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Research and Application of AI-Enabled Education

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Data Science (ICPCSEE 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1880))

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Abstract

Artificial intelligence technology has developed rapidly in various fields and has been widely used. Education and teaching are also areas in which artificial intelligence is applied. Research on artificial intelligence-enabled (AI-enabled) education and teaching is emerging, such as educational data mining and intelligent assisted teaching systems. First, research on AI-enabled education is introduced, and then the differences between AI-enabled education and traditional education and cases of educational data mining, learning prediction, learning resource recommendation, and various intelligent-assisted teaching systems are analysed. Our existing research results and future development are proposed, such as research on online learning session dropout prediction and the design and implementation of the zhixin teaching assistance system. Finally, this paper concludes that artificial intelligence has been well integrated into education and teaching activities in various ways and has improved students’ learning experience and teachers’ teaching quality. AI-enabled education and teaching is efficient and will play an increasingly important role.

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Author information

Authors and Affiliations

  1. School of Computer and Information Technology, East China University of Science and Technology, Shanghai, 200237, China

    Zhanquan Wang, Yuxin Tian & Rui Chen

  2. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200241, China

    Linghe Kong

Authors
  1. Zhanquan Wang
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  2. Yuxin Tian
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  3. Rui Chen
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  4. Linghe Kong
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Corresponding author

Correspondence to Linghe Kong .

Editor information

Editors and Affiliations

  1. Harbin Engineering University, Harbin, China

    Zhiwen Yu

  2. Harbin Engineering University, Harbin, China

    Qilong Han

  3. Harbin Institute of Technology, Harbin, Heilongjiang, China

    Hongzhi Wang

  4. Northwestern Polytechnical University, Xi'an, China

    Bin Guo

  5. Shiga University, Shiga, Japan

    Xiaokang Zhou

  6. Harbin University of Science and Technology, Harbin, China

    Xianhua Song

  7. National Academy of Guo Ding Institute of Data Science, Beijing, China

    Zeguang Lu

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Wang, Z., Tian, Y., Chen, R., Kong, L. (2023). Research and Application of AI-Enabled Education. In: Yu, Z., et al. Data Science. ICPCSEE 2023. Communications in Computer and Information Science, vol 1880. Springer, Singapore. https://doi.org/10.1007/978-981-99-5971-6_30

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  • DOI: https://doi.org/10.1007/978-981-99-5971-6_30

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-5970-9

  • Online ISBN: 978-981-99-5971-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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