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ERIC Number: EJ1413016
Record Type: Journal
Publication Date: 2023
Pages: 19
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1449-3098
EISSN: EISSN-1449-5554
Available Date: N/A
Digital Transformation in Engineering Education: Exploring the Potential of AI-Assisted Learning
Thanh Pham; Binh Nguyen; Son Ha; Thanh Nguyen Ngoc
Australasian Journal of Educational Technology, v39 n5 n1-19 2023
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.
Australasian Society for Computers in Learning in Tertiary Education. Ascilite Secretariat, P.O. Box 44, Figtree, NSW, Australia. Tel: +61-8-9367-1133; e-mail: info@ascilite.org.au; Web site: https://ajet.org.au/index.php/AJET
Publication Type: Journal Articles; Reports - Research; Tests/Questionnaires
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Asia
Grant or Contract Numbers: N/A
Author Affiliations: N/A