Using sequence mining to reveal the efficiency in scientific reasoning during STEM learning with a game-based learning environment
Taub, M., Azevedo, R., Bradbury, A. E., Millar, G. C., & Lester, J. (2017, September 1). Learning and Instruction, Vol. 9.
author keywords: Metacognition; Self-regulated learning; Scientific reasoning; Game-based learning; Sequence mining; Process data; Log files
topics (OpenAlex): Educational Games and Gamification; Innovative Teaching and Learning Methods; Intelligent Tutoring Systems and Adaptive Learning
TL;DR:
Results revealed that participants who were more efficient at solving the mystery tested significantly fewer partially-relevant and irrelevant items than less efficient participants and have implications for designing adaptive GBLEs that scaffold participants based on in-game behaviors.
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Sources: Web Of Science, NC State University Libraries