The Impact of Artificial Intelligence on Education


1Isa Erbas, 2Eduina Maksuti
1University College "Beder", Albania
2University "Aleksandër Moisiu", Albania
DOI : https://doi.org/10.58806/ijirme.2024.v3i4n01

Abstract

Artificial Intelligence (AI) is an increasingly progressive field that aims to develop computer systems capable of producing inventive and creative content, including text, images, music, video, and audio, that closely resemble human-generated material. AI has significantly impacted education, with both positive and negative implications. While it has gained widespread popularity, it has also raised concerns about bias, misinformation, misuse, and risk, emphasising the need for the responsible implementation and development of generative AI in education. There have been discussions about whether it should be prohibited or whether teachers and students should receive adequate training to use it effectively and ethically. The purpose of AI in education should be to embrace the opportunities it presents while maintaining high academic standards. Renowned universities have developed guidelines and manuals for the responsible use of generative AI tools. This study examines the impact of generative AI on education, analysing its advantages and disadvantages in schools, its outcomes, and how teachers and students can use it for educational purposes. The study also emphasizes the effective use of AI in education, employing qualitative and quantitative methods to evaluate its usage. The results highlight the benefits and drawbacks of generative AI in education, concluding with recommendations and future applications of generative AI in education.

Keywords:

Artificial Intelligence, its impact on education, evolution, concerns, ethics, Chat GPT.

References:

1) Atkinson, R. (2019). Do not fear AI. European Investment Bank.

2) Bathgate, A. (2023). The Artificial Intelligence Revolution. Great Britain: Amazon.

3) Caitlin C. Corrigan, S. A. (2023). AI Ethics in Higher: Insights from Africa and Beyond. Cham, Switzerland: Springer.

4) Damian Okaibedi Eke, K. W. (2023). Responsible AI in Africa. Cham: Palgrame Macmillan.

5) Gardner, H. (1993). Frame of Mind: The Theory of Multiple Intelligences. New York: A Member of The Perseus Books Group.

6) Hannele Niemi, R. D. (2023). AI in Learning: Designing the Future. Switzerland: Springer.

7) Hannes Werthner, C. G.-R. (2024). Introduction to Digital Humanism. Cham: Springer.

8) Haroon Sheikh, C. P. (2023). Mission AI. Cham: Springer.

9) Henrique Sousa Antunes, P. M. (2024). Multidisciplinary Perspectives on Artificial Intelligence and the Law. Springer.

10) Herman Cappelen, J. D. (2021). Making AI Intelligible. Oxford: Oxford University Pres.

11) Huawei Technologies Co., L. (2023). Artificial Intelligence Technology. Hangzhou: Springer.

12) Jansen, S. C. (2022). What Was Artificial Intelligence. Bethlehem: Mediastudies press.

13) Kinderlerer, J. (2021). Artificial Intelligence for a Better Future: An Ecosystem Perspective on the Ethics of AI and Emerging Digital Technologies. Leicester: Springer.

14) Miller, M. (2023). AI for Educators. Ditch That Textbook.

15) Okunola, E. K. (2023). Artificial Intelligence for Everyone. Great Britain: Amazon.

16) Peter Klimczak, C. P. (2023). AI – Limits and Prospects of Artificial Intelligence: KI-Kritik / AI Critique Volume 4. By transcript Verlag, Bielefeld.

17) Preston, J. (2022). Artificial Intelligence in the Capitalist University. New York: Routledge.

18) Stan Skrabut, E. D. (2023). 80 Ways to use ChatGPT in the Classroom. Great Britain: Amazon.

19) Taulli, T. (2019). Artificial Intelligence Basics. Monravia: Apress.

20) Ulnicane, I. (2022). Artificial intelligence in the European Union. London & New York: Routledge.

21) Verdegem, P. (2021). AI for Everyone? Critical Perspectives. London: University of Westminster Press.

22) Zylinska, J. (2020). AI Art: Machine Visions and Warped Dreams. London: Open Humanities Press.