Correlation Between Integration of Artificial Intelligence Technology and Inclusive Learning Experiences among University Undergraduate Students in Edo State, Nigeria

Authors

  • EGUAGIE, Osagie Author
  • OSATOHANWEN, Juliet Author

DOI:

https://doi.org/10.64348/zije.2026519

Abstract

This study focused on examining the relationship between artificial intelligence and inclusive learning experiences among university students in Edo State. Three hypotheses guided the study. A correlational survey research design was adopted. The population comprised undergraduate students of the University of Benin and Ambrose Alli University, Ekpoma, Edo State. A sample size of 350 respondents was selected using a multi-stage sampling technique. Data were collected using a structured questionnaire titled Artificial Intelligence and Inclusive Learning Experiences Questionnaire (AIILEQ) consisting of 30 items measured on a four-point rating scale. The instrument was validated by three experts from the University of Benin, Benin city, while reliability was established through the test–retest method, yielding a reliability coefficient of 0.84. Data were analyzed using simple linear regression analysis with the aid of SPSS at the 0.05 level of significance. Findings revealed that students' awareness of artificial intelligence had a significant relationship with their inclusive learning experiences. The study also revealed that students' utilization of artificial intelligence tools had a significant relationship with their inclusive learning experiences. Furthermore, students' competence in using artificial intelligence was found to have a significant relationship with their inclusive learning experiences. The study concluded that improving students' awareness, utilization, and competence in artificial intelligence is essential for promoting inclusive learning experiences in universities in Edo State.

References

Alyoussef, I. Y., Drwish, A. M., Albakheet, F. A., Alhajhoj, R. H., & Al-Mousa, A. A. (2025). AI adoption for collaboration: Factors influencing inclusive learning adoption in higher education. IEEE Access, 13, 81690–81713. DOI: https://doi.org/10.1109/ACCESS.2025.3567656

Asghar, M. Z., Iqbal, J., Özbilen, F. M., Abedin, J., Järvenoja, H., & Widanapathirana, U. (2025). The nexus of artificial intelligence literacy, collaborative knowledge practices, and inclusive leadership development among higher education students in Bangladesh, China, Finland, and Turkey. Discover Computing, 28(1), 172. DOI: https://doi.org/10.1007/s10791-025-09695-y

Ayuso-del Puerto, D., Cabanillas-García, J. L., Sánchez-Herrera, S., & Pérez-Vera, L. (2026). Knowledge, perceptions, and applicability of universal design for learning and artificial intelligence in inclusive education. In Frontiers in Education (Vol. 11, p. 1832142). Frontiers Media SA. DOI: https://doi.org/10.3389/feduc.2026.1832142

Costache, B., & Enǎchescu, V. A. (2026). Artificial intelligence, hybrid learning, and global competence development: Emerging educational paradigms for inclusive and sustainable higher education. International Journal of Education, Leadership, Artificial Intelligence, Computing, Business, Life Sciences, and Society, 7, 1–17. DOI: https://doi.org/10.65222/VIRAL.2026.4.23.43

El-Shara, I. A., Saeed, A. S., & Arouri, Y. M. (2025). University students' awareness and attitudes toward the use of artificial intelligence applications (AIAs) in learning: A descriptive study. International Journal of Information and Education Technology, 15(3), 539–548. DOI: https://doi.org/10.18178/ijiet.2025.15.3.2264

Huang, X. (2021). Aims for cultivating students' key competencies based on artificial intelligence education in China. Education and Information Technologies, 26, 4569–4585. DOI: https://doi.org/10.1007/s10639-021-10530-2

Hwang, G. J., Xie, H., Wah, B. W., & Gašević, D. (2020). Vision, challenges, roles and research issues of artificial intelligence in education. Computers and Education: Artificial Intelligence, 1, 100001. DOI: https://doi.org/10.1016/j.caeai.2020.100001

Jia, X. H., & Tu, J. C. (2024). Towards a new conceptual model of AI-enhanced learning for college students. Systems, 12(3), 85. DOI: https://doi.org/10.3390/systems12030074

Khalid, Z., Khan, I. U., Sarwar, A., Bibi, A., & Ali, N. (2026). The impact of AI, digital learning, and blended approaches on student engagement for inclusive education. The Critical Review of Social Sciences Studies, 4(1), 90–105. DOI: https://doi.org/10.59075/5r5c2740

Kuleto, V., Ilić, M., Dumangiu, M., et al. (2021). Exploring opportunities and challenges of artificial intelligence and machine learning in higher education institutions. Sustainability, 13(18), 10424. DOI: https://doi.org/10.3390/su131810424

Li, J., Yan, Y., & Zeng, X. (2025). Exploring artificial intelligence in inclusive education: A systematic review of empirical studies. Applied Sciences, 15(2), 611. DOI: https://doi.org/10.3390/app152312624

Melo-López, V. A., & Basantes-Andrade, A. (2025). The impact of artificial intelligence on inclusive education: A systematic review. Education Sciences, 15(1), 41. DOI: https://doi.org/10.3390/educsci15050539

Pagliara, S. M., Bonavolonta, G., Pia, M., Falchi, S., & Zurru, A. L. (2024). The integration of artificial intelligence in inclusive education: A scoping review. Information, 15(8), 482. DOI: https://doi.org/10.20944/preprints202410.1386.v1

Raphael, F. O., Ofoegbu, T., & Okechukwu, E. B. S. (2025). Awareness and utilization of artificial intelligence tools among undergraduate students with disabilities in federal universities in South East, Nigeria. African Journal of Science, Technology and Mathematics Education, 11(2), 72–80.

Reyes, J. I., & Meneses, J. (2024). Is artificial intelligence an opportunity for inclusive education? A case study in a fully online university. Ubiquity Proceedings, 4(1). DOI: https://doi.org/10.5334/uproc.124

Salas-Pilco, S. Z., Xiao, K., & Oshima, J. (2022). Artificial intelligence and new technologies in inclusive education for minority students: A systematic review. Sustainability, 14(20), 13572. DOI: https://doi.org/10.3390/su142013572

Downloads

Published

2026-08-13

How to Cite

Correlation Between Integration of Artificial Intelligence Technology and Inclusive Learning Experiences among University Undergraduate Students in Edo State, Nigeria. (2026). Federal University Gusau Faculty of Education Journal, 6(5), 66-73. https://doi.org/10.64348/zije.2026519