About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Multimedia Technology and Enhanced Learning. 5th EAI International Conference, ICMTEL 2023, Leicester, UK, April 28-29, 2023, Proceedings, Part IV

Research Article

A Summary of the Research Methods of Artificial Intelligence in Teaching

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-50580-5_15,
        author={Huiyao Ge and Xiaoxiao Zhu and Xiaoyan Jiang},
        title={A Summary of the Research Methods of Artificial Intelligence in Teaching},
        proceedings={Multimedia Technology and Enhanced Learning. 5th EAI International Conference, ICMTEL 2023, Leicester, UK, April 28-29, 2023, Proceedings, Part IV},
        proceedings_a={ICMTEL PART 4},
        year={2024},
        month={2},
        keywords={Artificial intelligence Education Virtual Reality (VR) Affective computing Resource matching Learning path},
        doi={10.1007/978-3-031-50580-5_15}
    }
    
  • Huiyao Ge
    Xiaoxiao Zhu
    Xiaoyan Jiang
    Year: 2024
    A Summary of the Research Methods of Artificial Intelligence in Teaching
    ICMTEL PART 4
    Springer
    DOI: 10.1007/978-3-031-50580-5_15
Huiyao Ge1, Xiaoxiao Zhu1, Xiaoyan Jiang1,*
  • 1: School of Mathematics and Information Science, Nanjing Normal University of Special Education
*Contact email: jxy@njts.edu.cn

Abstract

With modern technology developing rapidly, “Artificial Intelligence” becomes a hot word of the times. The integration of the development of information technology and artificial intelligence provides an opportunity for education optimization. This article briefly reviews the application of artificial intelligence in teaching from four aspects: learning environment creation, learning data analysis, learning resource matching, and learning path intervention. Through the creation of learning environment, it can broaden the learning dimension and help students to learn immersive. Through intelligent analysis such as multimodal data mining and affective computing learning analysis, it can identify students’ emotional feedback for a certain content and help teachers adjust teaching content and progress with strong pertinence. Learning resource matching technology helps to match learning resources according to students’ personality characteristics and appearance differences. Teachers can carry out learning path intervention for different students and help students to adjust their learning paths and consolidate knowledge learning. Some future research directions are proposed for some research methods. This will help relevant researchers to grasp the research in this field as a whole and play an important role in promoting the application and development of artificial intelligence in the field of education.

Keywords
Artificial intelligence Education Virtual Reality (VR) Affective computing Resource matching Learning path
Published
2024-02-21
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-50580-5_15
Copyright © 2023–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL