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DeepStealth: Game-Based Learning Stealth Assessment with Deep Neural Networks

IEEE Transactions on Learning Technologies(2020)

引用 43|浏览27
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摘要
A distinctive feature of game-based learning environments is their capacity for enabling stealth assessment. Stealth assessment analyzes a stream of fine-grained student interaction data from a game-based learning environment to dynamically draw inferences about students' competencies through evidence-centered design. In evidence-centered design, evidence models have been traditionally designed us...
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关键词
Hidden Markov models,Computational modeling,Games,Predictive models,Task analysis,Adaptation models,Computer science
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