Assessing implicit computational thinking in Zoombinis puzzle gameplay
作者：
Highlights：
• Described an emergent approach to the development of game-based learning assessments.
• Used data-mining methods to create detectors of students' implicit computational thinking based on gameplay behaviors.
• Results showed in-game measures were significantly related to external measures of computational thinking.
• Applications of in-game measures as formative computational thinking assessments of teachers and designers.
摘要
•Described an emergent approach to the development of game-based learning assessments.•Used data-mining methods to create detectors of students' implicit computational thinking based on gameplay behaviors.•Results showed in-game measures were significantly related to external measures of computational thinking.•Applications of in-game measures as formative computational thinking assessments of teachers and designers.
论文关键词：Implicit learning,Computational thinking,Learning games,Classification algorithms
论文评审过程：Received 18 November 2019, Revised 4 June 2020, Accepted 16 January 2021, Available online 27 January 2021, Version of Record 18 February 2021.
论文官网地址：https://doi.org/10.1016/j.chb.2021.106707
