Leveraging Artificial Intelligence and Digital Technologies to Transform Learning and Mental Health Support: A Multidisciplinary Perspective for Educational Psychology

Authors

  • Olajumoke O. Olanipekun Federal College of Education (Technical) Akoka

Keywords:

Artificial Intelligence (AI), Digital Technologies, Educational Psychology, Mental Health Support, Personalized Learning

Abstract

The integration of artificial intelligence (AI) and digital technologies is revolutionising educational psychology, enhancing both personalised learning and mental health support. This narrative review explores these advancements through multidisciplinary perspectives, highlighting their impact on educational practices and student well-being. AI tools such as adaptive learning platforms and chatbots enable tailored educational interventions, improving engagement and academic outcomes. Similarly, digital mental health technologies, including therapy apps and telehealth services, provide scalable solutions for addressing psychological challenges. Despite their benefits, challenges such as algorithmic bias, data privacy concerns, and unequal access persist, particularly in low-resource settings. These issues highlight the need for ethical guidelines, infrastructural improvements, and culturally sensitive innovations. The review emphasises the critical role of multidisciplinary collaboration among educators, psychologists, and technologists to address these challenges effectively. Recommendations include developing culturally relevant tools, investing in educator training, and fostering interdisciplinary research. By leveraging AI and digital technologies responsibly, educational psychology can advance inclusive, equitable, and sustainable practices, enhancing both learning outcomes and mental health support for diverse student populations.

References

Adeoye, O., Ogunyemi, T., & Falola, O. (2023). Contextualising AI in African Educational Systems. Journal of Educational Development in Africa, 12(3), 210-230.

Adepoju, O., Olatunji, S., & Akinbode, F. (2023). Barriers to the adoption of digital mental health tools in Nigeria. African Journal of Educational Technology, 9(2), 45–60.

Adeyemi, A., & Fagbemi, A. (2023). The role of artificial intelligence in shaping educational psychology in Nigeria. Journal of Educational Psychology, 42(1), 73-85. https://doi.org/10.1037/edu0000736

Baker, R., Johnson, M., & Lee, P. (2023). AI in education: Bridging the gap for diverse classrooms. Educational Technology Research, 48(2), 101-115. https://doi.org/10.1016/j.etr.2023.04.006

Bower, M., Thomas, P., & Singh, A. (2022). Interdisciplinary approaches to integrating AI in education: Challenges and solutions. Journal of Educational Psychology, 114(3), 678–692.

Brown, T., & Green, J. (2024). Ethical concerns and human interaction in AI-driven mental health tools. Journal of Educational Psychology, 32(1), 14-27. https://doi.org/10.1037/edu0000736

Chen, Y., Zhang, F., & Xu, L. (2021). Adaptive learning systems in educational settings: Enhancing student engagement and achievement. Journal of Learning Analytics, 19(2), 92-107. https://doi.org/10.1080/23743319.2021.1912345

Davis, L., Kumar, A., & Wilson, R. (2021). The role of human expertise in the age of artificial intelligence in education. Journal of AI and Education, 16(4), 323-335. https://doi.org/10.1007/s42044-021-00123-1

Eze, R., Okeke, U., & Eze, C. (2023). Leveraging artificial intelligence for educational advancement in Nigeria. African Journal of Educational Technology, 24(1), 10-25. https://doi.org/10.1080/1944720X.2023.1873834

Firth, J., Torous, J., & Yung, A. R. (2021). Digital interventions for mental health in young people: Progress and future directions. Nature Digital Medicine, 4(1), 1–9.

Green, M., O'Connor, B., & Smith, T. (2022). The ethical implications of AI in educational psychology: Balancing benefits and risks. Educational Policy Review, 29(3), 211-229. https://doi.org/10.1080/09523987.2022.1874689

Holmes, W., Bialik, M., & Fadel, C. (2021). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Educational Technology Research and Development, 69(4), 1055-1074.

Johnson, P., & Lee, S. (2022). Predictive analytics in education: Early detection of learning difficulties and academic risks. International Journal of Educational Technology, 18(1), 59-71. https://doi.org/10.1080/20419185.2022.1872734

Kizilcec, R. F., & Lee, H. (2020). Algorithmic bias in educational technology: Implications for equity. Computers in Human Behavior, 106, 106214.

Naslund, J. A., Aschbrenner, K. A., & Marsch, L. A. (2020). Mobile health interventions for mental health in youth: A review of effectiveness. Digital Health, 6, 1-9. https://doi.org/10.1177/2055207620916580

Naslund, J. A., Aschbrenner, K. A., & Marsch, L. A. (2020). The future of mental health care: Peer support in digital interventions. Psychiatric Services, 71(2), 111–117.

Ojo, B., & Akinbile, I. (2022). Transforming educational psychology in Nigerian schools with AI tools. Journal of Educational Innovations, 15(4), 204-220. https://doi.org/10.1080/20450701.2022.1880544

Olaniyi, O., & Abdul, K. (2023). Digital divide in African education: Challenges in integrating AI for equitable learning. Journal of African Education, 34(2), 143-158. https://doi.org/10.1186/s12345-023-00058-3

Olanrewaju, O., Adeyemo, S., & Ogunyemi, M. (2023). Digital mental health tools and their impact on Nigerian students: A case study. Journal of Psychology and Technology, 30(2), 111-127. https://doi.org/10.1016/j.jpsytech.2023.02.001

Rasmussen, I., & Rehm, M. (2022). Designing AI Tools for Multicultural Classrooms. Computers in Human Behaviour, 130(1), 107-119.

Smith, J., Wang, Y., & Liu, M. (2021). Artificial intelligence and the future of education: Implications for teaching and learning. Journal of Educational Technology, 44(3), 199-213. https://doi.org/10.1007/s42044-021-00114-1

Spector, J. M. (2023). Emerging technologies for improving learning: Opportunities and risks. British Journal of Educational Psychology, 93(1), 23–34.

Topol, E. (2020). Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. Basic Books.

Turner, R., & Naylor, D. (2022). Teletherapy and mobile applications in mental health support for students. Psychology and Education, 59(3), 225-238. https://doi.org/10.1016/j.psyed.2022.04.009

Wang, J., & Zhu, Z. (2023). AI in education: A comprehensive review and future directions. Journal of Educational Technology Development, 25(1), 75-89. https://doi.org/10.1007/s12631-023-00112-4

Wang, Z., Liu, X., & Yu, J. (2022). The impact of AI-based learning platforms on student outcomes: A meta-analysis. International Journal of Educational Research, 115, 102048

Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2020). Systematic Review of Research on Artificial Intelligence Applications in Higher Education. International Journal of Educational Technology in Higher Education, 17(1), 1-27.

Zhao, Y., Qiu, L., & He, Y. (2024). Enhancing psychological predictions using machine learning: Applications in education. Educational Psychology Review, 36(1), 65–81.

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Published

2024-06-30

How to Cite

Olajumoke O. Olanipekun. (2024). Leveraging Artificial Intelligence and Digital Technologies to Transform Learning and Mental Health Support: A Multidisciplinary Perspective for Educational Psychology. International Collaborative Conference on Multidisciplinary Science, 1(1), 01–08. Retrieved from https://iccms.ifrel.org/index.php/ICCMS/article/view/20

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