Minddot: Supporting effective cognitive behaviors in concept map-based learning environments

Shang Wang, Deniz Sonmez Unal, Erin Walker

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

1 Scopus citations

Abstract

While prior research has revealed the promising impact of concept mapping on learning, few have comprehensively modeled different cognitive behaviors during concept mapping. In addition, existing concept mapping tools lack effective feedback to support better learning behaviors. This work presents MindDot, a concept map-based learning environment that facilitates the cognitive process of comparing and integrating related concepts via two forms of support, a hyperlink feature and an expert template. Study results suggested that the hyperlink support had a positive impact on the development of comparative strategies and enhanced learning, while the template support had marginal effects on learning. We further evaluated the cognitive process at a fine-grained level with two forms of visualizations. We then extracted several behavioral patterns that provided insights about the cognitive process in learning. Lastly, we derive design recommendations that we hope will inspire future concept map-based learning systems that evaluate students’ learning processes and adaptively support them in developing effective learning behaviors.

Original languageEnglish (US)
Title of host publicationCHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450359702
DOIs
StatePublished - May 2 2019
Externally publishedYes
Event2019 CHI Conference on Human Factors in Computing Systems, CHI 2019 - Glasgow, United Kingdom
Duration: May 4 2019May 9 2019

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2019 CHI Conference on Human Factors in Computing Systems, CHI 2019
CountryUnited Kingdom
CityGlasgow
Period5/4/195/9/19

Keywords

  • Behavioral patterns
  • Comparative strategy
  • Concept mapping
  • Data visualization
  • Expert template
  • Hyperlink navigation

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

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  • Cite this

    Wang, S., Unal, D. S., & Walker, E. (2019). Minddot: Supporting effective cognitive behaviors in concept map-based learning environments. In CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Conference on Human Factors in Computing Systems - Proceedings). Association for Computing Machinery. https://doi.org/10.1145/3290605.3300258