Comparison of Machine Learning Methods for Intelligent Tutoring Systems
To implement real intelligence or adaptivity, the models for intelligent tutoring systems should be learnt from data. However, the educational data sets are so small that machine learning methods cannot be applied directly. In this paper, we tackle this problem, and give general outlines for creating accurate classifiers for educational data. We describe our experiment, where we were able to predict course success with more than 80% accuracy in the middle of course, given only hundred rows of data.
KeywordsSupport Vector Machine Bayesian Network Association Rule Machine Learn Method Intelligent Tutoring System
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