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Models for Digital Learning in Computational and Game-Based Contexts
Thu, May 4, 11:30am to 1:00pm CDT (11:30am to 1:00pm CDT), SIG Virtual Rooms, Technology, Instruction, Cognition & Learning SIG Virtual Paper RoomSession Type: Virtual Paper Session
Sub Unit
Chair
Papers
Classifying Preservice Teachers' Computational Thinking Skills Using Machine Learning Algorithms - Hao-Yue Jin, University of Alberta; Maria Cutumisu, McGill University
Exploring an Adaptable Solution to Construct Blended-Learning Models: A Grounded Theory Study in China - Min Xiao, East China Normal University
The Effects of Dynamic and Static Feedback on Digital Game-Based Learning Under Tasks With Different Difficulty - Peipei Mao, Central China Normal University; Zhihui Cai, Central China Normal University; Zhikeng Wang; Jinbo He, The Chinese University of Hong Kong; Xitao Fan, The Chinese University of Hong Kong
The Impact of Prior Knowledge and Gender on Preservice Teachers' Computational Thinking and Problem-Solving - Hao-Yue Jin, University of Alberta; Maria Cutumisu, McGill University