The impact of artificial intelligence on the personalization of learning and its effects on academic performance and educational inclusion
DOI:
https://doi.org/10.35290/rcui.v12n2.2025.1435Keywords:
Feedback, artificial intelligence, academic performance, personalization of learning, inclusionAbstract
The introduction of Artificial Intelligence (AI) in education is revolutionizing the The introduction of Artificial Intelligence (AI) in education is revolutionizing the personalization of learning, positioning it as a crucial tool for pedagogical progress. This article analyses how AI is transforming the field of education, facilitating the personalization of content and pedagogical strategies according to the individual needs of learners. Through a case study analysis in educational settings, the effects of AI on academic performance were explored, highlighting improvements in comprehension and retention of information. The study employed a quantitative approach with a quasi-experimental design to evaluate the contribution of AI to educational inclusion by providing personalized support to students with special needs and learning difficulties, promoting a more equitable environment. The findings highlight that the integration of this tool in the classroom can enhance academic performance by providing learning experiences tailored to the characteristics of each student. However, challenges are identified that need to be addressed, such as data privacy and bias in the algorithms. The article concludes with recommendations for effective implementation of AI in education and considers ethical and social implications for ensuring responsible integration in education.
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Álvarez Merelo, J. C., & Cepeda Morante, L. J. (2024). El impacto de la inteligencia artificial en la enseñanza y el aprendizaje. LATAM Revista Latinoamericana de Ciencias Sociales y Humanidades, 5(3). https://doi.org/10.56712/latam.v5i3.2061 DOI: https://doi.org/10.56712/latam.v5i3.2061
Alshahrani, A. (2023). The impact of ChatGPT on blended learning: Current trends and future research directions. International Journal of Data and Network Science, 7(4), 2029–2040. https://doi.org/10.5267/j.ijdns.2023.6.010 DOI: https://doi.org/10.5267/j.ijdns.2023.6.010
Aparicio-Gómez, O.-Y., & Aparicio-Gómez, W.-O. (2024). Innovación educativa con sistemas de aprendizaje adaptativo impulsados por Inteligencia Artificial. Revista Internacional de Pedagogía e Innovación Educativa, 4(2). https://doi.org/10.51660/ripie42222 DOI: https://doi.org/10.51660/ripie42222
Aparicio-Gómez, W.-O. (2023). La Inteligencia Artificial y su Incidencia en la Educación: Transformando el Aprendizaje para el Siglo XXI. REVISTA INTERNACIONAL DE PEDAGOGÍA E INNOVACIÓN EDUCATIVA, 3(2), 217–230. https://editic.net/journals/index.php/ripie/article/view/156/143 DOI: https://doi.org/10.51660/ripie.v3i2.133
Chassignol, M., Khoroshavin, A., Klimova, A., & Bilyatdinova, A. (2018). Artificial Intelligence trends in education: A narrative overview. Procedia Computer Science, 136, 16–24. https://doi.org/10.1016/j.procs.2018.08.233 DOI: https://doi.org/10.1016/j.procs.2018.08.233
Cotton, D. R. E., Cotton, P. A., & Shipway, J. R. (2024). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International, 61(2), 228–239. https://doi.org/10.1080/14703297.2023.2190148 DOI: https://doi.org/10.1080/14703297.2023.2190148
Crisol-Moya, E., Herrera-Nieves, L., & Montes-Soldado, R. (2020). Virtual education for all: Systematic review. Education in the Knowledge Society, 21. https://doi.org/10.14201/eks.20327 DOI: https://doi.org/10.14201/eks.23448
Desmond, D., Layton, N., Bentley, J., Boot, F., Borg, J., Dhungana, B., Gallagher, P., Gitlow, L., Gowran, R., Groce, N., Mavrou, K., Mackeogh, T., McDonald, R., Pettersson, C., & Scherer, M. (2018). Assistive technology and people: a position paper from the first global research, innovation and education on assistive technology (GREAT) summit. Disability and Rehabilitation: Assistive Technology, 13(5), 437–444. https://doi.org/10.1080/17483107.2018.1471169 DOI: https://doi.org/10.1080/17483107.2018.1471169
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., Galanos, V., Ilavarasan, P. V., Janssen, M., Jones, P., Kar, A. K., Kizgin, H., Kronemann, B., Lal, B., Lucini, B., … Williams, M. D. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57. https://doi.org/10.1016/j.ijinfomgt.2019.08.002 DOI: https://doi.org/10.1016/j.ijinfomgt.2019.08.002
Gallent-Torres, C., Zapata-González, A., & Ortego-Hernando, J. L. (2023). The impact of Generative Artificial Intelligence in higher education: a focus on ethics and academic integrity. RELIEVE - Revista Electronica de Investigacion y Evaluacion Educativa, 29(2). https://doi.org/10.30827/RELIEVE.V29I2.29134 DOI: https://doi.org/10.30827/relieve.v29i2.29134
García Villaroel, J. J. (2021). Implicancia de la inteligencia artificial en las aulas virtuales para la educación superior. Orbis Tertius UPAL, 5(10), 31–52. https://doi.org/10.59748/ot.v5i10.98 DOI: https://doi.org/10.59748/ot.v5i10.98
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education Promises and Implications for Teaching and Learning. MA: Center for Curriculum Redesign.
