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After discussing the requirements for these models, the paper presents the particular techniques used to pre-process and learn from the data. The case study discusses the models learned based on data collected from student interactions on their own time and location. The paper concludes by discussing the application of the models and directions for future work. <\/jats:p>","DOI":"10.1142\/s0218213010000406","type":"journal-article","created":{"date-parts":[[2011,1,4]],"date-time":"2011-01-04T00:43:19Z","timestamp":1294101799000},"page":"733-753","source":"Crossref","is-referenced-by-count":13,"title":["MODELLING STUDENT INTERACTIONS IN INTELLIGENT LEARNING ENVIRONMENTS: CONSTRUCTING BAYESIAN NETWORKS FROM DATA"],"prefix":"10.1142","volume":"19","author":[{"given":"MANOLIS","family":"MAVRIKIS","sequence":"first","affiliation":[{"name":"London Knowledge Lab, 23-29 Emerald Street, London WC1N 3QS, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"rf1","volume-title":"Strategic Help Seeking Implications for Learning and Teaching","author":"Karabenick S. A.","year":"1988"},{"key":"rf2","unstructured":"M. R.\u00a0Lepper, Computers as Cognitive Tools, eds. S. 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