DeepStealth: Game-Based Learning Stealth Assessment with Deep Neural Networks
IEEE Transactions on Learning Technologies(2020)
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...
更多查看译文
关键词
Hidden Markov models,Computational modeling,Games,Predictive models,Task analysis,Adaptation models,Computer science
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要