Examining Students' Navigation Patterns in Game-Based Learning Using Learning Analytics

• In Event: Design and Instructional Technology

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.

Authors

• Min Liu, University of Texas at Austin
  Presenting Author

• Ying Cai, University of Texas at Austin
  Presenting Author

• Songhee Han, University of Texas at Austin
  Presenting Author

• Peixia Shao, University of Texas at Austin
  Presenting Author