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

被引:26
作者
Pham, Thanh [1 ]
Nguyen, Binh [1 ]
Ha, Son [1 ]
Ngoc, Thanh Nguyen [1 ]
机构
[1] RMIT Univ, Ho Chi Minh City, Vietnam
关键词
ChatGPT; generative AI; digital transformation; engineering education; AI-assisted learning; personalized learning; adaptive learning; ARTIFICIAL-INTELLIGENCE;
D O I
10.14742/ajet.8825
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
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.
引用
收藏
页码:1 / 19
页数:19
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