Artificial Intelligence in Multimodal Learning Process Analytics

Theories, Methods and Applications

Inbunden, Engelska, 2026

1 567 kr

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Beskrivning

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, going far beyond traditional tests or surveys.The authors introduce both classical and deep learning methods for collecting and analyzing data, with a particular focus on multimodal learning process analytics. They explore how large language models and generative AI tools can facilitate human-AI collaboration, while addressing ethical and privacy issues such as fairness, transparency and inclusivity. Integrating theoretical, methodological, and practical perspectives, authors demonstrate how using AI responsibly and thoughtfully can create more inclusive, adaptive and evidence-based learning environments.Artificial Intelligence in Multimodal Learning Process Analytics is a vital reference for scholars and students of learning sciences and pedagogy, particularly those focusing on educational technology, learning analytics and human-computer interaction. It is also highly beneficial for educators and educational policymakers interested in how AI can support learning.

Produktinformation

Utgivningsdatum:2026-05-22
Mått:156 x 234 x undefined mm
Format:Inbunden
Språk:Engelska
Förlag:Edward Elgar Publishing Ltd
ISBN:9781035353804

Utforska kategorier

Mer om författaren

Andy Nguyen, Associate Professor, Learning and Educational Technology (LET) Research Lab, University of Oulu, Finland, Kshitij Sharma, Associate Professor, Norwegian University of Science and Technology, Norway and Ha Nguyen, Assistant Professor, Learning Sciences and Psychological Studies, University of North Carolina at Chapel Hill, USA

Recensioner i media

‘Andy Nguyen, Kshitij Sharma and Ha Nguyen have written a clear, thoughtful, and practical introduction to a cutting-edge direction in education research. Multimodal learning processing analytics holds tremendous potential to revolutionize how we understand and support learning, and this book can turn the curious newcomer into a knowledgeable explorer of these techniques.’

Innehållsförteckning

ContentsPreface PART I INTRODUCTION TO MULTIMODAL LEARNINGPROCESS ANALYTICS1 Foundations of multimodal learning process analytics 2 Theoretical frameworks in multimodal learning processanalytics 3 Ethical considerations for AI in multimodal learning processanalytics PART II AI-ENHANCED MULTIMODAL DATACOLLECTION AND PROCESSING FORCAPTURING LEARNING PROCESSES4 Collecting multimodal data to capture learning processes 5 Preprocessing multimodal learning process dataPART III AI METHODS FOR ANALYZING MULTIMODALDATA ON LEARNING PROCESSES6 Classical machine learning modeling 7 Deep learning modelling 8 Generative artificial intelligence methods for multimodallearning process analytics PART IV FUTURE DIRECTIONS AND FINAL REMARKS9 Future directions for multimodal learning process analytics 10 Conclusion and final remarks Bibliography