KSET: Using data mining to analyze students’ pre-class online learning in flipped classroom environments

• In Event: Roundtables Wed3
  In Roundtable Session: KSET - Roundtables Wed3

Short Description

Success of flipped learning is dependent on students’ pre-class learning. However, learners report difficulties sustaining their endeavor to review video lectures and course materials prior to class. Data-mining approach enables instructors to analyze students’ course of actions for studying provided materials and apply appropriate instructional strategies. Based on the literature, this study 1) identified success factors and relevant behavioral patterns in flipped learning, and 2) suggested variables from log data to represent the behavioral patterns.

Authors

• Dongho Kim, The University of Georgia

• Jongpil Cheon, Texas Tech University

• Seung Won Yoon, Texas A&M University

• Nari Kim, University of Wisconsin, Oshkosh