Classroom Teaching of Engineering Courses Assisted by Artificial Intelligence and Digital Twin Systems

Taking industrial robot technology course as an example

Authors

  • Yuxiaoying Tu
  • Wuyu Song

DOI:

https://doi.org/10.54097/7shc2606

Keywords:

Artificial Intelligence, Classroom Teaching, Digital Twin

Abstract

This paper explores the integration of Artificial Intelligence (AI) and Digital Twin systems in the classroom teaching of engineering courses, with a focus on the Industrial Robot Technology course1. It addresses the challenges of traditional practical teaching methods and proposes a new model that leverages AI and Digital Twin technology to enhance student engagement, improve learning outcomes, and better prepare students for the demands of the industry. The paper discusses the implementation of AI-assisted teaching, the creation of a ubiquitous teaching ecology, and the strengthening of vocational skills through digital twin.

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References

Walter, Y. Embracing the future of Artificial Intelligence in the classroom: the relevance of AI literacy, prompt engineering, and critical thinking in modern education. Int J Educ Technol High Educ 21, 15 (2024). https://doi.org/10.1186/s41239-024-00448-3W.-K. Chen, Linear Networks and Systems (Book style). Belmont, CA: Wadsworth, 1993, pp. 123–135.

Pham, T., Nguyen, T. B. ., Ha, S., & Nguyen Ngoc, N. T. (2023). Digital transformation in engineering education: Exploring the potential of AI-assisted learning. Australasian Journal of Educational Technology, 39(5), 1–19. https://doi.org/10.14742/ajet.8825B. Smith, “An approach to graphs of linear forms (Unpublished work style),” unpublished.

Chaudhry, M.A., Kazim, E. Artificial Intelligence in Education (AIEd): a high-level academic and industry note 2021. AI Ethics 2, 157–165 (2022). https://doi.org/10.1007/s43681-021-00074-z.

Diwanji, P., Hinkelmann, K., & Witschel, H. F. (2018, March). Enhance Classroom Preparation for Flipped Classroom using AI and Analytics. In ICEIS (1) (pp. 477-483).

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Published

16-06-2024

Issue

Section

Articles