Impact of off-task and gaming behaviour on learning

  • Haig, Ella (PI)
  • Hershkovitz, Arnon (CoI)
  • Baker, Ryan S. J. D. (CoI)

Project Details

Description

The work for this project was initiated at the LearnLab Summer School 2008, Carnegie Mellon, USA. An educational data mining approach was used to examine the effects of off-task behaviour (i.e. engagement with activities unrelated to learning) and gaming behaviour (i.e. taking advantage of the system’s feedback
and help to succeed without learning the material) on learning.

Key findings

Gaming behaviour tends to have immediate harmful impact - off-task behaviour tends to have aggregated harmful impact on learning due to fewer opportunities to practice
StatusFinished
Effective start/end date1/07/0831/07/08

Fingerprint

Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
  • Modeling and studying gaming the system with educational data mining

    Baker, R. S. J. D., Corbett, A. T., Roll, I., Koedinger, K. R., Aleven, V., Cocea, M., Hershkovitz, A., Caravalho, A. M. J. B. D., Mitrovic, A. & Mathews, M., 2013, International handbook of metacognition and learning technologies. Azevedo, R. & Aleven, V. (eds.). New York: Springer, p. 97-115 (Springer international handbooks of education; no. 28).

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

  • Educational data mining methods for studying student behaviors minute by minute across an entire school year

    Baker, R., de Carvalho, A., Raspat, J., Aleven, V., Corbett, A., Koedinger, K., Cocea, M. & Hershkovitz, A., 2010, p. 47-48. 2 p.

    Research output: Contribution to conferencePaperpeer-review

  • The impact of off-task and gaming behaviors on learning: immediate or aggregate?

    Cocea, M., Hershkovitz, A. & Baker, R. S. J. D., 2009, Proceedings of the 2009 conference on Artificial Intelligence in Education: building learning systems that care: from knowledge representation to affective modelling. Dimitrova, V., Mizoguchi, R., Du Boulay, B. & Graesser, A. (eds.). Amsterdam: IOS Press, p. 507-514 (Frontiers in Artificial Intelligence and Applications).

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

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