作者: Davide Fossati , David Cosejo , Barbara Di Eugenio , Christopher Brown , Stellan Ohlsson
DOI: 10.3233/978-1-60750-028-5-491
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摘要: We developed a new model for iList, our system that helps students learn linked list. The is automatically extracted from past student data, and allows iList to track students' problem-solving behavior in order provide targeted feedback. evaluated the both intrinsically extrinsically. show can match most actions after relatively small sequence of observations, effectively use tracker feedback help learn.