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Direct linkErica L. Snow; Maria Ofelia Z. San Pedro; Matthew Jacovina; Danielle S. McNamara; Ryan S. Baker – Grantee Submission, 2015
This study investigates how we can effectively predict what type of game a user will choose within the game-based environment iSTART-2. Seventy-seven college students interacted freely with the system for approximately 2 hours. Two models (a baseline and a full model) are compared that include as features the type of games played, previous game…
Descriptors: Game Based Learning, Decision Making, Prediction, Student Attitudes
