Images in computer-supported learning: Increasing their benefits for metacomprehension through judgments of learning
作者：
Highlights：
• Tested if judgments of difficulty prior to judgments of learning increased the benefit of images for metacomprehension.
• We proposed that such combined judgements would promote experience-based processing.
• Metacomprehension accuracy was boosted by 75% under combined judgments.
• Moreover, knowledge test performance was significantly higher with combined judgments.
摘要
•Tested if judgments of difficulty prior to judgments of learning increased the benefit of images for metacomprehension.•We proposed that such combined judgements would promote experience-based processing.•Metacomprehension accuracy was boosted by 75% under combined judgments.•Moreover, knowledge test performance was significantly higher with combined judgments.
论文关键词：Metacomprehension accuracy,Judgments of learning,Computer-supported learning
论文评审过程：Received 23 October 2015, Revised 19 December 2015, Accepted 21 December 2015, Available online 14 January 2016, Version of Record 14 January 2016.
论文官网地址：https://doi.org/10.1016/j.chb.2015.12.058
