Integration of Artificial Intelligence (AI) for effective teaching and learning of chemistry in colleges of education in South East Nigeria
DOI:
https://doi.org/10.20961/t781pj75Keywords:
Artificial intelligence, Benefit, Challenge, Chemistry, Colleges of Education, Teaching and LearningAbstract
The study assessed the integration of Artificial Intelligence (AI) for effective teaching and learning of Chemistry in colleges of education in South-East Nigeria, particularly Anambra and Ebonyi State. The research design was descriptive survey research design. The study was guided by three research questions and two hypotheses. The population of the study was 226, which consisted of both lecturers and students from two colleges of Education in Anambra and Ebonyi states; 115 from Nwafor Orizu College of Education Nsugbe and 111 from Federal college of Education Technical, Isu. purposive random sampling technique was used to select 180 lecturers and students for the study. The study used 165 final year undergraduate students (68 male students and 97 female students) and 15 lecturers (6 male and 9 female). The instrument for data collection was a structured questionnaire “Integration of Artificial Intelligence in Teaching and Learning of Chemistry in Colleges of Education” (IAITLCCE). To ensure the validity of the instrument the researcher submitted the questionnaire to two experts each from department of Chemistry and department of Psychology (measurement and evaluation specialist), both in Nsugbe and Isu. The reliability coefficient was established as 0.81 using test-retest method. Mean and standard deviation were used to answer the three research questions, while t-test statistic was used to answer the hypotheses at 0.05 level of significance. The findings of this study among others showed that both students and lecturers perceived that Artificial Intelligence (AI) is integrated to a moderate extent in the teaching and learning of Chemistry in Colleges of Education in South-East Nigeria. Also, the challenges encountered by institutions towards incorporating AI into the chemistry education are the high cost of AI tools, insufficient resources, poor training of teachers and students, difficulty in integrating AI into the existing curriculum and poor knowledge of the ethical considerations of AI. Although, the study reveals a generally positive perception of the benefits of AI in Chemistry education. Conclusion and recommendations were made among others is the establishment of partnerships with technology companies to provide students with internship opportunities and lecturers with professional training focused on AI and its usage in education.
References
Aldosari, S. A. (2020). The future of higher education in the light of artificial intelligence transformations. International Journal of Higher Education, 9(3), 145–151. https://doi.org/10.5430/ijhe.v9n3p145
Chan, C., & Tsi, L. (2023). The AI revolution in education: Will AI replace or assist teachers in higher education? Computers and Society. https://doi.org/10.48550/arXiv.2305.01185
Ezeiheukwu, C. M., Ibe, F. N., & Okongwu, D. J. (2024). Effect of information and communication technology on the interest and achievement of secondary school students in chemistry in Aguata Education Zone. Strata International Journal of Social Issues, 1(2), 87–105. https://doi.org/10.59631/sijosi.v1i2.231
Ezeliora, B. A., Ibe, F. N., & Obikeze, M. C. (2021). Comparative effects of teaching with improvised instructional materials and standard instructional materials on secondary school students’ academic achievement in chemistry. International Journal of Research in Education and Sustainable Development, 1(8), 27–40. https://doi.org/10.46654/IJRESD
Ibe, F. N. (2024). Assessing the integration of e-learning platforms in achieving effective teaching and learning of chemistry in colleges of education in South-East Nigeria: A case study of Anambra and Imo States. International Journal of Research Publication and Reviews, 5(2), 1948–1956.
Ibe, F. N., & Ikokwu, P. I. I. (2025). Influence of innovative teaching methods on chemistry students’ achievement in secondary schools in Awka South Local Government Area, Anambra State, Nigeria. Journal of Innovations in Science Education, 1(1), 60–72. https://jisepublications.org/journals/index.php/jise/article/view/6
Ibe, F. N., & Okosun, S. E. (2025). E-learning integration in post-secondary science education: Evidence from Anambra State, Nigeria. African Journal of Applied Research, 11(7), 358–370.
Ibe, F. N., Ezeliora, B. A., & Okafor, C. F. (2024). Effect of think-pair-share instructional strategy on secondary school students’ academic achievement in chemistry in Awka Education Zone, Anambra State. Action Research Journal Indonesia, 6(4), 221–235. https://doi.org/10.61227/arji.v6i4.215
Ibe, F. N., Obikeze, M. C., & Chikendu, R. E. (2021). Effect of improvised instructional materials on chemistry students’ academic retention in secondary school. International Journal of Research in Education and Sustainable Development, 1(5), 19–31. https://doi.org/10.46654/IJRESD.1520
Jain, S., & Jain, R. (2019). Role of artificial intelligence in higher education: An empirical investigation. International Journal of Research and Analytical Reviews, 6(2), 144–150.
JISC. (2021). AI in tertiary education: A summary of the current state of play (Report). https://repository.jisc.ac.uk/8360/1/ai-in-tertiary-education-report.pdf
Kolchenko, V. (2018). Can modern AI replace teachers? Not so fast! Artificial intelligence and adaptive learning: Personalized education in the AI age. HAPS Educator, 22(3), 249–252. https://doi.org/10.21692/haps.2018.032
Kuleto, V., Ilić, M., Dumangiu, M., Ranković, M., Martins, O. M., Păun, D., & Mihoreanu, L. (2021). Exploring opportunities and challenges of artificial intelligence and machine learning in higher education institutions. Sustainability, 13(18), 10424. https://doi.org/10.3390/su131810424
Mhlanga, D. (2021). Artificial intelligence in industry 4.0 and its impact on poverty, innovation, infrastructure development, and the sustainable development goals: Lessons from emerging economies. Sustainability, 13(11), 5788. https://doi.org/10.3390/su13115788
Musa, H., & Abdulkadir, A. (2025). Assessing the impact of AI-driven personalized learning platforms on chemistry students’ academic performance in Federal University of Education, Nigeria. African Journal of Educational Management, Teaching and Entrepreneurship Studies, 15(2). https://ajemates.org
Nwafor, S. C., & Tsakeni, M. (2025). Examining the integration of artificial intelligence in undergraduate chemistry education programmes. African Journal of Science, Technology and Mathematics Education, 11(2), 219–228. https://www.ajstme.com.ng
Nwafor, S. C., Ibe, F. N., & Muoneke, N. M. (2022). Optimizing information and communication technology applications in chemistry learning. Journal of Research in Instructional, 2(2), 151–162. https://doi.org/10.30862/jri.v2i2.92
Nwodu, G. E. (2025). Awareness and perception of the use of artificial intelligence for learning among select communication undergraduates in Nigeria. African Journal of Social Sciences and Humanities Research, 8(1), 113–130. https://doi.org/10.52589/AJSSHRQKE2A0EG
Park, J., Teo, T. W., Teo, A., Chang, J., Huang, J. S., & Koo, S. (2023). Integrating artificial intelligence into science lessons: Teachers’ experiences and views. International Journal of STEM Education, 10(1), 61. https://doi.org/10.1186/s40594-023-00442-7
Pedró, F. (2020). Applications of artificial intelligence to higher education: Possibilities, evidence, and challenges. International University of Catalonia Open Journal, 1(1), 61–76.
Slimi, Z. (2021). The impact of AI implementation in higher education on educational process future: A systematic review. Research Square. https://doi.org/10.21203/rs.3.rs-1081043/v1
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