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Title: GPT MODELS IN HIGHER EDUCATION: CHALLENGES AND OPPORTUNITIES

Year

2024

BibTex Views:

195

Peer Reviewed

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Title

GPT MODELS IN HIGHER EDUCATION: CHALLENGES AND OPPORTUNITIES

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Authors

Karolina Rozek

DOI

10.5593/sgem2024/5.1/s22.881

DOI Issue

10.5593/sgem2024/5.1

ISSN

1314-2704

ISBN

978-619-7603-72-9

Language

English

Volume

Issue

5.1

Editor

• Prof. DSc. Oleksandr Trofymchuk, UKRAINE
• Prof. Dr. hab. oec. Baiba Rivza, LATVIA

Scientific Area

Education and Accreditation

Abstract/ Foreword

This article explores the challenges and opportunities presented by the integration of GPT (Generative Pre-trained Transformer) models in higher education. It examines the implications for teaching methodologies, student engagement, and the potential risks associated with the reliance on AI tools in academic settings. It highlights the benefits of AI in providing personalized, efficient and flexible learning environments, enhancing student engagement, and supporting individualized learning. However, it also addresses significant concerns regarding the potential oversimplification of academic tasks, the decline in students’ critical thinking skills, and the challenges educators face in effectively incorporating AI tools without causing distractions. The article emphasizes the need for a balanced approach in integrating AI into academic education, ensuring that technology enhances rather than undermines the learning experience, and aligns with contemporary educational demands. Future research directions are suggested to better understand the direct impacts of AI tools like ChatGPT on student learning and academic integrity.

References (click to open)

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[2] Khoso, F. J., Ali, N., & Aslam, N., Use of Chat-GPT and AI Tools by Undergraduates: Students and Teachers' Perspective, Educational Support Provision Offered Practices Spry Contemporary Educational Practices, 2023, 2(2), 215-238.
[3] Mitra, B., Cramer, H., & Gurevich, O., Sociotechnical implications of generative artificial intelligence for information access, arXiv, 2024, https://doi.org/10.48550/arXiv.2405.11612.
[4] Muhamad, W., Kurniawan, N. B., & Yazid, S., Smart campus features, technologies, and applications: A systematic literature review, 2017 International Conference on Information Technology Systems and Innovation (ICITSI), Indonesia, 2017, pp. 384-391, https://doi.org/10.1109/ICITSI.2017.8267961.
[5] Mustafa, M., Isa, M. R. M., Abdul Rauf, U. F., Ismail, M. N., Mohd Shukran, M. A., Khairuddin, M. A., Wahab, N., & Mohd Safar, N., Student perception study on smart campus: A case study on higher education institution, Malaysian Journal of Computer Science, Malaysia, 2021, 1-20, https://doi.org/10.22452/mjcs.sp2021no1.1.
[6] Niloy, A. C., Bari, M. A., Sultana, J., Chowdhury, R., Raisa, F. M., Islam, A., Mahmud, S., Jahan, I., Sarkar, M., Akter, S., Nishat, N., Afroz, M., Sen, A., Islam, T., Tareq, M. H., & Hossen, M. A., Why do students use ChatGPT? Answering through a triangulation approach, Computers and Education: Artificial Intelligence, 2024, 6, 100208, https://doi.org/10.1016/j.caeai.2024.100208.
[7] Sullivan, M., Kelly, A., & McLaughlan, P., ChatGPT in higher education: Considerations for academic integrity and student learning, Journal of Applied Learning & Teaching, 2023, 6(1), 1-10, https://doi.org/10.37074/jalt.2023.6.1.17.
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Acknowledgements (click to open)

Type

conference

Url

https://doi.org/10.5593/sgem2024/5.1/s22.881

Full manuscript

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Proceedings Тitle

Proceedings of 24th International Multidisciplinary Scientific GeoConference SGEM 2024

Note

24th International Multidisciplinary Scientific GeoConference SGEM 2024, 1 - 7 July, 2024

Type

Proceedings Paper

Publisher

STEF92 Technology

Series

International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM

Organization

SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Russian Acad Arts; Turkish Acad Sci.

Pages

729-734

Date

1 - 7 July, 2024

Online Source Type

website

Digital Source Type

10037

Keywords

GPT, Students, Higher education, Artificial intelligence, Smart Learning

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Title: GPT MODELS IN HIGHER EDUCATION: CHALLENGES AND OPPORTUNITIES

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