Adaptive Learning Based on Affect Sensing
| Autor: | Tsatsou, Dorothea, Pomazanskyi, Andrew, Hortal, Enrique, Spyrou, Evaggelos, Leligou, Helen C, Asteriadis, Stylianos, Vretos, Nicholas, Daras, Petros, Penstein, Rosé C. |
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| Přispěvatelé: | DKE Scientific staff, RS: FSE DACS |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
05 social sciences
050301 education 02 engineering and technology Affect (psychology) Learning experience Learning styles 020204 information systems 0202 electrical engineering electronic engineering information engineering Affective reaction Adaptive learning Psychology Adaptation (computer science) 0503 education Cognitive psychology |
| Zdroj: | Artificial Intelligence in Education. AIED 2018, 475-479 STARTPAGE=475;ENDPAGE=479;TITLE=Artificial Intelligence in Education. AIED 2018 Lecture Notes in Computer Science ISBN: 9783319938455 AIED (2) |
| ISSN: | 0302-9743 |
| DOI: | 10.1007/978-3-319-93846-2_89 |
| Popis: | This paper introduces an end-to-end solution for dynamic adaptation of the learning experience for learners of different personal needs, based on their behavioural and affective reaction to the learning activities. Personal needs refer to what learner already know, what they need to learn, their intellectual and physical capacities and their learning styles. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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