A Latent Class Analysis on Student Journey Through an Online Course

• In Event: Poster Session 18
  In Poster Session: Poster Session: Research on Online Instruction

Abstract

This purpose of this study was to identify similarities and dissimilarities among 210 students enrolled in an online course. Conducting latent class analysis on learning management systems (LMS) data which measured course performance and course engagement over time, the researchers found three statistically different subgroups, while one of them appeared to be more at-risk than the others. This study has implications for course facilitators or instructors who need to recognize such students and provide timely intervention.

Authors

• Peiyi Lin, Teachers College, Columbia University

• Susan Lowes, Teachers College, Columbia University