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Titlebook: Artificial Intelligence in Education: Emerging Technologies, Models and Applications; Proceedings of 2021 Eric C. K. Cheng,Rekha B. Koul,X

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期刊全稱Artificial Intelligence in Education: Emerging Technologies, Models and Applications
期刊簡稱Proceedings of 2021
影響因子2023Eric C. K. Cheng,Rekha B. Koul,Xinguo Yu
視頻videohttp://file.papertrans.cn/163/162453/162453.mp4
發(fā)行地址A timely publication that is responsive to the evolving education landscape under COVID-19 pandemic.Brings together scholars to discuss future use of AI in education.Presents research from diverse aca
學(xué)科分類Lecture Notes on Data Engineering and Communications Technologies
圖書封面Titlebook: Artificial Intelligence in Education: Emerging Technologies, Models and Applications; Proceedings of 2021 Eric C. K. Cheng,Rekha B. Koul,X
影響因子.This edited book is a collection of selected research papers presented at the 2021 2nd International Conference on Artificial Intelligence in Education Technology (AIET 2021), held in Wuhan, China on July 2-4, 2021. AIET establishes a platform for AI in education researchers to present research, exchange innovative ideas, propose new models, as well as demonstrate advanced methodologies and novel systems. Rapid developments in artificial intelligence (AI) and the disruptive potential of AI in educational use has drawn significant attention from the education community in recent years. For educators entering this uncharted territory, many theoretical and practical questions concerning AI in education are raised, and issues on AI’s technical, pedagogical, administrative and socio-cultural implications are being debated...The book provides a comprehensive picture of the current status, emerging trends, innovations, theory, applications, challenges and opportunities of currentAI in education research. This timely publication is well-aligned with UNESCO’s Beijing Consensus on Artificial Intelligence (AI) and Education. It is committed to exploring how best to prepare our students and h
Pindex Conference proceedings 2022
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A Virtual Grasping Method of Dexterous Virtual Hand Based on Leapmotion grasping method, which enables users to use a dexterous virtual hand as the avatar in the virtual environment without finger tracking to reach and grasp digital 3D objects naturally. In this paper, the specific description of our proposed method is given, and the preliminary verification results sh
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Performance Evaluation of Azure Kinect and Kinect 2.0 and Their Applications in 3D Key-Points Detectformance of Azure Kinect is better than Kinect 2.0 in acquiring depth data at different distances; (3) In terms of human 3D key-points detection accuracy, the difference between Kinect 2.0 and Azure Kinect is not big; Under the condition that the detected people are occluded, the detection effect of
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2367-4512 in education research. This timely publication is well-aligned with UNESCO’s Beijing Consensus on Artificial Intelligence (AI) and Education. It is committed to exploring how best to prepare our students and h978-981-16-7529-4978-981-16-7527-0Series ISSN 2367-4512 Series E-ISSN 2367-4520
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