A Framework for AI-Powered Decision Making in Developing Adaptive e-Learning Systems to Impact Learners' Emotional Responses-Reference-Cited by-同舟云学术

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A Framework for AI-Powered Decision Making in Developing Adaptive e-Learning Systems to Impact Learners' Emotional Responses

Published:2024-02-27 Issue: Volume:1 Page:1-6
ISSN:
Container-title:2024 11th International and the 17th National Conference on E-Learning and E-Teaching (ICeLeT)
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Author:

Darejeh Ali¹,Moghadam Tayebeh Sargazi²,Delaramifar Mansoureh³,Mashayekh Sara⁴

Affiliation:

1. UNSW,Faculty of engineering,Sydney,Australia

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

3. Farhangian University of Tehran,Faculty of English Language and Literature,Tehran,Iran

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

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10493069/10493059/10493103.pdf?arnumber=10493103

Reference22 articles.

1. An Intelligent Web Teacher System for Learning Personalization;Capuano,2002

2. e-Learning: a model and process proposal;Giovannina;Int J Know1 Learn,2006

3. Service-Oriented E-Learning Platforms: From Monolithic Systems to Flexible Services

4. On the relation between motivation and retention in educational contexts: The role of intentional and unintentional mind wandering

5. Affective e-Learning: Using “Emotional” Data to Improve Learning in Pervasive Learning Environment;Shen;Journal of Educational Technology & Society,2009

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