Digital transformation in engineering education: Exploring the potential of AI-assisted learning

Authors

  • Thanh Pham School of Science, Engineering and Technology,RMIT University Vietnam
  • Binh Nguyen The Business School, RMIT University Vietnam
  • Son Ha The Business School, RMIT University Vietnam
  • Thanh Nguyen Ngoc School of Science, Engineering and Technology, RMIT University Vietnam

DOI:

https://doi.org/10.14742/ajet.8825

Keywords:

ChatGPT, generative AI, digital transformation, engineering education, AI-assisted learning, personalized learning, adaptive learning

Abstract

This research explored the potential of artificial intelligence (AI)-assisted learning using ChatGPT in an engineering course at a university in South-east Asia. The study investigated the benefits and challenges that students may encounter when utilising ChatGPT-3.5 as a learning tool. This research developed an AI-assisted learning flow that empowers learners and lecturers to integrate ChatGPT into their teaching and learning processes. The flow was subsequently used to validate and assess a variety of exercises, tutorial tasks and assessment-like questions for the course under study. Introducing a self-rating system allowed the study to facilitate users in assessing the generative responses. The findings indicate that ChatGPT has significant potential to assist students; however, there is a necessity for training and offering guidance to students on effective interactions with ChatGPT. The study contributes to the evidence of the potential of AI-assisted learning and identifies areas for future research in refining the use of AI tools to better support students' educational journey.

Implications for practice or policy

  • Educators and administrators could review the usage of ChatGPT in an engineering technology course and study the implications of generative AI tools in higher education.
  • Academics could adapt and modify the proposed AI-assisted learning flow in this paper to suit their classroom.
  • Students can review and adopt the proposed AI-assisted learning flow in this paper for their studies.
  • Researchers could follow up on the application of ChatGPT in teaching and learning: teaching quality and student experience, academic integrity and assessment design.

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Published

2023-12-22

How to Cite

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.8825

Issue

Section

Themed issue 2023 - AI in tertiary education: impacts for research and practice