AI'S IMPACT ON EDUCATIONAL LEADERSHIP AND LEARNING
Keywords:
artificial intelligence, educational leadership, learning, curriculum developmentAbstract
This study investigates the impact of artificial intelligence (AI) on educational leadership and learning at a public college in the Philippines. Through semi-structured interviews with seven educators, the research explores how AI influences decision-making, teaching practices, and student outcomes. The findings reveal that AI is increasingly influencing educational leaders' decision-making, offering data-driven insights and streamlining processes. However, concerns about ethical implications, such as data privacy and bias, highlight the need for careful consideration and responsible implementation. AI's impact on teaching practices is mixed. While AI tools can enhance student engagement and critical thinking, there are concerns about over-reliance and the need to balance AI with traditional teaching methods. The study concludes that AI holds significant potential to transform education, but careful planning, ethical considerations, and ongoing professional development are crucial for maximizing its benefits and mitigating potential risks. Further research is needed to understand the long-term impact of AI on student learning and the broader educational landscape.
References
References
Abduljaber, M. (2024). Perceived influence of artificial intelligence on educational leadership's decision-making, teaching, and learning outcomes: A transcendental phenomenological study. Liberty University.
Akavova, A., Temirkhanova, Z., & Lorsanova, Z. (2023). Adaptive learning and artificial intelligence in the educational space. E3S Web of Conferences, 451, 06011. https://doi.org/10.1051/e3sconf/202345106011
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77-101.
Chiu, T.K., & Chai, C.S. (2020). Sustainable Curriculum Planning for Artificial Intelligence Education: A Self-Determination Theory Perspective. Sustainability, 12, 5568. https://doi.org/10.3390/su12145568
Dawidowicz, P.M. (2011). With Scholarship & Practice in Mind: The Case Study as Research Method.
Funmi, K.B., & Qian, X. (2020). Critical Thinking an Antidote to Artificial Intelligence Threat: An Innovation in Teacher Education Practices. https://doi.org/10.17501/24246700.2020.6205
Huang, A.Y., Lu, O.H., & Yang, S.J. (2023). Effects of artificial Intelligence-Enabled personalized recommendations on learners' learning engagement, motivation, and outcomes in a flipped classroom. Comput. Educ., 194, 104684. https://doi.org/10.1016/j.compedu.2022.104684
Kim, B., Suh, H., Heo, J., & Choi, Y. (2020). AI-Driven Interface Design for Intelligent Tutoring System Improves Student Engagement. ArXiv, abs/2009.08976.
Krishna Rao, M.R. (2005). Infusing critical thinking skills into content of AI course. Annual Conference on Innovation and Technology in Computer Science Education. https://doi.org/10.1145/1067445.1067494
Kujur, A.G., & Kr Tiwari, R. (2022). Study and design of decision-making models for education system using artificial intelligence. 2021 4th International Conference on Recent Trends in Computer Science and Technology (ICRTCST), 434-439. https://doi.org/10.1109/ICRTCST54752.2022.9781903
Marikyan, D. & Papagiannidis, S. (2023) Technology Acceptance Model: A review. In S. Papagiannidis (Ed), TheoryHub Book. Available at https://open.ncl.ac.uk / ISBN: 9781739604400
Milton, J., & Al-Busaidi, A. (2023). New Role of Leadership in AI Era: Educational Sector. SHS Web of Conferences. https://doi.org/10.1051/shsconf/202315609005
Minishi-Majanja, M.K. (2013). The diffusion of innovations theory as a theoretical framework in Library and Information Science research : research article. South African Journal of Libraries and Information Science, 71, 211-224. https://doi.org/10.7553/71-3-586
Moldenhauer, L., & Londt, C. (2019). Leadership, Artificial Intelligence and the Need to Redefine Future Skills Development. Journal of Leadership, Accountability and Ethics. https://doi.org/10.33423/JLAE.V16I1.1363
Moussa, N.N., Bentoumi, R., & Saali, T. (2024). Promoting Student Success with Neutrosophic Sets: Artificial Intelligence and Student Engagement in Higher Education Context. International Journal of Neutrosophic Science. https://doi.org/10.54216/ijns.230121
Salman, A. (2011). Internet usage in a Malaysian sub-urban community: A study of diffusion of ICT innovation. The Innovation Journal, 16, 8. https://innovation.cc/wp-content/uploads/2011_16_2_8_salman-hasim_malaysian-web.pdf
Schaper, M., Malinverni, L., & Valero, C. (2020). Robot Presidents: Who should rule the world?: Teaching Critical Thinking in AI through Reflections upon Food Traditions. Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society. https://doi.org/10.1145/3419249.3420085
Su, J., & Zhong, Y. (2022). Artificial Intelligence (AI) in early childhood education: Curriculum design and future directions. Comput. Educ. Artif. Intell., 3, 100072. https://doi.org/10.1016/j.caeai.2022.100072
Tavakoli, M., Faraji, A., Molavi, M., Mol, S.T., & Kismih'ok, G. (2021). Hybrid Human-AI Curriculum Development for Personalised Informal Learning Environments. LAK22: 12th International Learning Analytics and Knowledge Conference. https://doi.org/10.1145/3506860.3506917
Tarisayi, Kudzayi Savious. “Strategic leadership for responsible artificial intelligence adoption in higher education.” CTE Workshop Proceedings (2023): n. pag. https://doi.org/10.55056/cte.616
Wang, Y. (2020). What is the role of emotions in educational leaders’ decision making? proposing an organizing framework. Educational Administration Quarterly, 57(3), 372-402. https://doi.org/10.1177/0013161x20938856
Wang, Y. (2021). Artificial intelligence in educational leadership: a symbiotic role of human-artificial intelligence decision-making. Journal of Educational Administration, 59(3), 256-270. https://doi.org/10.1108/jea-10-2020-0216
Walter, Y. (2024). Embracing the future of Artificial Intelligence in the classroom: the relevance of AI literacy, prompt engineering, and critical thinking in modern education. International Journal of Educational Technology in Higher Education, 21, 1-29. https://doi.org/10.1186/s41239-024-00448-3
Xu, Z. (2024). AI in education: Enhancing learning experiences and student outcomes. Applied and Computational Engineering. https://doi.org/10.54254/2755-2721/51/20241187
