Abstract
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.
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Selent, D., Heffernan, N. (2014). Reducing Student Hint Use by Creating Buggy Messages from Machine Learned Incorrect Processes. In: Trausan-Matu, S., Boyer, K.E., Crosby, M., Panourgia, K. (eds) Intelligent Tutoring Systems. ITS 2014. Lecture Notes in Computer Science, vol 8474. Springer, Cham. https://doi.org/10.1007/978-3-319-07221-0_103
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DOI: https://doi.org/10.1007/978-3-319-07221-0_103
Publisher Name: Springer, Cham
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