A Two-Level Cluster Analysis that Integrates Fine-Grained Event-Based Sequences with Learner-Based Behavioral Patterns

• In Event: TIL- A Two-Level Cluster Analysis that Integrates Fine-Grained Event-Based Sequences with Learner-Based Behavioral Patterns

Short Description

Cluster analysis using sequential log data has been used to understand learner behavioral patterns and identify profiles of learners according to their learning behaviors. In this study, we propose and test a two-level clustering technique that analyzes learner behavior patterns at two different levels (event-level and person-level). The statistical results suggest that this method could yield meaningful grouping outcomes that can differentiate learners upon their learning strategies and academic performance.

Authors

• Presenter: Zilong Pan, University of Texas at Austin

• Presenter: Zilu Jiang, The Ohio State University

• Contributor: Qiwei Men, The Ohio State University

• Contributor: Jingwen He, The Ohio State University

• Presenter: Kui Xie, The Ohio State University