Learning analysis of K-12 students’ online problem solving: a three-stage assessment approach

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25 Scopus citations

Abstract

Problem solving is considered a fundamental human skill. However, large-scale assessment of problem solving in K-12 education remains a challenging task. Researchers have argued for the development of an enhanced assessment approach through joint effort from multiple disciplines. In this study, a three-stage approach based on an evidence-centered design framework is proposed to analyze problem-solving behavior, abilities, and performance. The approach is applied to assess the online problem solving of 554 students in a Shanghai primary school. The study reveals four clusters with distinctive problem-solving behavior, abilities, and performance. The findings of this approach also corroborate the results of the Programme for International Student Assessment of Shanghai students’ problem-solving performance. The implications and limitations of this study are also discussed.

Original languageEnglish
Pages (from-to)262-279
Number of pages18
JournalInteractive Learning Environments
Volume25
Issue number2
DOIs
StatePublished - 17 Feb 2017

Keywords

  • Problem solving
  • cluster analysis
  • cognitive diagnosis
  • evidence-centered design
  • large-scale assessment
  • learning analytics
  • sequential data mining

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