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

Min Liu, Jaejin Lee, Jina Kang, Sa Liu

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)33-57
Number of pages25
JournalTechnology, Knowledge and Learning
Volume21
Issue number1
DOIs
StatePublished - Apr 1 2016
Externally publishedYes

Keywords

  • Data visualization
  • Fantasy
  • Game engagement
  • Learning analytics
  • Middle school science
  • Problem solving
  • Serious games

ASJC Scopus subject areas

  • Mathematics (miscellaneous)
  • Education
  • Human-Computer Interaction
  • Computer Science Applications

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