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What We Can Learn from the Data: A Multiple-Case Study Examining Behavior Patterns by Students with Different Characteristics in Using a Serious Game
ARTICLE

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Technology, Knowledge and Learning Volume 21, Number 1, ISSN 2211-1662

Abstract

Using a multi-case approach, we examined students' behavior patterns in interacting with a serious game environment using the emerging technologies of learning analytics and data visualization in order to understand how the patterns may vary according to students' learning characteristics. The results confirmed some preliminary findings from our previous research, but also revealed patterns that would not be easily detected without data visualizations. Such findings provided insights about designing effective learning scaffolds to support the development of problem-solving skills in young learners and will guide our next-step research.

Citation

Liu, M., Lee, J., Kang, J. & , L. (2016). What We Can Learn from the Data: A Multiple-Case Study Examining Behavior Patterns by Students with Different Characteristics in Using a Serious Game. Technology, Knowledge and Learning, 21(1), 33-57. Retrieved February 18, 2020 from .

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Cited By

View References & Citations Map
  • Exploring Data Visualization as an Emerging Analytic Technique

    Min Liu, University of Texas at Austin, United States; Jina Kang, Pan Zilong, Wenting Zou & Hyeyeon Lee, Univ. of Texas at Austin, United States

    E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2017 (Oct 17, 2017) pp. 1681–1690

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