Main Article Content
Abstract
Integrating Artificial Intelligence (AI) into education is set to transform teaching and learning practices. Although the benefits of AI in education are vast, significant challenges and uncertainties persist. This study examines the role of AI in language teaching and learning at a university in Tanzania, focusing on its applications, impacts, challenges, and ethical considerations. Data were collected from 128 participants through surveys, interviews, observations, and group discussions. The findings revealed the growing use of AI-powered educational technologies in Tanzanian university settings, offering innovative solutions to traditional challenges and optimizing learning outcomes. However, challenges such as data privacy, lack of proficiency in AI, lack of suitable equipment, plagiarism issues, and high dependency on AI need to be addressed. Moreover, questions about the evolving roles of teachers and the ethical implications of AI usage in education. Despite the challenges, the study highlights AI’s potential to transform teaching, personalize learning, and enhance instruction through improved access to materials and data analysis. Furthermore, instructors mainly benefit from AI lesson content creation and virtual reality simulations. Concerns regarding dependency and misuse raise issues regarding critical thinking and integrity. This study advocates for ongoing dialogue among stakeholders to ensure responsible AI integration and maximize its benefits.
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Copyright (c) 2024 Job W. Mwakapina
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
References
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References
Allam, H., Dempere, J., Akre, V., & Flores, P. (2023). Artificial Intelligence in Education (AIED): Implications and Challenges. In A. Johnston et al. (Eds.), Proceedings of the HCT International General Education Conference (HCT-IGEC 2023) (pp. 126-140). Atlantis Highlights in Social Sciences, Education and Humanities, 13. https://doi.org/10.2991/978-94-6463-286-6_10.
Arikunto, S. (2013). The research procedure is a practice approach (revision VIII). Jakarta:Rineka Cipta. https://opac.perpusnas.go.id/DetailOpac.aspx?id=801361
Cardona, M. A., Rodríguez, R. J., & Ishmael, K. (2023, May). Artificial intelligence and the future of teaching and learning: Insights and recommendations. U.S. Department of Education.
Chen, L. C., Chen, Y.H., & Huang, Y.M. (2019). The effects of web-based formative assessment on self regulated learning and learning performance in a mathematics course. Computers & Education, 133, 43-55. https://doi.org/10.1007/s11423-021-10071-y
Harry, A. (2023). Role of AI in education. Injurity: Interdisciplinary Journal and Humanity, 2(3). Retrieved from https://injurity.pusatpublikasi.id/index.php/inj/index
Kaledio, P., Robert, A. F., & Louis, A. F. (2024). The impact of artificial intelligence on students' learning experience. Available at SSRN: http://dx.doi.org/10.2139/ssrn.4716747
Kimondo, C., Wandeto, L., Indimuli, D., & Ercertin, A. (2023). The impact of A.I on teaching and learning. London Journal of Social Sciences, 6, 124. https://doi.org/10.31039/ljss.2023.6.111
Ma, Y, & Siau, K. L. (2018). Artificial Intelligence Impacts on Higher Education. Proceedings of the Thirteenth Midwest Association for Information Systems Conference, May 17-18(September), 1–6.
Mureșan, M. (2023). Impact of artificial intelligence on education. RAIS Conference Proceedings, June 8-9. https://doi.org/10.5281/zenodo.8132828
Rana, A., Reddy, A., Shrivastava, A., Verma, D., Ansari, M., & Singh, D. (2022). Secure and Smart Healthcare System using IoT and Deep Learning Models. 2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS), 915–922. IEEE.
Owan, V. J., Abang, K. B., Idika, D. O., Etta, E. O., & Bassey, B. A. (2023). Exploring the potential of artificial intelligence tools in educational measurement and assessment. EURASIA Journal of Mathematics, Science and Technology Education, 19(8), em2307. https://doi.org/10.29333/ejmste/13428
Popenici, S. A., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12, 1-13. https://doi.org/10.1186/s41039-017-0062-8
Piaget, J. (1969). Science of education and the psychology of the child. Viking Press.
Rahayu, S. (2023). The Impact of Artificial Intelligence on Education: Opportunities and Challenges. Jurnal Educatio, 9(4), 2132-2140. https://doi.org/10.31949/educatio.v9i4.6110]
Riduwan, K. (2015). The scale of measurement of research variables. Alphabet.https://opac.perpusnas.go.id/DetailOpac.aspx?id=716954
Samad, A., Hamza, M., Muazzam, A., Ahmer, A., Tariq, S., Ahmad, S., & Mumtaz, M. T. (2022). Current perspectives on the strategic future of the poultry industry after the COVID-19 outbreak. Brilliance: Research of Artificial Intelligence, 2(3), 90–96.
Sangheethaa, S, & Korath, A. (2024). Impact of AI in Education through Teachers Perceptive. Educational Administration: Theory and Practice, 30(4), 3196–3200. https://doi.org/10.53555/kuey.v30i4.1349
Son, J., Park, Y., & Kim, S. (2023). The Role of Artificial Intelligence in Education: Current Trends and Future Directions. Journal of Educational Technology, 45(2), 215-230.
Slimi, Z. (2023). The impact of artificial intelligence on higher education: An empirical study. European Journal of Educational Sciences, 10(1), 17. http://dx.doi.org/10.19044/ejes.v10no1a17
Tuomi, I. (2018). The Impact of Artificial Intelligence on Learning, Teaching, and Education: Policies for the Future. In M. Cabrera, R. Vuorikari, & Y. Punie (Eds.), EUR 29442 EN (pp. i). Luxembourg: Publications Office of the European Union. doi:10.2760/12297
Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.
Žáček, M., & Pavel, S. (2019). “Development of computational thinking: Student Motivation using ozobot.” Proceedings of the 2019 3rd International Conference on Education and E-Learning., 2019, pp. 36-40, https://dl.acm.org/doi/abs/10.1145/3371647.3371654.