Artificial Intelligence Supported Educational Technologies / Advances in Analytics for Learning and Teaching (PDF)
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This book includes a collection of expanded papers from the 2019 Sino-German Symposium on AI-supported educational technologies, which was held in Wuhan, China, March, 2019. The contributors are distinguished researchers from computer science and learning science.
The contributions are organized in four sections: (1) Overviews and systematic perspectives , (2) Example Systems,(3) Algorithms, and (4) Insights gained from empirical studies. For example, different data mining and machine learning methods to quantify different profiles of a learner in different learning situations (including interaction patterns, cognitive modes, knowledge skills, interests and emotions etc.) as well as connections to measurements in psychology and learning sciences are discussed in the chapters.
- Provides cross-cultural perspectives on artificial intelligence applications in education
- Offers contributions by distinguished researchers from computer science and learning science
- Provides an broad view on both systems/algorithms and educational aspects of current challenges in AI-supported educational technologies
Sannyuya Liu has been a professor and the executive deputy director in National Engineering Research Center for E-learning (NERCEL), Central China Normal University (CCNU) since 2006. He received the Ph.D. degree in systems engineering from Huazhong University of Science and Technology (HUST), Wuhan, China, in 2003. His research interests include educational data mining, AI in education, ICT in education, educational technology, etc. To date, he has published more than 100 peer-reviewed articles, 7 books, and more than 30 national invention patents. He has also led many National Key R&D Projects of China on Personalized Learning and Intelligent Tutoring Technologies, e.g. he has been funded by National Natural Science Foundation
- 2020, 1st ed. 2020, 297 Seiten, Englisch
- Herausgegeben: Niels Pinkwart, Sannyuya Liu
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3030410994
- ISBN-13: 9783030410995
- Erscheinungsdatum: 29.04.2020
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- Größe: 10 MB
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