Academic Pathway of Engagement Patterns and Performance Based on Learning Management System Data

Tuesday, 8 July 2025: 10:15
Location: FSE001 (Faculty of Education Sciences (FSE))
Oral Presentation
Jiayu ZHENG, Johns Hopkins University, USA
Traditional pipeline and trajectory studies often emphasize institutional settings and structural constraints, such as the pipeline from two-year community colleges to four-year universities. In contrast, this study adopts the pathway perspective (Kizilcec et al., 2023) to observe students' longitudinal engagement patterns, integrating measures of their agency in navigating undergraduate education. While conventional research using Learning Management System (LMS) data typically focuses on course-specific contexts and structured curricula, we explore the concept of "social jetlag", the misalignment between students' natural learning rhythms and institutional schedules, by visualizing students' dynamic engagement patterns throughout the week and across multiple years, extending beyond individual courses.

This research addresses the following questions: (1) What are the typical learning pathways characterized by time engagement and social jetlag throughout a four-year undergraduate program? (2) How are students' learning pathways related to academic performance? (3) Does this relationship vary based on demographic characteristics such as gender, race, and first-generation status?

Analyzing LMS and administrative data from 9,883 students at a U.S. public university using R, we visualized the evolution of engagement patterns, applied Gaussian mixture models and k-means clustering to categorize students into distinct academic pathways, and employed a two-way fixed effects model to uncover heterogeneity across student groups. Our findings reveal that students exhibit higher engagement and less social jetlag during their first two years, indicating more consistent and regular learning behaviors. In contrast, during the final two years, students display lower engagement levels and increased social jetlag, suggesting more irregular learning patterns. Furthermore, we observed that first-generation and underrepresented racial minority students maintained higher engagement levels yet achieved lower academic performance compared to their counterparts throughout their undergraduate studies. This research contributes to a deeper understanding of students' longitudinal engagement patterns and underscores the significance of considering student agency and demographic factors when analyzing academic pathways.