Investigating Students' Computational Problem-Solving Processes using Hidden Markov Model and Video Analysis

• In Event: TIL- Computational Thinking and Computational Problem-Solving in K-12

Short Description

Understanding students' problem-solving processes helps researchers and instructors provide appropriate and timely interventions in game-based learning environments. In this study, we aim to explore how students engage in problem-solving and identify potential moments of struggle in a puzzle-based computational thinking game. We first applied Hidden Markov Model to capture problem-solving transitions and located potential moments. We then employed video analysis to uncover how and why students struggled during their problem-solving processes.

Authors

• Contributor: Tongxi Liu, University of Florida

• Contributor: Wei Yan, University of Florida