Artificial Intelligence in Multimodal Learning Process Analytics : Theories, Methods and Applications.

Format:

Book

Author/Creator:

Nguyen, Andy.

Contributor:

Edward Elgar Publishing, publisher.

Language:

English

Subjects (All):

Artificial intelligence.

Multimodal user interfaces (Computer systems).

Physical Description:

1 online resource (208 pages)

Edition:

1st ed.

Place of Publication:

Northampton : Edward Elgar Publishing, 2026.

Summary:

In this cutting-edge 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 picture of what learners think, feel, and do.

Contents:

Contents: Preface

Part I: Introduction to multimodal learning process analytics

1. Foundations of multimodal learning process analytics

2. Theoretical frameworks in multimodal learning process analytics

3. Ethical considerations for AI in multimodal learning process analytics

Part II: AI-enhanced multimodal data collection and processing for capturing learning processes

4. Collecting multimodal data to capture learning processes

5. Preprocessing multimodal learning process data

Part III: AI methods for analyzing multimodal data on learning processes

6. Classical machine learning modeling

7. Deep learning modelling

8. Generative artificial intelligence methods for multimodal learning process analytics

Part IV: Future directions and final remarks

9. Future directions for multimodal learning process analytics

10. Conclusion and final remarks

Bibliography.

Notes:

Includes bibliographical references.

Creative Commons Attribution - NonCommercial - NoDerivatives 4.0 International CC BY-NC-ND 4.0 cc https://creativecommons.org/licenses/by-nc-nd/4.0/

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Part of the metadata in this record was created by AI, based on the text of the resource.

ISBN:

9781035353811

OCLC:

1593181762