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Rajendran, Ramkumar; Iyer, Sridhar; Murthy, Sahana – IEEE Transactions on Learning Technologies, 2019
The importance of affective states in learning has led many Intelligent Tutoring Systems (ITS) to include students' affective states in their learner models. The adaptation and hence the benefits of an ITS can be improved by detecting and responding to students' affective states. In prior work, we have created and validated a theory-driven model…
Descriptors: Feedback (Response), Individualized Instruction, Intelligent Tutoring Systems, Psychological Patterns
Kiili, Kristian; Ketamo, Harri – IEEE Transactions on Learning Technologies, 2018
Even though digital learning games have become common in education, relatively little is known about the usefulness of game-based assessment. This paper aims to explore if a game-based math test can provide added value to math education with respect to cognitive and affective outcomes. We used in-game measures, embedded in the game called Semideus…
Descriptors: Mathematics Tests, Outcomes of Education, Fractions, Grade 6
Schouten, Dylan G. M.; Venneker, Fleur; Bosse, Tibor; Neerincx, Mark A.; Cremers, Anita H. M. – IEEE Transactions on Learning Technologies, 2018
In this study, we investigate if a digital coach for low-literate learners that provides cognitive learning support based on scaffolding can be improved by adding affective learning support based on motivational interviewing, and social learning support based on small talk. Several knowledge gaps are identified: motivational interviewing and small…
Descriptors: Educational Technology, Technology Uses in Education, Electronic Learning, Program Design