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Titlebook: Artificial Intelligence Supported Educational Technologies; Niels Pinkwart,Sannyuya Liu Book 2020 Springer Nature Switzerland AG 2020 Arti

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發(fā)表于 2025-3-21 18:27:48 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Artificial Intelligence Supported Educational Technologies
影響因子2023Niels Pinkwart,Sannyuya Liu
視頻videohttp://file.papertrans.cn/163/162140/162140.mp4
發(fā)行地址Provides cross-cultural perspectives on artificial intelligence applications in education.Offers contributions by distinguished researchers from computer science and learning science.Provides an broad
學(xué)科分類Advances in Analytics for Learning and Teaching
圖書封面Titlebook: Artificial Intelligence Supported Educational Technologies;  Niels Pinkwart,Sannyuya Liu Book 2020 Springer Nature Switzerland AG 2020 Arti
影響因子.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..?.
Pindex Book 2020
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發(fā)表于 2025-3-21 22:18:03 | 只看該作者
Non-distracting Feedback in Artificial Intelligence Supported Learningwe investigate how this “more in data” does not inevitably lead to a “more in distraction” at the interface. This becomes possible by analyzing intentional and non-intentional actions of the user or the environmental conditions to detect?– using artificial intelligence?– for instance, if the learner
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發(fā)表于 2025-3-22 03:30:22 | 只看該作者
Research on Human-Computer Cooperative Teaching Supported by?Artificial Intelligence Robot Assistant the online virtual robot assistant experience to the robot psychological and habit experience, and the robot application of educational situation relies on the design and implementation of human-computer cooperation mechanism. Human-computer collaborative gives full parts to the advantages of teach
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發(fā)表于 2025-3-22 07:24:01 | 只看該作者
A New Conceptual Framework for Measuring Online Listening in Asynchronous Discussion Forumsay attention to the visible aspect of interaction (online speaking, i.e., creating posts); little is known about online listening, the invisible one that refers to viewing existing posts. Online listening, often used interchangeably with reading and lurking, is an active, personally driven, and inse
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Can Sensors Effectively Support Learning?entered learning analytics, adaptive learning, and self-reflection. While the usage of physiological sensors for health applications has been thoroughly investigated, using sensors in a learning environment is very challenging, especially when sensors should be nonintrusive, not distracting from lea
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A Learning Attention Monitoring System via Photoplethysmogram Using Wearable Wrist Deviceshe attention level of every student in time, especially in online learning environments and large-scale physical classes. In this study, we propose a method for assessing students’ attention levels that uses a photoplethysmogram (PPG) signal measured by a wearable device, with an average accuracy of
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Personalized Citation Recommendation Using an Ensemble Model of DSSM and Bibliographic Informationcame a tedious and time-consuming task. Citation recommendation is considerably important to improve the efficiency and quality of literature search. It scales down the information overload in academia by using the content of the paper and citation information to automatically recommend papers relev
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