Artificial intelligence in multimodal learning process analytics : theories, methods and applications /
"In this book, Andy Nguyen, Kshitij Sharma and Ha Nguyen explain how AI can improve our understanding of how people learn. The authors demonstrate how, by analysing multimodal data from different channels, including eye gazes, physiological data and self-reports, AI can provide a clearer pictur...
| Main Authors: | , , |
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| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Cheltenham, UK ; Northampton, MA, USA :
Edward Elgar Publishing,
[2026]
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Part I: Introduction to multimodal learning process analytics
- Foundations of multimodal learning process analytics
- Theoretical frameworks in multimodal learning process analytics
- Ethical considerations for AI in multimodal learning process analytics
- Part II: AI-enhanced multimodal data collection and processing for capturing learning processes
- Collecting multimodal data to capture learning processes
- Preprocessing multimodal learning process data
- Part III: AI methods for analyzing multimodal data on learning processes
- Classical machine learning modeling
- Deep learning modelling
- Generative artificial intelligence methods for multimodal learning process analytics
- Part IV: Future directions and final remarks
- Future directions for multimodal learning process analytics
- Conclusion and final remarks.