Modelization of cognition, activity and motivation as indicators for Interactive Learning Environment
| Autor: | Khadija Douzi, Faddoul Khoukhi, Asmaa Darouich |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Cognitive science
Motivation Knowledge management Navigation traces Physics and Astronomy (miscellaneous) business.industry lcsh:T 0206 medical engineering Cognition 02 engineering and technology 020601 biomedical engineering Interactive learning environment lcsh:Technology Activity Management of Technology and Innovation 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing lcsh:Q Psychology business lcsh:Science Engineering (miscellaneous) |
| Zdroj: | Advances in Science, Technology and Engineering Systems, Vol 2, Iss 3, Pp 520-531 (2017) |
| ISSN: | 2415-6698 |
| Popis: | In Interactive Learning Environment (ILE), the cognitive activity and behavior of learners are the center of the researchers’ concerns. The improvement of learning through combining these axes as a structure of indicators for well-designed learning environment, encloses the measurement of the educational activity as a part of the learning process. In this paper, we propose a mathematical modeling approach based on learners actions to estimate the cognitive activity, learning behavior and motivation, in accordance with a proposed course content structure. This Cognitive indicator includes the study of knowledge, memory and reasoning. While, activity indicator aims to study effort, resistance and intensity. The results recovered on a sample of students with different levels of education, assume that the proposed approach presents a relation among all these indicators which is relatively reliable in the term of cognitive system. |
| Databáze: | OpenAIRE |
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