Learning from errors: Identifying strategies in a math tutoring system
Abstract
This study attempts to investigate how students gain knowledge by utilizing help and practice after making errors. We define three types of strategies used by students after errors: help-seeking (requesting two worked examples in the next attempts after an error), practice (solving the problems in the next two attempts after an error), and mixed (first requesting a worked example or first solving a problem in the next two attempts after an error). Our results indicate that the most frequently used strategies are help and mixed strategies. However, the practice strategy and mixed strategies facilitate immediate performance improvement. Additionally, the help strategy was found to interfere with delayed performance.
Publication Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Recommended Citation
Xie, J., Shubeck, K., Craig, S., & Hu, X. (2017). Learning from errors: Identifying strategies in a math tutoring system. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10331 LNAI, 590-593. https://doi.org/10.1007/978-3-319-61425-0_71
