Predicting expert–novice performance as serious games analytics with objective-oriented and navigational action sequences
作者：
Highlights：
• New metrics are needed to produce insights in serious games analytics.
• Action sequences can be coded using task- or tile-based approach.
• Size of map grids can affects the accuracy in performance prediction.
• Grid size affects tile-based coding of action sequences and performance prediction.
• The optimal map grid size must be determined independently for each game.
摘要
•New metrics are needed to produce insights in serious games analytics.•Action sequences can be coded using task- or tile-based approach.•Size of map grids can affects the accuracy in performance prediction.•Grid size affects tile-based coding of action sequences and performance prediction.•The optimal map grid size must be determined independently for each game.
论文关键词：Similarity measures,Expert–novice performance,Serious games analytics,Action sequences,Partial least squares,Discriminant analysis
论文评审过程：Available online 14 March 2015.
论文官网地址：https://doi.org/10.1016/j.chb.2015.02.053
