Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)

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An Intelligent Tutoring System Enhancing Transdisciplinary Problem-finding in Design-led Integrated STEM Education

Authors
Ding Zhou1, *, Yongye Liu1, Jiawei Huang1, Yuyan Xiang1, Renxin Gu2, Bingjian Liu3
1School of System Design and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen, 518055, China
2High School Affiliated to Southern, University of Science and Technology, Shenzhen, 518109, China
3Department of Mechanical, Materials and Manufacturing Engineering, University of Nottingham Ningbo China, Ningbo, 315100, China
*Corresponding author. Email: zhoud3@sustech.edu.cn
Corresponding Author
Ding Zhou
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-040-4_142How to use a DOI?
Keywords
Integrated STEM education; Design-based pedagogy; Artificial intelligence; Adaptive tutoring; Personalised resource recommendation
Abstract

Globally, Industry 4.0 technologies' rapid development advances the rising role of design-led integrated STEM education in schools. However, the absence of problem-finding abilities among students may make it difficult to carry out the educational program. Adaptive learning with artificial intelligence (AI) can be used to construct and implement a learner-centred intelligent tutoring system, which will enable students to adapt and engage in relevant learning tasks by improving their transdisciplinary problem-finding skills and stocking authentic contextual information designs. In order to solve the research problem, this study explores three significant areas of information: 1) automatic construction of knowledge structures; 2) individual ability values and group classification; 3) adaptive recommendation of review content and assessment tasks. As a result, this study promotes the development of an intelligent tutoring technology framework containing data, algorithms, and services for integrated STEM, thereby enhancing a social atmosphere that values science and encourages innovation.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
27 December 2022
ISBN
978-94-6463-040-4
ISSN
2589-4900
DOI
10.2991/978-94-6463-040-4_142How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Ding Zhou
AU  - Yongye Liu
AU  - Jiawei Huang
AU  - Yuyan Xiang
AU  - Renxin Gu
AU  - Bingjian Liu
PY  - 2022
DA  - 2022/12/27
TI  - An Intelligent Tutoring System Enhancing Transdisciplinary Problem-finding in Design-led Integrated STEM Education
BT  - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
PB  - Atlantis Press
SP  - 943
EP  - 949
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-040-4_142
DO  - 10.2991/978-94-6463-040-4_142
ID  - Zhou2022
ER  -