program evaluation. Findings suggest that is it possible to apply EDM techniques in online and blended learning classrooms to identify key variables important to the success of learners. Lessons learned will be shared as well as areas for improving data collection in learning management systems for meaningful analysis and visualization.

Authors

• Kerry Rice, Boise State University

• JUI-LONG HUNG, Boise State University

• Yu-Chang Hsu, Boise State University

• Brett Shelton, Boise State University