Leveraging a Generative Artificial Intelligence Tool to Aid Engineering Research and Education in a Non-English-Speaking Country

Tossapon Katongtung,; Nakorn Tippayawong; Korrakot  Yaibuathet Tippayawong; Manuel Woschank

doi:10.1007/978-3-032-03722-0_8

Leveraging a Generative Artificial Intelligence Tool to Aid Engineering Research and Education in a Non-English-Speaking Country

Tossapon Katongtung,
, Nakorn Tippayawong
, Korrakot Yaibuathet Tippayawong
, Manuel Woschank

Chair of Industrial Logistics (601)

University of Chiang Mai
Chiang Mai University

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research

Abstract

This study explores the potential of a popular AI tool, ChatGPT, to enhance research capabilities in non-English-speaking countries, with a particular focus on Thailand. Language barriers and limited access to English-language resources often challenge researchers in these regions, impacting the quality and accessibility of their research. ChatGPT, as a versatile AI language model, offers a promising solution by providing substantial support in two critical areas: improving English grammar in research writing and accelerating the overall research writing process. By assisting Thai researchers in composing clear and accurate English-language texts, ChatGPT not only enhances the readability of research outputs but also reduces the time and effort required to complete a manuscript. This study assesses the role of ChatGPT in facilitating these improvements, underscoring its potential to bridge language gaps, foster greater research productivity, and support Thailand’s contributions to the global research community.

Original language	English
Title of host publication	Manufacturing 2030 - A Perspective to Future Challenges in Industrial Production - Proceedings of the 4th International Symposium on Industrial Engineering and Automation ISIEA 2025 and 18th EPIEM Conference 2025
Editors	Dominik T. Matt, Erwin Rauch, Patrick Dallasega, Luca Gualtieri, Matteo De Marchi
Publisher	Springer Nature, Schweiz
Pages	87-98
Number of pages	12
ISBN (Print)	9783032037213
DOIs	https://doi.org/10.1007/978-3-032-03722-0_8
Publication status	Published - 6 Oct 2025

Publication series

Name	Lecture Notes in Networks and Systems
Volume	1605 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

Keywords

academic writing
ChatGPT
coding
education 5.0
engineering research
expert systems

Access to Document

10.1007/978-3-032-03722-0_8

Cite this

Katongtung, T., Tippayawong, N., Yaibuathet Tippayawong, K., & Woschank, M. (2025). Leveraging a Generative Artificial Intelligence Tool to Aid Engineering Research and Education in a Non-English-Speaking Country. In D. T. Matt, E. Rauch, P. Dallasega, L. Gualtieri, & M. De Marchi (Eds.), Manufacturing 2030 - A Perspective to Future Challenges in Industrial Production - Proceedings of the 4th International Symposium on Industrial Engineering and Automation ISIEA 2025 and 18th EPIEM Conference 2025 (pp. 87-98). (Lecture Notes in Networks and Systems; Vol. 1605 LNNS). Springer Nature, Schweiz. https://doi.org/10.1007/978-3-032-03722-0_8

Katongtung, Tossapon ; Tippayawong, Nakorn ; Yaibuathet Tippayawong, Korrakot et al. / Leveraging a Generative Artificial Intelligence Tool to Aid Engineering Research and Education in a Non-English-Speaking Country. Manufacturing 2030 - A Perspective to Future Challenges in Industrial Production - Proceedings of the 4th International Symposium on Industrial Engineering and Automation ISIEA 2025 and 18th EPIEM Conference 2025. editor / Dominik T. Matt ; Erwin Rauch ; Patrick Dallasega ; Luca Gualtieri ; Matteo De Marchi. Springer Nature, Schweiz, 2025. pp. 87-98 (Lecture Notes in Networks and Systems).

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Katongtung, T, Tippayawong, N, Yaibuathet Tippayawong, K & Woschank, M 2025, Leveraging a Generative Artificial Intelligence Tool to Aid Engineering Research and Education in a Non-English-Speaking Country. in DT Matt, E Rauch, P Dallasega, L Gualtieri & M De Marchi (eds), Manufacturing 2030 - A Perspective to Future Challenges in Industrial Production - Proceedings of the 4th International Symposium on Industrial Engineering and Automation ISIEA 2025 and 18th EPIEM Conference 2025. Lecture Notes in Networks and Systems, vol. 1605 LNNS, Springer Nature, Schweiz, pp. 87-98. https://doi.org/10.1007/978-3-032-03722-0_8

Leveraging a Generative Artificial Intelligence Tool to Aid Engineering Research and Education in a Non-English-Speaking Country. / Katongtung, Tossapon; Tippayawong, Nakorn; Yaibuathet Tippayawong, Korrakot et al.
Manufacturing 2030 - A Perspective to Future Challenges in Industrial Production - Proceedings of the 4th International Symposium on Industrial Engineering and Automation ISIEA 2025 and 18th EPIEM Conference 2025. ed. / Dominik T. Matt; Erwin Rauch; Patrick Dallasega; Luca Gualtieri; Matteo De Marchi. Springer Nature, Schweiz, 2025. p. 87-98 (Lecture Notes in Networks and Systems; Vol. 1605 LNNS).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research

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Katongtung, T, Tippayawong N, Yaibuathet Tippayawong K, Woschank M. Leveraging a Generative Artificial Intelligence Tool to Aid Engineering Research and Education in a Non-English-Speaking Country. In Matt DT, Rauch E, Dallasega P, Gualtieri L, De Marchi M, editors, Manufacturing 2030 - A Perspective to Future Challenges in Industrial Production - Proceedings of the 4th International Symposium on Industrial Engineering and Automation ISIEA 2025 and 18th EPIEM Conference 2025. Springer Nature, Schweiz. 2025. p. 87-98. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-032-03722-0_8

Leveraging a Generative Artificial Intelligence Tool to Aid Engineering Research and Education in a Non-English-Speaking Country

Abstract

Publication series

Bibliographical note

Keywords

Access to Document

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Cite this