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Lintean, Mihai; Rus, Vasile; Azevedo, Roger – International Journal of Artificial Intelligence in Education, 2012
This article describes the problem of detecting the student mental models, i.e. students' knowledge states, during the self-regulatory activity of prior knowledge activation in MetaTutor, an intelligent tutoring system that teaches students self-regulation skills while learning complex science topics. The article presents several approaches to…
Descriptors: Semantics, Intelligent Tutoring Systems, Prior Learning, Mathematics
Rus, Vasile; Lintean, Mihai; Azevedo, Roger – International Working Group on Educational Data Mining, 2009
This paper presents several methods to automatically detecting students' mental models in MetaTutor, an intelligent tutoring system that teaches students self-regulatory processes during learning of complex science topics. In particular, we focus on detecting students' mental models based on student-generated paragraphs during prior knowledge…
Descriptors: Data Analysis, Prior Learning, Cognitive Structures, College Students
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Winters, Fielding I.; Azevedo, Roger – Journal of Educational Computing Research, 2005
Sixty-two high-school biology students, paired heterogeneously based on prior knowledge, learned about genetic using GenScope, a computer-based learning environment (CBLE), over four 90-minute class periods. Differences between low and high prior knowledge students emerged with convergence of verbal process data and pre- and post-test product…
Descriptors: High School Students, Computer Assisted Instruction, Prior Learning, Science Instruction