Student behavioral analysis in Problem-based learning: Problem identification

Abstract

This study explores the implementation of Problem-Based Learning (PBL) in a Distributed Computing course for third-year engineering students. Conducted in an online learning environment, the study introduced students to the fundamentals of PBL, including its steps and characteristics. Students were tasked with developing their problem statements, supported by reading materials and ChatGPT. The quality of these problem statements was used to classify students as low, medium, or high performers. Log data was analyzed to examine the interaction patterns of students across these performance levels.