Using Learning Management System Data to Uncover Nuances in College Students' Planning and Procrastination Behaviors

• In Event: Statistical Methods for Assessing Self-Regulated Learning in Context

Abstract

The goal of this study was to explore nuances in students' Self-regulated Learning (SRL) in a large undergraduate Chemistry course. Our sample consisted of 427 undergraduate students enrolled in a 10-week introductory Chemistry course, which utilized the university's Learning Management System (LMS) to provide students with course materials. Using LMS click data, we created two indicators of SRL: time management and cramming. Clustering these two indicators revealed five distinct SRL strategies. Interestingly, even students who showed strong planning behaviors tended to engage in cramming. High planning students received the highest course grades. Our study helps shed new light on how SRL occurs in real class contexts by demonstrating the importance of balancing planning and cramming for effective learning.

Authors

• Fernando Rodriguez, University of California - Irvine
  Presenting Author

• Hye Rin Lee, University of Delaware
  Non-Presenting Author

• Teomara Rutherford, University of Delaware
  Non-Presenting Author

• Qiujie Li, University of California - Irvine
  Non-Presenting Author

• Amanda Holton, University of California - Irvine
  Non-Presenting Author