Are You Confused? Predicting Student Confusion in Proof Helper

نویسندگان

  • Colleen Lee
  • Ethan Fast
  • Jeffrey Chen
چکیده

Proof Helper addresses an important area of education, automated evaluation and assistance with proofs. However, one important question is when to provide hints to a student; ideally, we’d like to do this when the student is judged as being sufficiently confused. We ran a study using the oDesk service to collect data on how submission histories can be used as predictors for confusion. Though we were not able to reliably predict confusion given the amount of data we collected and the features we examined, we examine our results and analyze them to guess how we could make a similar future experiment more successful.

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تاریخ انتشار 2011