Perceived Emotional and Interpersonal Skills Development in AI-Based and Human-Based Learning: A Survey of Secondary School Students in Ogun State, Nigeria
Authors
Department of Computer Science, Federal College of Education, Abeokuta (Full-Time Employment), Ronik Polytechnic, Ejigbo, Lagos State (Sabbatical Employment) (Nigeria)
Article Information
DOI: 10.51584/IJRIAS.2026.11060112
Subject Category: Education
Volume/Issue: 11/6 | Page No: 1454-1464
Publication Timeline
Submitted: 2026-06-05
Accepted: 2026-06-13
Published: 2026-06-27
Abstract
The rapid integration of Artificial Intelligence (AI) into educational settings has significantly transformed instructional delivery, prompting critical inquiry into its implications beyond cognitive outcomes. This study examined secondary school students' perceptions of AI-based and human-based instructional approaches in relation to the development of emotional and interpersonal competencies. Using a questionnaire survey administered to 1,200 secondary school students in Ogun State, Nigeria, the study assessed four key dimensions: empathy, motivational support, cultural responsiveness, and role modelling. Findings revealed that while AI-based learning is perceived as effective in enhancing personalisation, accessibility, and feedback efficiency, it is comparatively limited in fostering emotionally grounded and socially embedded learning experiences. Human-led instruction, by contrast, is perceived as more influential in nurturing empathy, relational trust, and interpersonal awareness, suggesting that concerns over AI supplanting teachers remain largely unfounded. These findings contribute to ongoing scholarly discourse in educational technology and support the case for a hybrid pedagogical model that strategically leverages AI capabilities alongside the socio-emotional affordances of human instruction.
Keywords
AI-Based, Emotional Skills, Human-Based, Interpersonal skills, Learning Methods, Technology-driven instruction
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References
1. Aishath, N., Haslinda, B. A., Steven, E. K., and Nobaya, B. A. (2019). A narrative systematic review of life skills education: effectiveness, research gaps and priorities. International Journal of Adolescence and Youth, 24:3, 362-379, DOI: 10.1080/02673843.2018.1479278. https://www.tandfonline.com [Google Scholar] [Crossref]
2. Akelaitis, A. V., and Malinauskas, R. K. (2016). Education of social skills among senior high school age students in physical education classes. Eur. J. Contemp. Educ. 18, 381–389. doi: 10.13187/ejced.2016.18.381 [Google Scholar] [Crossref]
3. Annapurna, A., and N. Lakshmi. (2024). Effects of Life Skills Training on Interpersonal Skills among Secondary School Students. Shanlax International Journal of Arts, Science and Humanities, 12(S1), 58–62. DOI: https://doi.org/10.34293/sijash.v12iS1-i2-Oct.8419 [Google Scholar] [Crossref]
4. Ayala-Pazmino, M. (2023). Artificial Intelligence in Education: Exploring the Potential Benefits and Risks. 593 Digital Publisher CEIT, 8(3), 892-899. [Google Scholar] [Crossref]
5. Bartlett, J. (2019). Social-emotional learning, health education best practices, and skills-based health: editor: sarah benes. J. Phys. Educ. Recreat. Dance 90, 58–60. doi: 10.1080/07303084.2019.1548185 [Google Scholar] [Crossref]
6. Brackett, M. A., Rivers, S. E., Reyes, M. R. and Salovey, P. (2019). Enhancing educational opportunities by integrating social-emotional learning into education policy and practice. Educational Psychologist, 54(4), 274-293. [Google Scholar] [Crossref]
7. Cerullo, M. (2023). Here is how many US workers ChatGPT says it could replace. MoneyWatch. www.cbsnews.com/news/chatgpt-artificial-intelligence-jobs. Retrieved on 24/7/2024 [Google Scholar] [Crossref]
