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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

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Guan Gui

    1. Nanjing University of Posts and Telecommunications, Nanjing, China

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  2. Ying Li

    1. Yantai University, Yantai, China

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    You can also search for this editor in PubMed   Google Scholar

  3. Yun Lin

    1. Institute of High Performance Computing, Fusionopolis, Singapore

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Included in the following conference series:

Conference proceedings info: eLEOT 2023.

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Table of contents (21 papers)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. AI Based Educational Modes and Methods

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Educational Information Retrieval Method for Innovative Entrepreneurship Training of Accounting Talents Based on Deep Learning

      • Fang Chen, Yong Zhang
      Pages 3-18

    3. Evaluation Method of Online Teaching Effect of Chinese Painting Art Appreciation Course in Colleges and Universities Based on Machine Learning Model

      • Yushun Chen, Qian Zhao
      Pages 19-34

    4. Evaluation Method of Online Education Quality of E-Commerce Course in Higher Vocational Education Based on Machine Learning Model

      • Shanyu Gu, Ning Ding, Yiwen Chen
      Pages 35-50

    5. On Line Teaching Data Classification Method for Ramp Control Specialty in Universities Based on Machine Learning Model

      • Miao Guo, Jiaxiu Han
      Pages 51-64

    6. Evaluation Method of English Online Education Effect Based on Machine Learning Algorithm

      • Lihua Jian
      Pages 65-78

    7. Research on Enterprise Education Information Retrieval Model Based on Machine Learning

      • Cong Li, Yuan Zhou, Chengjie Li, Jun Liu
      Pages 79-95

    8. The Detection of English Students’ Classroom Learning State in Higher Vocational Colleges Based on Improved SSD Algorithm

      • Jie Liu
      Pages 96-111

    9. A Recommended Method for Teaching Information Resources of English Chinese Translation Based on Deep Learning

      • Zhiyong Luo, Pengran Zhang
      Pages 112-125

    10. Attitude Target Tracking of Kabadi Athletes Based on Machine Learning

      • Li Wang
      Pages 126-139

    11. Personalized Recommendation of English Chinese Translation Teaching Information Resources Based on Transfer Learning

      • Wei Wang, Wei Guan
      Pages 140-156

    12. Research on Evaluation Method of Medical Rehabilitation Teaching Quality Based on Historical Big Data Decision Tree Classification

      • Jian Xiang, Yujuan Peng
      Pages 157-174

    13. A Method for Identifying Abnormal Behaviors in College English Smart Classroom Teaching Based on Deep Learning

      • Dandan Xu
      Pages 175-188

    14. Design of Teaching Resources Sharing Method for Economics Major Based on Federal Learning

      • Hui Yang, Tingting Li
      Pages 189-205

    15. A Method of Identifying the Difficulty of College Piano Teaching Music Score Based on SVM Algorithm

      • Jing Yang, Ying Zhou
      Pages 206-221

    16. Personalized Recommendation Method of Online Education Resources for Tourism Majors Based on Machine Learning

      • Songting Zhang, Jufen Diao
      Pages 222-235

    17. Automatic Classification and Sharing of Teaching Resources in English Online Teaching System Based on SVM

      • Dan Zhao, Hui Dong
      Pages 236-251

    18. Data Association Mining Method of Vocational College Students’ Employment Education Based on Machine Learning Model

      • Linxi Zhou
      Pages 252-267

    19. A Personalized Course Content Pushing Method Based on Machine Learning for Online Teaching of English Translation

      • Wei Zhou, Juanjuan Zhang
      Pages 268-280
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Other volumes

  1. e-Learning, e-Education, and Online Training

  2. e-Learning, e-Education, and Online Training

  3. e-Learning, e-Education, and Online Training

  4. e-Learning, e-Education, and Online Training

Keywords

About this book

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.

Editors and Affiliations

  • Nanjing University of Posts and Telecommunications, Nanjing, China

    Guan Gui

  • Yantai University, Yantai, China

    Ying Li

  • Institute of High Performance Computing, Fusionopolis, Singapore

    Yun Lin

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