The relationship between confusion and metacognitive strategies in Betty's Brain

Yingbin Zhang, Nigel Bosch, Luc Paquette, Anabil Munshi, Ryan S. Baker, Gautam Biswas, Jaclyn Ocumpaugh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Confusion has been shown to be prevalent during complex learning and has mixed effects on learning. Whether confusion facilitates or hampers learning may depend on whether it is resolved or not. Confusion resolution, behind which is the resolution of cognitive disequilibrium, requires learners to possess some skills, but it is unclear what these skills are. One possibility may be metacognitive strategies (MS), strategies for regulating cognition. This study examined the relationship between confusion and actions related to MS in Betty's Brain, a computer-based learning environment. The results revealed that MS behavior differed during and outside confusion. However, confusion resolution was not related to MS behavior, and MS did not moderate the effect of confusion on learning.

Original languageEnglish (US)
Title of host publicationLAK 2020 Conference Proceedings - Celebrating 10 years of LAK
Subtitle of host publicationShaping the Future of the Field - 10th International Conference on Learning Analytics and Knowledge
PublisherAssociation for Computing Machinery
Pages276-284
Number of pages9
ISBN (Electronic)9781450377126
DOIs
StatePublished - Mar 23 2020
Event10th International Conference on Learning Analytics and Knowledge: Shaping the Future of the Field, LAK 2020 - Frankfurt, Germany
Duration: Mar 23 2020Mar 27 2020

Publication series

NameACM International Conference Proceeding Series

Conference

Conference10th International Conference on Learning Analytics and Knowledge: Shaping the Future of the Field, LAK 2020
CountryGermany
CityFrankfurt
Period3/23/203/27/20

Keywords

  • Confusion
  • Confusion resolution
  • Learning analytics
  • Metacognitive strategy

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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  • Cite this

    Zhang, Y., Bosch, N., Paquette, L., Munshi, A., Baker, R. S., Biswas, G., & Ocumpaugh, J. (2020). The relationship between confusion and metacognitive strategies in Betty's Brain. In LAK 2020 Conference Proceedings - Celebrating 10 years of LAK: Shaping the Future of the Field - 10th International Conference on Learning Analytics and Knowledge (pp. 276-284). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3375462.3375518