| Owner: |
Min Liu
|
| Owner Email: |
mliu@austin.utexas.edu
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| Paper Title: |
Examining Students' Navigation Patterns in Game-Based Learning Using Learning Analytics
|
| Session Title: |
Design and Instructional Technology
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| Paper Type: |
Virtual Paper
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| Presentation Date: |
5/4/2023
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| Presentation Location: |
Chicago, IL
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| Descriptors: |
Computers and Learning, Data-driven decision making, Instructional Technology
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| Methodology: |
Quantitative
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| Author(s): |
Min Liu, University of Texas at Austin; Ying Cai, University of Texas at Austin; Songhee Han, University of Texas at Austin; Peixia Shao, University of Texas at Austin
|
| Unit: |
SIG-Instructional Technology
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| Abstract: |
Much research on learning analytics occurs at the university level. Relevant research in K-12 education is needed. This study investigated 4115 middle school students’ learning paths based on their behavioral patterns and the relationship with their performance levels when these students used a digital learning game as their science curriculum. The findings showed significant positive relationships between various tool uses and performance measures; and varied tool use patterns by high- and low- performing students. Students who used tools appropriately and wisely were more likely to succeed. Results also revealed that log data could not explain all learners’ actions. The findings provided empirical evidence to support using analytics for game-based learning in K-12 education. Implications are discussed.
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| DOI: |
https://doi.org/10.3102/2007971
|