Proceedings of the International Conference on Innovation & Entrepreneurship in Computing, Engineering & Science Education (InvENT 2024)

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Integrating Gen-AI in Authentic Scenario-Based Assessment for Sustainable Chemical Engineering Education

Authors
Nurul Asyikin Md Zaki1, *, Syafiza Abd Hashib1, Noorsuhana Mohd Yusof1, Ummi Kalthum Ibrahim1
1School of Chemical Engineering, College of Engineering, Universiti Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia
*Corresponding author. Email: asyikin6760@uitm.edu.my
Corresponding Author
Nurul Asyikin Md Zaki
Available Online 1 December 2024.
DOI
10.2991/978-94-6463-589-8_21How to use a DOI?
Keywords
Generative AI; Authentic Scenario-Based Assessment; Chemical Engineering Education; Sustainability; Future-Proof Assessment
Abstract

This paper explores the integration of generative AI-assisted authentic scenario-based assessment in chemical engineering education, emphasizing sustainability and future-proofing the learning process. Traditional assessment methods often fall short in preparing students for real-world engineering challenges due to their focus on theoretical knowledge and rote memorization. In contrast, this innovative assessment approach aims to enhance student engagement, learning outcomes, and skill development by aligning educational practices with industry standards and incorporating advanced technologies. The feedback from an innovation pitching project assessment was analyzed, revealing high levels of student engagement, improved understanding of practical applications, and significant skill enhancement through the use of AI tools and real-world scenarios. The findings indicate that such assessments can effectively prepare students for the dynamic demands of the modern engineering industry, fostering the development of adaptable, skilled, and ethically aware engineers.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Innovation & Entrepreneurship in Computing, Engineering & Science Education (InvENT 2024)
Series
Advances in Computer Science Research
Publication Date
1 December 2024
ISBN
978-94-6463-589-8
ISSN
2352-538X
DOI
10.2991/978-94-6463-589-8_21How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Nurul Asyikin Md Zaki
AU  - Syafiza Abd Hashib
AU  - Noorsuhana Mohd Yusof
AU  - Ummi Kalthum Ibrahim
PY  - 2024
DA  - 2024/12/01
TI  - Integrating Gen-AI in Authentic Scenario-Based Assessment for Sustainable Chemical Engineering Education
BT  - Proceedings of the International Conference on Innovation & Entrepreneurship in Computing, Engineering & Science Education (InvENT 2024)
PB  - Atlantis Press
SP  - 209
EP  - 218
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-589-8_21
DO  - 10.2991/978-94-6463-589-8_21
ID  - Zaki2024
ER  -