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Moon, Jewoong; Ke, Fengfeng; Sokolikj, Zlatko; Dahlstrom-Hakki, Ibrahim – Journal of Learning Analytics, 2022
Using multimodal data fusion techniques, we built and tested prediction models to track middle-school student distress states during educational gameplay. We collected and analyzed 1,145 data instances, sampled from a total of 31 middle-school students' audio- and video-recorded gameplay sessions. We conducted data wrangling with student gameplay…
Descriptors: Learning Analytics, Stress Variables, Educational Games, Middle School Students
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Yu, Jiaqi; Ma, Wenchao; Moon, Jewoong; Denham, Andre R. – Journal of Learning Analytics, 2022
Integrating learning analytics in digital game-based learning has gained popularity in recent decades. The interactive nature of educational games creates an ideal environment for learning analytics data collection. However, past research has limited success in producing accessible and effective assessments using game learning analytics. In this…
Descriptors: Learning Analytics, Student Evaluation, Educational Games, Computer Games