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Erschienen in:
2008 | OriginalPaper | Buchkapitel
Using Hidden Markov Models to Characterize Student Behaviors in Learning-by-Teaching Environments
verfasst von : Hogyeong Jeong, Amit Gupta, Rod Roscoe, John Wagster, Gautam Biswas, Daniel Schwartz
Erschienen in: Intelligent Tutoring Systems
Verlag: Springer Berlin Heidelberg
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Using hidden Markov models (HMMs) and traditional behavior analysis, we have examined the effect of metacognitive prompting on students’ learning in the context of our computer-based learning-by-teaching environment. This paper discusses our analysis techniques, and presents evidence that HMMs can be used to effectively determine students’ pattern of activities. The results indicate clear differences between different interventions, and links between students learning performance and their interactions with the system.