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Roelle, Julian; Schmidt, Elisabeth Marie; Buchau, Alica; Berthold, Kirsten – Journal of Educational Psychology, 2017
Learners often insufficiently monitor their comprehension, which results in overconfident judgments of learning and underachievement. In the 3 present experiments, we investigated whether insufficient comprehension monitoring is due in part to the fact that learners are not sufficiently aware of the benefit of comprehension monitoring and thus…
Descriptors: Comprehension, Progress Monitoring, Student Attitudes, College Students
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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
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Hatsidimitris, George; Kalyuga, Slava – Educational Technology Research and Development, 2013
Learning with instructional animations may overstretch limited working memory resources due to intense processing demands associated with transient information. The authors investigated whether explicit instructional advice coupled with a task-specific learner control mechanism (such as a timeline scrollbar) could facilitate the successful…
Descriptors: Animation, Computer Assisted Instruction, Prior Learning, Learner Controlled Instruction
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Greene, Jeffrey Alan; Costa, Lara-Jeane; Robertson, Jane; Pan, Yi; Deekens, Victor M. – Computers & Education, 2010
Researchers and educators continue to explore how to assist students in the acquisition of conceptual understanding of complex science topics. While hypermedia learning environments (HLEs) afford unique opportunities to display multiple representations of these often abstract topics, students who do not engage in self-regulated learning (SRL) with…
Descriptors: Intelligence, Structural Equation Models, Science Achievement, Prior Learning