Assessing implicit science learning in digital games
作者：
Highlights：
• Described an emergent approach to game-based learning assessment.
• Data mining methods—detectors and interaction networks—used for in-game measures.
• Results showed in-game measures were significantly related to learning gains.
• Created valid, computer-based assessments of implicit science learning.
• Applications of implicit learning measures in adaptive games and teacher tools.
摘要
•Described an emergent approach to game-based learning assessment.•Data mining methods—detectors and interaction networks—used for in-game measures.•Results showed in-game measures were significantly related to learning gains.•Created valid, computer-based assessments of implicit science learning.•Applications of implicit learning measures in adaptive games and teacher tools.
论文关键词：Computer-based assessment,Implicit science learning,Game-based learning,Educational data mining,Learning analytics
论文评审过程：Received 30 June 2016, Revised 15 March 2017, Accepted 19 March 2017, Available online 23 March 2017, Version of Record 9 September 2017.
论文官网地址：https://doi.org/10.1016/j.chb.2017.03.043
