Leveraging Canvas Data to Optimize Student Engagement and Academic Performance

• In Event: Virtual Poster Session
  In Virtual iPresentation Only: Division J - Section 1: College Student Learning and Development in College and Beyond Virtual Poster Session

Abstract

This study leverages Canvas data to investigate the relationship between student and faculty Canvas engagement and course outcomes. The findings reveal distinct engagement patterns for both students and faculty during a typical semester and identify significant predictors of student course performance. Specifically, adjusted cumulative GPA and student Canvas engagement emerged as significant predictors of course performance across both face-to-face and online courses. Conversely, faculty Canvas engagement was found to be negatively associated with course performance, regardless of course modality. This study sheds light on utilization of Canvas login data to deepen our understanding of students’ learning processes. This analysis facilitates the identification of areas for intervention and improvement, contributing to the enhancement of teaching and learning experiences and outcomes.

Authors

• Qingmin Shi, University of Nevada - Las Vegas

• Ashley Guyer, University of Nevada - Las Vegas

• John Crooker, University of Nevada - Las Vegas