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 December 7, 2023 from https://www.learntechlib.org/p/158889/.

This record was imported from ERIC on November 3, 2015. [Original Record]

ERIC is sponsored by the Institute of Education Sciences (IES) of the U.S. Department of Education.

Copyright for this record is held by the content creator. For more details see ERIC's copyright policy.

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