Hoofnagle, C. J., Van Der Sloot, B., & Zuiderveen Borgesius, F. (2018). The European Union General Data Protection Regulation: What It Is And What It Means. SSRN Electronic Journal. https://doi.org/doi:10.2139/ssrn.3254511 DOI: https://doi.org/10.2139/ssrn.3254511
Ifenthaler, D., Majumdar, R., Gorissen, P., Judge, M., Mishra, S., Raffaghelli, J., & Shimada, A. (2024). Artificial Intelligence in Education: Implications for Policymakers, Researchers, and Practitioners. Technology, Knowledge and Learning. https://doi.org/10.1007/s10758-024-09747-0 DOI: https://doi.org/10.1007/s10758-024-09747-0
Kabudi, T., Pappas, I., & Olsen, D. H. (2021). AI-enabled adaptive learning systems: A systematic mapping of the literature. Computers and Education: Artificial Intelligence, 2. https://doi.org/10.1016/j.caeai.2021.100017 DOI: https://doi.org/10.1016/j.caeai.2021.100017
Khan, A., & Khusro, S. (2021). An insight into smartphone-based assistive solutions for visually impaired and blind people: issues, challenges and opportunities. Universal Access in the Information Society, 20(2), 265–298. https://doi.org/10.1007/s10209-020-00733-8 DOI: https://doi.org/10.1007/s10209-020-00733-8
Kirwan, A. (2023). ChatGPT and university teaching, learning and assessment: some initial reflections on teaching academic integrity in the age of Large Language Models. Irish Educational Studies. https://doi.org/10.1080/03323315.2023.2284901 DOI: https://doi.org/10.1080/03323315.2023.2284901
Korzynski, P., Mazurek, G., Altmann, A., Ejdys, J., Kazlauskaite, R., Paliszkiewicz, J., Wach, K., & Ziemba, E. (2023). Generative artificial intelligence as a new context for management theories: analysis of ChatGPT. Central European Management Journal, 31(1), 3–13. https://doi.org/10.1108/CEMJ-02-2023-0091 DOI: https://doi.org/10.1108/CEMJ-02-2023-0091
Lavidas, K., Voulgari, I., Papadakis, S., Athanassopoulos, S., Anastasiou, A., Filippidi, A., Komis, V., & Karacapilidis, N. (2024). Determinants of Humanities and Social Sciences Students’ Intentions to Use Artificial Intelligence Applications for Academic Purposes. Information (Switzerland), 15(6). https://doi.org/10.3390/info15060314 DOI: https://doi.org/10.3390/info15060314
Magallanes Ronquillo, K. K., Mora Rodríguez, A. J., Aguas Veloz, J. F., & Plúas Pérez, L. del R. (2023). La inteligencia artificial aplicada en la innovación educativa en el proceso de enseñanza y aprendizaje. LATAM Revista Latinoamericana de Ciencias Sociales y Humanidades, 4(2). https://doi.org/10.56712/latam.v4i2.706 DOI: https://doi.org/10.56712/latam.v4i2.706
Moreno Padilla, R. D. (2019). La llegada de la inteligencia artificial a la educación. Revista de Investigación En Tecnologías de La Información, 7(14), 260–270. https://doi.org/10.36825/riti.07.14.022 DOI: https://doi.org/10.36825/RITI.07.14.022
Morocho Cevallos, R. A., Cartuche Gualán, A. P., Tipan Llanos, A. M., Guevara Guevara, A. M., & Ríos Quiñónez, M. B. (2023). Integración de la Inteligencia Artificial en la Educación. Ciencia Latina Revista Científica Multidisciplinar, 7(6), 2032–2053. https://doi.org/10.37811/cl_rcm.v7i6.8832 DOI: https://doi.org/10.37811/cl_rcm.v7i6.8832
