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Järvelä, Sanna; Gaševic, Dragan; Seppänen, Tapio; Pechenizkiy, Mykola; Kirschner, Paul A. – British Journal of Educational Technology, 2020
Collaborative learning (CL) can be a powerful method for sharing understanding between learners. To this end, strategic regulation of processes, such as cognition and affect (including metacognition, emotion and motivation) is key. Decades of research on self-regulated learning has advanced our understanding about the need for and complexity of…
Descriptors: Artificial Intelligence, Man Machine Systems, Affective Behavior, Cognitive Processes
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du Boulay, Benedict; Avramides, Katerina; Luckin, Rosemary; Martinez-Miron, Erika; Rebolledo-Mendez, Genaro; Carr, Amanda – International Journal of Artificial Intelligence in Education, 2010
This paper describes a Conceptual Framework underpinning "Systems that Care" in terms of educational systems that take account of motivation, metacognition and affect, in addition to cognition. The main focus is on "motivation," as learning requires the student to put in effort and be engaged, in other words to be motivated to learn. But…
Descriptors: Learning Motivation, Metacognition, Affective Behavior, Schemata (Cognition)
McLeod, Douglas B. – 1986
The paper discusses the affective influences on students of problem solving instruction using computers, and the relationship of affective influences to student belief systems. It reviews affective issues and problem solving, and analyzes affect with particular reference to the work of G. Mandler. The paper considers types of congnitive processes,…
Descriptors: Affective Behavior, Beliefs, Cognitive Processes, College Mathematics