Boosting metacomprehension accuracy in computer-supported learning: The role of judgment task and judgment scope
作者：
Highlights：
• A metacomprehension approach might improve computer-supported learning.
• Therefore accurate judgments of learning (JOL) are required.
• JOL are predictive for future performance.
• JOL and knowledge questions need a comparable scope.
• A combination of judgments of difficulty (JOD) and JOL increases metacomprehension accuracy.
摘要
•A metacomprehension approach might improve computer-supported learning.•Therefore accurate judgments of learning (JOL) are required.•JOL are predictive for future performance.•JOL and knowledge questions need a comparable scope.•A combination of judgments of difficulty (JOD) and JOL increases metacomprehension accuracy.
论文关键词：Metacomprehension accuracy,Judgments of learning,Computer-supported learning
论文评审过程：Received 5 June 2015, Revised 27 July 2015, Accepted 30 July 2015, Available online 11 August 2015, Version of Record 11 August 2015.
论文官网地址：https://doi.org/10.1016/j.chb.2015.07.066