Muñoz, J. L. R., Ojeda, F. M., Jurado, D. L. A., Peña, P. F. P., Carranza, C. P. M., Berríos, H. Q., Molina, S. U., Farfan, A. R. M., Arias-Gonzáles, J. L., & Vasquez-Pauca, M. J. (2022). Systematic Review of Adaptive Learning Technology for Learning in Higher Education. Eurasian Journal of Educational Research, 2022(98), 221–233. https://doi.org/10.14689/ejer.2022.98.014
Navarrete-Cazales, Z., & Manzanilla-Granados, H. M. (2023). Una perspectiva sobre la inteligencia artificial en la educación. Perfiles Educativos, 45(Especial), 87–107. https://doi.org/10.22201/iisue.24486167e.2023.Especial.61693 DOI: https://doi.org/10.22201/iisue.24486167e.2023.Especial.61693
Nedungadi, P., Tang, K. Y., & Raman, R. (2024). The Transformative Power of Generative Artificial Intelligence for Achieving the Sustainable Development Goal of Quality Education. Sustainability (Switzerland), 16(22). https://doi.org/10.3390/su16229779 DOI: https://doi.org/10.3390/su16229779
Obregón, L. A., Onofre, C. Y., Ii, B., Pareja, E. J., & Iii, Z. (2023). The impact of artificial intelligence in the educational field O impacto da inteligência artificial na área educacional. POCAIP, 8(39), 342–354. https://doi.org/10.23857/fipcaec.v8i3 DOI: https://doi.org/10.23857/fipcaec.v8i3
Ortiz Muñoz, F. J. (2024). La Inteligencia Artificial como elemento disruptivo para consolidar el cambio del paradigma educativo. Derecom, 36, 65–85. https://dialnet.unirioja.es/servlet/articulo?codigo=9509032
Pane, J., Steiner, E., Baird, M., & Hamilton, L. (2015). Continued Progress: Promising Evidence on Personalized Learning. RAND Corporation. https://www.rand.org/pubs/research_reports/RR1365.html DOI: https://doi.org/10.7249/RR1365
Romero, C., & Ventura, S. (2020). Educational data mining and learning analytics: An updated survey. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 10(3). https://doi.org/10.1002/widm.1355 DOI: https://doi.org/10.1002/widm.1355
Sanchez-Acedo, A., Carbonell-Alcocer, A., Gertrudix, M., & Rubio-Tamayo, J. L. (2024). The challenges of media and information literacy in the artificial intelligence ecology: deepfakes and misinformation. Communication and Society, 37(4 Special Issue), 223–239. https://doi.org/10.15581/003.37.4.223-239 DOI: https://doi.org/10.15581/003.37.4.223-239
Selwyn, N. (2019). Should robots replace teachers? AI and the Future of Education (1st ed.). Polity Press.
Xu, Z., Wijekumar, K., Ramirez, G., Hu, X., & Irey, R. (2019). The effectiveness of intelligent tutoring systems on K-12 students’ reading comprehension: A meta-analysis. British Journal of Educational Technology, 50(6), 3119–3137. https://doi.org/10.1111/bjet.12758 DOI: https://doi.org/10.1111/bjet.12758
Zhang, L., Basham, J. D., & Yang, S. (2020). Understanding the implementation of personalized learning: A research synthesis. In Educational Research Review (Vol. 31). Elsevier Ltd. https://doi.org/10.1016/j.edurev.2020.100339 DOI: https://doi.org/10.1016/j.edurev.2020.100339
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