8. Chan, C. K. Y. and Tsi, L. H. Y. (2023). The AI Revolution in Education: Will AI Replace or Assist Teachers in Higher Education. DOI:10.48550/arXiv.2305.01185 [Google Scholar] [Crossref]
9. Chen, L., Chen, P., and Lin, Z (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264-75278, [Google Scholar] [Crossref]
10. Chiu, T.K.F., Xia, Q., Zhou, X, Chai, C.S., Cheng, M. (2023). Systematic literature review on opportunities, challenges and future research recommendations of artificial intelligence in education. Journal of Computers and Education, 4, 100118. [Google Scholar] [Crossref]
11. Corcoran, R. P., Cheung, A. C., Kim, E., and Xie, C. (2018). Effective universal school-based social and emotional learning programs for improving academic achievement: a systematic review and meta-analysis of 50 years of research. Educ. Res. Rev. 25, 56–72. doi: 10.1016/j.edurev.2017.12.001 [Google Scholar] [Crossref]
12. Davis, F.D. (1989). Perceived Use-fulness, Perceived Ease of Use, and User Acceptance. MIS Quarterly, 13(3), 319-340 [Google Scholar] [Crossref]
13. Durlak, J. A., Weissberg, R. P., Dyminicki, A. B., Taylor, R. D., and Schellinger, K. (2011). The impact of enhancing students’ social and emotional learning: a meta-analysis of school-based universal interventions. Child Dev. 82, 474–501. doi: 10.1111/j.1467-8624.2010.01564.x [Google Scholar] [Crossref]
14. Escartí, A., Llopis-Goig, R., and Wright, P. M. (2018). Assessing the implementation fidelity of a school-based teaching personal and social responsibility program in physical education and other subject areas. J. Teach Phys. Educ. 37, 12–23. doi: 10.1123/jtpe.2016-0200 [Google Scholar] [Crossref]
15. Hattie, J. (2021). Visible learning for teachers: Maximizing impact on learning. Routledge. [Google Scholar] [Crossref]
16. Iku-Silan, A., Hwang, G.-J., and Chen, C. H. (2023). Decision-guided chatbots and cognitive styles in interdisciplinary learning. Computers & Education, 201, 104812. [Google Scholar] [Crossref]
17. Jiahong, S., and Weipeng, Y. (2022). Artificial intelligence in early childhood education: A scoping review. Computers and Education, 3, 10004. [Google Scholar] [Crossref]
18. Kauts, D. S., and Saini, J. (2022). Life Skill Based Education: A Systematic Narrative Review. MIER Journal of Educational StudiesTrendsandPractices, 12(2), 407–422. https://doi.org/10.52634/mier/2022/v12/i2/2261.http://www.mierjs.in/index.php/mjestp/article/view/226 [Google Scholar] [Crossref]
19. Korpershoek, H., Harms, T., de Boer, H., van Kuijk, M., and Doolaard, S. (2016). A meta-analysis of the effects of classroom management strategies and classroom management programs on students’ academic, behavioral, emotional, and motivational outcomes. Rev. Educ. Res. 86, 643–680. doi: 10.3102/0034654315626799 [Google Scholar] [Crossref]
20. Lee, D., and Yeo, S. (2022). Developing an AI-based chatbot for practicing responsive teaching in mathematics. Computers & Education, 191, 104646. [Google Scholar] [Crossref]
21. Liao, Y., Huang, R., Sun, C., and Li, X. (2021). Artificial Intelligence in Education: Opportunities and Challenges from a learning science perspectives. Frontiers in Education, 6, 1-7. [Google Scholar] [Crossref]
22. Liu, C. C., Liao, M. G., Chang, C. H., and Lin, H. M. (2022). An analysis of children’ interaction with an AI chatbot and its impact on their interest in reading. Computers & Education, 189, 104576. [Google Scholar] [Crossref]
23. Mafara, R. M. and Abdullahi, S. S. (2024). Adopting Artificial Intelligence (AI) in Education: Challenges and Possibilities. Asian Journal of Advanced Research and Reports, Vol. 18, No. 2, pp.106-111. DOI: 10.9734/AJARR/2024/v18i2608 [Google Scholar] [Crossref]
