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 language | English |
|---|---|
| Pages (from-to) | 262-279 |
| Number of pages | 18 |
| Journal | Interactive Learning Environments |
| Volume | 25 |
| Issue number | 2 |
| DOIs | |
| State | Published - 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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