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.
|Publication status||Published - 16 Oct 2023|
|Event||46th AECT International Convention 2023 - DoubleTree by Hilton at the Entrance to Universal Orlando, Virtual, Orlando, United States|
Duration: 15 Oct 2023 → 19 Oct 2023
https://convention.aect.org/ (Link to conference website)
https://aect.org/aects_annual_convention_proce.php (Link to conference proceedings )
|Conference||46th AECT International Convention 2023|
|Period||15/10/23 → 19/10/23|