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.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Aleven, V., Koedinger, K.R.: Limitations of student control: Do students know when they need help? In: Gauthier, G., VanLehn, K., Frasson, C. (eds.) ITS 2000. LNCS, vol. 1839, pp. 292–303. Springer, Heidelberg (2000)
Baker, R., Walonoski, J., Heffernan, N., Roll, I., Corbett, A., Koedinger, K.: Why students engage in “gaming the system” behavior in interactive learning environments. Journal of Interactive Learning Research 19(2), 185–224 (2008)
Beck, J.E., Chang, K.-m., Mostow, J., Corbett, A.T.: Does help help? Introducing the Bayesian Evaluation and Assessment methodology. In: Woolf, B.P., Aïmeur, E., Nkambou, R., Lajoie, S. (eds.) ITS 2008. LNCS, vol. 5091, pp. 383–394. Springer, Heidelberg (2008)
Brown, J.S., Burton, R.R.: Diagnostic models for procedural bugs in basic mathematical skills. Cognitive Science 2(2), 155–192 (1978)
Sison, R., Shimura, M.: Student modeling and machine learning. International Journal of Artificial Intelligence in Education (IJAIED) 9, 128–158 (1998)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-07221-0_103
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07220-3
Online ISBN: 978-3-319-07221-0
eBook Packages: Computer ScienceComputer Science (R0)