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E-Learning, e-Education, and Online Training : 9th EAI International Conference, ELEOT 2023, Yantai, China, August 17-18, 2023, Proceedings, Part II / / edited by Guan Gui, Ying Li, and Yun Lin



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Titolo: E-Learning, e-Education, and Online Training : 9th EAI International Conference, ELEOT 2023, Yantai, China, August 17-18, 2023, Proceedings, Part II / / edited by Guan Gui, Ying Li, and Yun Lin Visualizza cluster
Pubblicazione: Cham, Switzerland : , : ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, , [2024]
©2024
Edizione: First edition.
Descrizione fisica: 1 online resource (335 pages)
Disciplina: 371.33
Soggetto topico: Educational technology
Internet in higher education
Persona (resp. second.): GuiGuan
LiYing
LinYun
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: AI based Educational Modes and Method Educational Information Retrieval Method for Innovative Entrepreneurship Training of Accounting Talents Based on Deep Learning -- Evaluation Method of Online Teaching Effect of Chinese Painting Art Appreciation Course in Colleges and Universities Based on Machine Learning Model -- Evaluation Method of Online Education Quality of E-commerce Course in Higher Vocational Education Based on Machine Learning Model -- On Line Teaching Data Classification Method for Ramp Control Specialty in Universities Based on Machine Learning Model -- Evaluation Method of English Online Education Effect Based on Machine Learning Algorithm -- Research on Enterprise Education Information Retrieval Model Based on Machine Learning -- The Detection of English Students’ Classroom Learning State in Higher Vocational Colleges Based on Improved SSD Algorithm -- A Recommended Method for Teaching Information Resources of English Chinese Translation Based on Deep Learning -- Attitude Target Tracking of Kabadi Athletes Based on Machine Learning -- Personalized Recommendation of English Chinese Translation Teaching Information Resources Based on Transfer Learning -- Research on Evaluation Method of Medical Rehabilitation Teaching Quality Based on Historical Big Data Decision Tree Classification -- A Method for Identifying Abnormal Behaviors in College English Smart Classroom Teaching Based on Deep Learning -- Design of Teaching Resources Sharing Method for Economics Major Based on Federal Learning -- A Method of Identifying the Difficulty of College Piano Teaching Music Score Based on SVM Algorithm -- Personalized Recommendation Method of Online Education Resources for Tourism Majors Based on Machine Learning -- Automatic Classification and Sharing of Teaching Resources in English Online Teaching System Based on SVM -- Data Association Mining Method of Vocational College Students’ Employment Education Based on Machine Learning Model -- A Personalized Course Content Pushing Method Based on Machine Learning for Online Teaching of English Translation -- A Method for Detecting False Pronunciation in Japanese Online Teaching -- A Key Frame Extraction Algorithm for Physical Education Teaching Video Based on Compressed Domain -- Interactive Design Method of Multi Person VR Distance Education for New Media Art Teaching.
Sommario/riassunto: This four-volume set constitutes the post-conference proceedings of the 9th EAI International Conference on e-Learning, e-Education, and Online Training, eLEOT 2023, held in Yantai, China, during August 17-18, 2023. The 104 full papers presented were selected from 260 submissions. The papers reflect the evolving landscape of education in the digital age. They were organized in topical sections as follows: IT promoted teaching platforms and systems; AI based educational modes and methods; automatic educational resource processing; educational information evaluation.
Titolo autorizzato: E-Learning, e-Education, and Online Training  Visualizza cluster
ISBN: 3-031-51468-8
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910800122203321
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Serie: Lecture notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering ; ; Volume 544.