Reducing Student Hint Use by Creating Buggy Messages from Machine Learned Incorrect Processes
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The goal of this research is to improve existing forms of help in tutoring systems by using “Buggy” messages, which are a simple text message specific to the incorrect answer. Buggy messages are created from machine learned incorrect processes based on the student’s incorrect answer. A randomized control trial is run in ASSISTments to determine if the buggy messages were effective.
KeywordsBuggy Messages Randomized Control Trial Machine Learning
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