Comparative Analysis on AI usage to Support Students’ Future Work between Engineering and Education: Implications for Educational Practices

DOI

10.2991/978-94-6463-668-0_22How to use a DOI?

Keywords

AI usage; Engineering Students; Pre-Service Teacher; Comparative Analysis

Abstract

This study compares the use of artificial intelligence (AI) tools by engineering students and pre-service teachers, concentrating on their preferences and consequences for educational practices using comparative analysis approach. The study included engineering students from Yogyakarta and Gresik, as well as pre-service teachers from Malang, who took part in a statistics challenge requiring data categorization and analysis. According to the findings, engineering students prefer Chat GPT for its clear explanations, whereas pre-service teachers prefer Perplexity AI’s additional resources, such as YouTube links, improve their understanding of complex subjects. The study emphasizes that pre-service instructors need a deeper understanding of subjects in order to properly impart knowledge to their prospective pupils, causing them to rely less on AI for core understanding. In contrast, engineering students frequently use AI to finish assignments, focusing mostly on getting right answers rather than profound comprehension. Furthermore, the study found that not all students fully trust AI-generated answers, with many expressing doubts about the dependability of AI in educational settings. The findings suggest that educational procedures should be customized to the individual needs of diverse student groups, emphasizing the need of specialized mathematics training across disciplines. Overall, this study emphasizes the need for specialization of mathematics educators which able to modify their teaching practices in order to effectively distinct learning needs of each major who learn mathematics like, engineering students and pre-service teachers.

Copyright

© 2025 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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TY  - CONF
AU  - Rindu Alriavindra Funny
AU  - Wuli Oktiningrum
AU  - Nadya Husenti
PY  - 2025
DA  - 2025/03/31
TI  - Comparative Analysis on AI usage to Support Students’ Future Work between Engineering and Education: Implications for Educational Practices
BT  - Proceedings of the Adisutjipto Aerospace, Science and Engineering International Conference (AASEIC 2024)
PB  - Atlantis Press
SP  - 182
EP  - 189
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-668-0_22
DO  - 10.2991/978-94-6463-668-0_22
ID  - Funny2025
ER  -