24. Malik, G., Tayal, D.K., and Vij, S. (2019). An Analysis of the Role of Artificial Intelligence in Education and Teaching. In Sa, P. K., Bakshi, S., Hatzilygeroudis, I. K. and Sahoo, M. N. (Eds), Recent Findings in Intelligent Computing Techniques. Springer Singapore Pte. Limited, pp. 407-417. [Google Scholar] [Crossref]
25. Malinauskas R and Malinauskiene V (2021) Training the Social-Emotional Skills of Youth School Students in Physical Education Classes. Front. Psychol. 12:741195. doi: 10.3389/fpsyg.2021.741195 [Google Scholar] [Crossref]
26. Mizumoto, A., and Eguchi, M. (2023). Exploring the potential of using an AI language model for automated essay scoring. Research Methods in Applied Linguistics, 2, 100050. [Google Scholar] [Crossref]
27. Mollick, E., and Mollick, L. (2023). Using AI to Implement Effective Teaching Strategies in Classrooms: Five Strategies, Including Prompts. Wharton School of the University of Pennsylvania & Wharton Interactive. From www.ssrn.com/abstract=4391243. Retrieved on 16/3/2024 [Google Scholar] [Crossref]
28. Moroianu, N., Iacob, S. E., and Constantin, A. (2023). Artificial Intelligence in Education: A Systematic Review. Proceedings of the 6th International Conference on Economics and Social Sciences, Bucharest University of Economic Studies, Romania, 15-16, June, 2023, pp. 906-921. [Google Scholar] [Crossref]
29. Mursidi, A., Buyung, B., Murdani, E., Pratiwi, P., Sulha, S., and Rustam, R. (2023). The Impact of Collaborative Learning on Interpersonal Intelligence. EST Journal of Educational Science and Technology, 9(2), 185-193. DOI: https://doi.org/10.26858/est.v9i2.38953 [Google Scholar] [Crossref]
30. Nwana, H. S. (1990). Intelligent Tutoring Systems: an overview. Artificial Intelligence Review, 4, 251-277. [Google Scholar] [Crossref]
31. Okunade A.I. (2024). The Role of Artificial Intelligence in Teaching of Science Education in Secondary Schools in Nigeria. European Journal of Computer Science and Information Technology, 12 (1), 57-67. doi: https://doi.org/10.37745/ejcsit.2013/vol12n15767 [Google Scholar] [Crossref]
32. Ray, P.P. (2023). ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope. Internet of Things and Cyber-Physical Systems, 3, 121-154. [Google Scholar] [Crossref]
33. Roorda, D. L., Koomen, H. M. Y., Spilt, J. L., and Oort, F. J. (2021). The Influence of affective teacher-student relationships on students’ school engagement and achievement: A meta-analytic approach. Review of Educational Research, 81(4), 493-529. [Google Scholar] [Crossref]
34. Sklad, M., Diekstra, R., Ritter, M. D., Ben, J., and Gravesteijn, C. (2012). Effectiveness of school-based universal social, emotional, and behavioral programs: do they enhance students’ development in the area of skill, behavior, and adjustment? Psychol Schools. 49, 892–909. doi: 10.1002/pits.21641 [Google Scholar] [Crossref]
35. Taylor, R. D., Oberle, E., Durlak, J. A., and Weissberg, R. P. (2017). Promoting positive youth development through school-based social and emotional learning interventions: a meta-analysis of follow-up effects. Child Dev. 88, 1156–1171. doi: 10.1111/cdev.12864 [Google Scholar] [Crossref]
36. ThinkML Team. (2022). Potential use of robotics in education systems, ThinkML. www.thinkml.ai.potential-use-of-robotics-in-education. Retrieved on 22/8/2024. [Google Scholar] [Crossref]
37. UNESCO (2021). AI and Education: Guidance for policy-makers. France, UNESCO. [Google Scholar] [Crossref]
38. Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes (M. Cole, V. John-Steiner, S. Scribner, & E. Souberman, Eds. & Trans.). Harvard University Press. (Original work published 1935) [Google Scholar] [Crossref]
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