Abstract

This study investigates whether information saved in the log files of a computer-based tutor can be used to predict the problem solving performance of students. The log files of a computer-based physics tutoring environment called Andes Physics Tutor was analyzed to build a logistic regression model that predicted success and failure of students' problem solving from their past interactions with the computer-based tutor. The logistic regression model developed in this study was able to correctly identify about 70% of the observed problem solving performance. The 10-fold cross-validation and the Receiver Operating Characteristic (ROC) curve analyses suggest that the developed logistic regression model can predict students' problem solving performance on unseen new problems with a similar accuracy in the future.

Citation

Lee, Y.J. Analyzing Log Files to Predict Students' Problem Solving Performance in a Computer-Based Physics Tutor. Journal of Educational Technology & Society, 18(2), 225-236. Retrieved September 27, 2023 from https://www.learntechlib.org/p/158889/.

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Keywords

• academic achievement
• Accuracy
• Computer Assisted Instruction
• Computer Software
• databases
• intelligent tutoring systems
• Introductory Courses
• Military Schools
• physics
• Prediction
• problem solving
• Regression (Statistics)
• Science Instruction
• teaching methods
• undergraduate students