Impacts of generative AI on engineering and product design students' performance

Bathaei Javareshk, M., Watkins, M., Jobling, P. ORCID: 0009-0009-0550-7963 and Siena, L. ORCID: 0000-0002-6908-7365, 2024. Impacts of generative AI on engineering and product design students' performance. In: E. Bohemia, L. Buck, H. Grierson, J. Kim, I. Storer and T. Whitehead, eds., DS 131: Proceedings of the International Conference on Engineering and Product Design Education (EPDE 2024). The Design Society, pp. 19-24. ISBN 9781912254200

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Abstract

There has been a growing interest in recent years on the use of artificial intelligence (AI) and computer science applications within the field of education. Previous systematic reviews and meta-analysis research has shown that use of AI and computer science can enhance students' performance in educational contexts. However, studies are mixed in their impressions of the use of Generative AI as a disruptive technology, with educators citing concerns over plagiarism and misuse of such technology by students. These tools represent a stark contrast to many traditional educational approaches and requires reshaping of assessments to ensure that learning outcomes can still be measured. Nevertheless, there is still a significant lack of studies examining the students’ perspectives on the use of these technologies and its impact on their academic performance. Therefore, the current paper aims to investigate how generative AI impacts upon product design and engineering students’ performance within educational contexts in the UK. Through the distribution of an online survey, the study aims to assess student’s attitudes, preferences, and challenges concerning the use of AI powered tools. Furthermore, it aims to capture valuable insights from students into how generative AI technologies can impact on various aspects of their academic achievement, learning outcomes, and engagement.

Item Type: Chapter in book
Description: Paper presented at 26th International Conference on Engineering and Product Design Education (E&PDE 2024), Aston University, Birmingham, 4-6 September 2024.
Creators: Bathaei Javareshk, M., Watkins, M., Jobling, P. and Siena, L.
Publisher: The Design Society
Date: 2024
ISBN: 9781912254200
Identifiers:
NumberType
10.35199/epde.2024.4DOI
2204631Other
Divisions: Schools > School of Architecture, Design and the Built Environment
Schools > School of Science and Technology
Record created by: Jonathan Gallacher
Date Added: 16 Sep 2024 10:11
Last Modified: 16 Sep 2024 10:11
Related URLs:
URI: https://irep.ntu.ac.uk/id/eprint/52217

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