@inproceedings{c3fb3b26eca34546b840990779cb4a55,
title = "Using hidden markov models to characterize student behaviors in learning-by-teaching environments",
abstract = "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.",
keywords = "Behavior Analysis, Hidden Markov modeling, Learning by Teaching environments, Metacognition",
author = "Hogyeong Jeong and Amit Gupta and Rod Roscoe and John Wagster and Gautam Biswas and Daniel Schwartz",
note = "Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 9th International Conference on Intelligent Tutoring Systems, ITS 2008 ; Conference date: 23-06-2008 Through 27-06-2008",
year = "2008",
doi = "10.1007/978-3-540-69132-7_64",
language = "English (US)",
isbn = "3540691308",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "614--625",
booktitle = "Intelligent Tutoring Systems - 9th International Conference, ITS 2008, Proceedings",
}