Artificial Intelligence in Multimodal Learning Process Analytics
Theories, Methods and Applications
Seiten
2026
Edward Elgar Publishing Ltd (Verlag)
978-1-0353-5380-4 (ISBN)
Edward Elgar Publishing Ltd (Verlag)
978-1-0353-5380-4 (ISBN)
- Noch nicht erschienen (ca. April 2026)
- Versandkostenfrei
- Auch auf Rechnung
- Artikel merken
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.
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.
Andy Nguyen, Assistant 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
| Erscheint lt. Verlag | 28.4.2026 |
|---|---|
| Verlagsort | Cheltenham |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Themenwelt | Schulbuch / Wörterbuch ► Unterrichtsvorbereitung ► Unterrichts-Handreichungen |
| Informatik ► Datenbanken ► Data Warehouse / Data Mining | |
| Sozialwissenschaften ► Pädagogik | |
| Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung | |
| ISBN-10 | 1-0353-5380-6 / 1035353806 |
| ISBN-13 | 978-1-0353-5380-4 / 9781035353804 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
Ein verständlicher Einstieg mit Python
Buch | Softcover (2024)
O'Reilly (Verlag)
CHF 41,85
eine Einführung mit Python, Scikit-Learn und TensorFlow
Buch | Softcover (2024)
O'Reilly (Verlag)
CHF 27,85
