ISSN: 2226-6348
Open access
This qualitative research explores the impact of Artificial Intelligence (AI) on enhancing the quality of teaching within the private sector tertiary education from an international perspective. Through in-depth interviews with educators, administrators, and AI experts across multiple countries, the study examines how AI technologies are being integrated into teaching methodologies and their effects on educational outcomes. The research reveals that AI contributes significantly to personalized learning, offering tailored educational experiences that cater to individual student needs and learning styles. Educators highlighted the role of AI in automating administrative tasks, thus allowing more time for interactive and student-focused teaching. Furthermore, the integration of AI-driven analytics provides educators with actionable insights into student performance, facilitating data-driven decision-making and early intervention for at-risk students. However, the study also identifies challenges such as the digital divide, data privacy concerns, and the need for professional development to equip teachers with the skills required to effectively leverage AI tools. The international perspective underscores varying levels of AI adoption and its impact, influenced by regional technological infrastructure, policy frameworks, and cultural attitudes towards AI in education. This research underscores the transformative potential of AI in enhancing teaching quality while also highlighting the necessity for addressing ethical considerations and ensuring equitable access to AI technologies in education.
Al Qalhati, N., Karim, A. M., Al Mughairi, B., Al Hilali, K., & Hossain, M. I. (2020). Technology and HR Practices in Educational Sector in Sharqiya Governate of Oman. International Journal of Academic Research in Business and Social Sciences. 10(10), 435-443.
Allen, E., & Seaman, J. (2017). Digital pedagogy in higher education: Things to think about. Educause Review, 52(2), 115-124.
Bates, T. (2019). Teaching in a digital age: Guidelines for designing teaching and learning. BCcampus Open Education.
Beal, C. R., & Nourbakhsh, I. R. (2019). Towards a Standardized Framework for the Design of AI-Enabled Educational Robots. International Journal of Social Robotics, 11(4), 631-645.
Bligh, D. (2000). What's the use of lectures? Open University Press.
Braun, V., & Clarke, V. (2006). Using thematic analysis in qualitative research. Qualitative Research in Psychology, 3(2), 77-101.
Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264-75278.
Chen, L. (2021). A Review of Artificial Intelligence Applications in Reading Comprehension. IEEE Access, 9, 108830-108843.
Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approach (5th ed.). Sage Publications.
Ellis, C., & Bochner, A. P. (2000). Autoethnography, reflexivity, and social science. Qualitative Inquiry, 6(1), 7-28.
Emanuel, E. J., Wachter, S., Mittelstadt, B., & Vayena, F. (2019). A framework for responsible AI. Nature Biomedical Engineering, 3(1), 327-331.
Ferguson, R. (2016). Personalized learning: A critical analysis. Education and Policy Analysis Archives, 24(1), 78.
Heidig, S., & Clarebout, G. (2022). Learning with Conversational Agents: A Review of Empirical Research. International Journal of Artificial Intelligence in Education, 32(1), 1-47.
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Center for Curriculum Redesign.
Javed, M., Hock, O. Y., & Asif, M. K., Hossain, M. I. (2020). Assessing the Impact of Emotional Intelligence on Job Satisfaction among Private School Teachers of Hyderabad, India. International Journal of Psychosocial Rehabilitation. 24(4). 5035-5045
Kim, Y. (2020). South Korea’s AI strategy in education: Current progress and challenges. Educational Technology & Society, 23(1), 97-108.
Li, L., & Liu, D. (2019). Artificial Intelligence in Education: A Review. Educational Technology & Society, 22(3), 222-238.
Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. Sage Publications.
Luckin, R., Stanton, D., Ayres, J., Abrahams, I., Sampson, D., & Hafiz, M. (2016). AI and education: Mapping the landscape. The Alan Turing Institute.
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson Education.
Man, K. L., & Yu, Y. (2020). Big Data Analytics, Learning Analytics, and Educational Data Mining: A Comparative Review. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 50(10), 3623-3643.
Merriam, S. B. (1998). Case study research in education: A qualitative approach (2nd ed.). Jossey-Bass.
Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis: An expanded sourcebook (2nd ed.). Sage Publications.
OECD (2021). AI and the Future of Skills: Education and Skills for the Digital Age. OECD Publishing.
Picciano, A. G. (2020). The future of learning design in a digital world. Education and Information Technologies, 25(2), 847-864.
Rose, C., Chang, M., & Stump, G. W. (2018). Artificial intelligence in education: Promises and pitfalls. Education and Information Technologies, 23(4), 16
UNESCO (2020). Artificial Intelligence in Education: Challenges and Opportunities for Sustainable Development. UNESCO Publishing.
Wang, F., & Hannafin, M. J. (2020). Design-Based Research and Technology-Enhanced Learning Environments. Educational Technology & Society, 23(1), 220-236.
Winne, P. H., & Hadwin, A. F. (2019). Diagnostic Assessments in Self-Regulated Learning: Unpacking and Re-Conceptualizing the Measurement. Educational Psychologist, 54(3), 138-153.
Bing, G., Mondol, E. P., Karim, A. M., & Musallami, N. Al. (2024). Impact of Artificial Intelligence on the Enhancement of Quality of Teaching in the Private Sector Tertiary Education: International Perspective. International Journal of Academic Research in Progressive Education and Development, 13(4), 834–846.
Copyright: © 2024 The Author(s)
Published by HRMARS (www.hrmars.com)
This article is published under the Creative Commons Attribution (CC BY 4.0) license. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this license may be seen at: http://creativecommons.org/licences/by/4.0/legalcode