Exploring the potential of artificial intelligence in chemical engineering education / Nurul Asyikin Md Zaki, Syafiza Abd Hashib and Ummi Kalthum Ibrahim

Md Zaki, Nurul Asyikin and Abd Hashib, Syafiza and Ibrahim, Ummi Kalthum (2024) Exploring the potential of artificial intelligence in chemical engineering education / Nurul Asyikin Md Zaki, Syafiza Abd Hashib and Ummi Kalthum Ibrahim. Journal of Creative Practices in Language Learning and Teaching (CPLT), 12 (2). pp. 17-25. ISSN 1823-464X

Official URL: https://cplt.uitm.edu.my

Abstract

Chemical engineering education, traditionally grounded in rigorous theoretical instruction and hands-on laboratory experiences, stands on the edge of a transformative shift with the advent of Generative Artificial Intelligence (AI). This manuscript explores the potential of generative AI as a dynamic tool capable of producing innovative content tailored to enhance the learning experience in chemical engineering. This manuscript explores the integration of AI in education and its preliminary applications in creating complex simulations, diverse problem sets, and virtual experiments for chemical engineering students. Generative AI holds immense potential to reshape chemical engineering education, paving the way for a future that not only delivers education, but also dynamically crafts it to suit the unique needs of each learner. This work serves as a roadmap for educators, researchers, and policymakers eager to harness the power of AI to shape the next generation of chemical engineers.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Md Zaki, Nurul Asyikin
asyikin6760@uitm.edu.my
Abd Hashib, Syafiza
syafiza0358@uitm.edu.my
Ibrahim, Ummi Kalthum
ummi985@uitm.edu.my
Contributors:
Contribution
Name
Email / ID Num.
Chief Editor
Ibrahim, Zainuddin
macintag@uitm.edu.my
Subjects: L Education > LB Theory and practice of education > Educational technology
L Education > LB Theory and practice of education > Learning. Learning strategies
L Education > LB Theory and practice of education > Educational productivity
Divisions: Universiti Teknologi MARA, Kedah > Sg Petani Campus
Journal or Publication Title: Journal of Creative Practices in Language Learning and Teaching (CPLT)
UiTM Journal Collections: UiTM Journals > Journal of Creative Practices in Language Learning and Teaching (CPLT)
ISSN: 1823-464X
Volume: 12
Number: 2
Page Range: pp. 17-25
Keywords: Artificial intelligence, chemical engineering, engineering education, generative AI, learning experience
Date: 2024
URI: https://ir.uitm.edu.my/id/eprint/114443
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