Mining Data to Boost Collaborative Learning in Educational Games
Mining Data to Boost Collaborative Learning in Educational Games
Mining Data to Boost Collaborative Learning in Educational Games
H'Rina DeTroy
March, 20, 2025
Summary
Researchers at NC State University have developed software that uses data mining to enhance educational games by assessing and improving students' collaborative problem-solving (CPS) skills in real time. Using constraint-based pattern mining, the system identifies behavioral patterns and predicts learning outcomes without disrupting gameplay. In a study with 61 middle school students using the EcoJourneys game, the software analyzed trace log data to evaluate how effectively CPS skills were taught. The adaptive tool evolves with student interaction, allowing in-game interventions to support learning. The research, supported by the NSF, was presented at the 2025 Learning Analytics & Knowledge Conference.
Reference
DeTroy, H. (2025, March 20). Mining data to boost collaborative learning in educational games. NC State University News. https://news.ncsu.edu/2025/03/mining-data-to-boost-collaborative-learning-in-educational-games/