Learning Rewired: Exploring the Impact of Artificial Intelligence on the Future of Human Knowledge and Education
DOI:
https://doi.org/10.47067/ramss.v9i1.645Keywords:
Artificial Intelligence, Education, Human Knowledge, Learning Effectiveness, Personalized Learning, Data Analysis, Educational Technology, Digital TransformationAbstract
This study investigates the impact of Artificial Intelligence on the future of human knowledge and education by employing a quantitative research design based on a descriptive survey approach. The population included students, teachers, and educational professionals. The sample was comprised of 260 individuals from this population, selected using simple random sampling techniques. Participants completed structured questionnaires, and the data was analyzed using correlation and regression analyses, as well as a Chi-square test. This study concluded that there is a positive correlation between Artificial Intelligence (AI) and learning effectiveness. AI has the potential to increase learning effectiveness by offering a more engaged and individualized learning experience. Regression analysis indicated that the use of AI was a key factor in the development of human knowledge through its role in making information more accessible, enhancing research, and fostering critical thinking. Furthermore, the results of the Chi-square test revealed that there was a significant relationship between level of AI integration and opportunities and challenges in education, which indicated its positive application and issues like digital inequity and ethical concerns in education. In conclusion, the results indicate that AI has a transformative potential in significantly shaping the future of education and extending human knowledge, but that it also needs to be understood within its ethical and policy context, to ensure its proper application in the future learning spaces.
References
Ahmed, N. S. I., & Hamdan, A. (2024). Exploring the Impact of Artificial Intelligence on Education: A Perspective on Future Learning. In Business Development via AI and Digitalization: Volume 1 (pp. 645-652). Cham: Springer Nature Switzerland.
Al Onyanabo, T. (2025). Rewiring Education: The Role and Uses of Artificial Intelligence in Value-Based Learning.
Anghel, G. A., Zanfir, C. M., Matei, F. L., Voicu, C. D., & Neac?a, R. A. (2025). The Integration of Artificial Intelligence in Academic Learning Practices: A Comprehensive Approach. Education Sciences, 15(5), 616.
Badmus, O. T., & Omosewo, E. O. (2020). Evolution of STEM, STEAM and STREAM education in Africa: The implication of the knowledge gap. International Journal on Research in STEM Education, 2(2), 99-106.
Bostrom, N. (2014). Introduction—The transhumanist FAQ: A general introduction. In Transhumanism and the body: The world religions speak (pp. 1-17). New York: Palgrave Macmillan US.
Brezzi, M., González, S., Nguyen, D., & Prats, M. (2021). An updated OECD framework on drivers of trust in public institutions to meet current and future challenges. OECD working papers on public governance, (48), 0_1-60.
Brynjolfsson, E., & Mcafee, A. N. D. R. E. W. (2017). The business of artificial intelligence. Harvard business review, 7(1), 1-2.
Cantlie, C. (2025). Rewiring Education: Change Leadership for the Age of Artificial Intelligence (Doctoral dissertation, The University of Western Ontario).
Charow, R., Jeyakumar, T., Younus, S., Dolatabadi, E., Salhia, M., Al-Mouaswas, D., ... & Wiljer, D. (2021). Artificial intelligence education programs for health care professionals: scoping review. JMIR Medical Education, 7(4), e31043.
Chen, N., Zhou, M., Dong, X., Qu, J., Gong, F., Han, Y., ... & Zhang, L. (2020). Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. The lancet, 395(10223), 507-513.
Gkanatsiou, M. A., Triantari, S., Tzartzas, G., Kotopoulos, T., & Gkanatsios, S. (2025). Rewired leadership: integrating AI-powered mediation and decision-making in higher education institutions. Technologies, 13(9), 396.
Grunhut, J., Wyatt, A. T., & Marques, O. (2021). Educating future physicians in artificial intelligence (AI): an integrative review and proposed changes. Journal of Medical Education and Curricular Development, 8, 23821205211036836.
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education promises and implications for teaching and learning. Center for Curriculum Redesign.
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed. An argument for AI in Education, 18(2), 22-43.
Matar, S. (2025). The development of educational technology and artificial intelligence and their impact on the future of education: Opportunities and risks. Journal of Posthumanism, 5(7), 1271-1292.
Moldt, J. A., Festl-Wietek, T., Madany Mamlouk, A., Nieselt, K., Fuhl, W., & Herrmann-Werner, A. (2023). Chatbots for future docs: exploring medical students’ attitudes and knowledge towards artificial intelligence and medical chatbots. Medical education online, 28(1), 2182659.
Moursund, D. G. (2006). Brief introduction to educational implications of Artificial Intelligence. University of Oregon, 51.
Nusir, S., Alsmadi, I., Al-Kabi, M., & Sharadgah, F. (2013). Studying the impact of using multimedia interactive programs on children's ability to learn basic math skills. E-learning and Digital Media, 10(3), 305-319.
Russell, S., Norvig, P., Popineau, F., Miclet, L., & Cadet, C. (2021). Intelligence artificielle: une approche moderne (4? édition). Pearson France.
Selwyn, N. (2019). What’s the problem with learning analytics?. Journal of Learning Analytics, 6(3), 11-19.
Sousa, D. A. (2023). Engaging the rewired brain. Corwin Press.
Tuomi, I. (2018). The impact of artificial intelligence on learning, teaching, and education. Luxembourg: Publications Office of the European Union.
UNESCO. (2021). The United Nations world water development report 2021: Valuing water. United Nations.
Westerbeek, H. (2026). How AI is rewiring the human brain: the generational transformation of cognition and knowing. AI & SOCIETY, 1-11.
Wijayati, D. T., Rahman, Z., Fahrullah, A. R., Rahman, M. F. W., Arifah, I. D. C., & Kautsar, A. (2022). A study of artificial intelligence on employee performance and work engagement: the moderating role of change leadership. International Journal of Manpower, 43(2), 486-512.
Wiljer, D., & Hakim, Z. (2019). Developing an artificial intelligence–enabled health care practice: rewiring health care professions for better care. Journal of medical imaging and radiation sciences, 50(4), S8-S14.
Williamson, B. (2017). Big data in education: The digital future of learning, policy and practice.
Wong, W., Aristidou, A., & Scheuermann, K. (2025). The future of learning or the future of dividing? Exploring the impact of general artificial intelligence on higher education. Data & Policy, 7, e44.
