Abstract
Results of an evaluation of students' attitudes and their relationship to student behaviors within a tutoring system are presented. Starting from a correlation analysis that integrates survey-collected student attitudes, learning variables, and behaviors while using the tutor, we constructed a Bayesian Network that infers attitudes and perceptions towards help and the tutoring system. © Springer-Verlag 2004.
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CITATION STYLE
Arroyo, I., Murray, T., Woolf, B. P., & Beal, C. (2004). Inferring unobservable learning variables from students’ help seeking behavior. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3220, 782–784. https://doi.org/10.1007/978-3-540-30139-4_74
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