Toward an artificial intelligence-based decision framework for developing adaptive e-learning systems to impact learners’ emotions-Reference-Cited by-同舟云学术

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Toward an artificial intelligence-based decision framework for developing adaptive e-learning systems to impact learners’ emotions

Published:2023-03-23 Issue: Volume: Page:1-21
ISSN:1049-4820
Container-title:Interactive Learning Environments
language:en
Short-container-title:Interactive Learning Environments

Author:

Sargazi Moghadam Tayebeh¹,Darejeh Ali²,Delaramifar Mansoureh³,Mashayekh Sara⁴

Affiliation:

1. Faculty of Statistics, Mathematics and Computer Science, University of Sistan and Baluchestan, Zahedan, Iran

2. School of Computer Science and Engineering, Faculty of Engineering, UNSW, Sydney, Australia

3. Faculty of English Language and Literature, University of Sistan and Baluchestan, Zahedan, Iran

4. School of Education, Faculty of Arts, Design and Architecture, UNSW, Sydney, Australia

Publisher

Informa UK Limited

Subject

Computer Science Applications,Education

Link

https://www.tandfonline.com/doi/pdf/10.1080/10494820.2023.2188398

Reference60 articles.

1. Hierarchical optimization of personalized experiences for e-Learning systems through evolutionary models

2. Exploring e-Learning Knowledge Through Ontological Memetic Agents

3. E-learning: a model and process proposal

4. A new emotion–based affective model to detect student’s engagement

5. Affective database for e-learning and classroom environments using Indian students’ faces, hand gestures and body postures

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3. A Framework for AI-Powered Decision Making in Developing Adaptive e-Learning Systems to Impact Learners' Emotional Responses;2024 11th International and the 17th National Conference on E-Learning and E-Teaching (ICeLeT);2024-02-27

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