MindDot: Supporting Effective Cognitive Behaviors in Concept Map-Based Learning Environments

Interactive Data VisualizationIntelligent Tutoring Systems & Learning AnalyticsK-12 TeachersOnline Course DesignersOnline Tutors

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 support and an expert template. Study results suggested that both types of support had positive impact on the development of comparative strategies and that hyperlink support enhanced learning. We further evaluated the cognitive learning progress at a fine-grained level with two forms of visualizations. We then extracted several behavioral patterns that provided insights about the cognitive progress in learning. Lastly, we derive design recommendations that we hope will inspire future intelligent tutoring systems that automatically evaluate students' learning behaviors and foster them in developing effective learning behaviors

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https://hci.top/en/papers/chi/7509/2019

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CHI
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Year
2019
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3 authors
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Interactive Data Visualization, Intelligent Tutoring Systems & Learning Analytics
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K-12 Teachers, Online Course Designers, Online Tutors
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Abstract only
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