Integrating STEM Education and Artificial Intelligence (AI): A Catalyst for Global Scientific And Technological Advancement in Nigeria
Keywords:
STEM Education, Artificial Intelligence, Technological Advancement, Nigeria Development, Scientific InnovationAbstract
The integration of Artificial Intelligence (AI) into STEM (Science, Technology, Engineering and Mathematics) education is essential for fostering scientific and technological advancement in Nigeria. As AI continues to shape industries worldwide, equipping students with AI-driven STEM skills is crucial for Nigeria’s economic growth and global competitiveness. This paper explores how AI-enhanced STEM education can catalyze innovation, addressing national challenges in healthcare, agriculture, energy and digital transformation. AI-powered educational tools, including adaptive learning systems, virtual laboratories and intelligent tutoring systems, offer personalised and interactive learning experiences that enhance problem-solving and critical thinking skills. Despite its potential, several challenges hinder AI integration into Nigeria’s STEM education. These include inadequate infrastructure, limited access to digital resources, lack of AI-skilled educators and policy gaps. Addressing these barriers requires strategic investments in educational technology, curriculum reform and capacity-building programs for teachers. Public-private partnerships and government-led initiatives can help bridge the digital divide and ensure inclusive AI-STEM education across urban and rural areas. This paper presents the impact of AI-driven STEM on student learning outcomes and innovation potential. It also provides policy recommendations to foster a robust AI-STEM ecosystem in Nigeria. By embracing AI in STEM education, Nigeria can cultivate a future workforce equipped to drive scientific discoveries, technological breakthroughs and sustainable development, positioning the nation as a key player in the global knowledge economy.
References
Abubakar, U., Onasanya, S. A., & Ibrahim, H. A. (2024). Student Perspectives and Impact of AI Integration in Pedagogical Practices in Nigerian Tertiary Institutions. Advances in Mobile Learning Educational Research, 4(2), 1135-1148. https://doi.org/10.25082/AMLER.2024.02.008
Aggarwal, D. (2023). Integration of Innovative Technological Developments and Ai with Education for an Adaptive Learning Pedagogy. China Petroleum Processing and Petrochemical Technology, 23(2).
Aghaziarati, A., Nejatifar, S., & Abedi, A. (2023). Artificial Intelligence in Education: Investigating Teacher Attitudes. AI and Tech in Behavioral and Social Sciences, 1(1), 35–42. https://doi.org/10.61838/kman.aitech.1.1.6
Alam, A. (2023). Harnessing the Power of AI to Create Intelligent Tutoring Systems for Enhanced Classroom Experience and Improved Learning Outcomes. Intelligent Communication Technologies and Virtual Mobile Networks, 571–591. https://doi.org/10.1007/978-981-99-1767-9_42
Al-Raimi, M., Mudhsh, B. A., Al-Yafaei, Y., & Al-Maashani, S. (2024). Utilizing Artificial Intelligence Tools for Improving Writing Skills: Exploring Omani Efl Learners’ Perspectives. Forum for Linguistic Studies, 6(2), 1177. https://doi.org/10.59400/fls.v6i2.1177
Aravantinos, S., Lavidas, K., Voulgari, I., Papadakis, S., Karalis, T., & Komis, V. (2024). Educational Approaches with AI in Primary School Settings: A Systematic Review of the Literature Available in Scopus. Education Sciences, 14 (7), 744. https://doi.org/10.3390/educsci14070744
Bakhmat, N., Romanova, I., Oronovska, L., Rudenko, O., & Mogyl, O. (2024). Ukrainian Education for Peace and Security (2023): Technological Convergence, Artificial Intelligence. Multidisciplinary Reviews, 6, 2023spe016. https://doi.org/10.31893/multirev.2023spe016
Cevik, J., Lim, B., Seth, I., Sofiadellis, F., Ross, R. J., Cuomo, R., & Rozen, W. M. (2023). Assessment Of The Bias Of Artificial Intelligence Generated Images And Large Language Models On Their Depiction Of A Surgeon. ANZ Journal of Surgery, 94(3), 287–294. Portico. https://doi.org/10.1111/ans.18792
Chan, C. K. Y. (2023). A Comprehensive AI Policy Education Framework for University Teaching And Learning. International Journal of Educational Technology in Higher Education, 20(1). https://doi.org/10.1186/s41239-023-00408-3
Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/access.2020.2988510
Chiu, T. K. F., Meng, H., Chai, C.-S., King, I., Wong, S., & Yam, Y. (2022). Creation and Evaluation of a Pretertiary Artificial Intelligence (AI) Curriculum. IEEE Transactions on Education, 65(1), 30–39. https://doi.org/10.1109/te.2021.3085878
Coelho, L., & Reis, S. S. (2023). Enhancing Learning Experiences through Artificial Intelligence. Fostering Pedagogy through Micro and Adaptive Learning in Higher Education, 169–191..https://doi.org/10.4018/978-1-6684-8656-6.ch008
Eze, S. C., Chinedu-Eze, V. C., & Bello, A. O. (2018). The Utilization of E-Learning Facilities in the Educational Delivery System of Nigeria: A Study of M-University. International Journal of Educational Technology in Higher Education, 15(1). https://doi.org/10.1186/s41239-018-0116-z
Holmes, R., & Bialik, K. (2016). Artificial Intelligence Is Creeping Into Education. Forbes. https://www.forbes.com retrieved online 26th February, 2025.
Howard, J. (2019). Artificial Intelligence: Implications for the future of work. American Journal of Industrial Medicine, 62(11), 917–926. Portico. https://doi.org/10.1002/ajim.23037
Hsiao, I. H., Chen, C. C., & Chung, C. J. (2018). The Impact of Artificial Intelligence in Education: A Systematic Review. International Journal of Distance Education Technologies, 16 (3), 58-78.
Ibrahim, A. B. (2024). Assessing the Knowledge and Perception of Artificial Intelligence for Teaching and Research among Lecturers in the Faculties of Arts in Nigeria. Journal of Global Research in Education and Social Science, 18(2), 25–33. https://doi.org/10.56557/jogress/2024/v18i28671
Johnson, L., Adams Becker, S., Estrada, V., & Freeman, A. (2016). NMC Horizon Report: 2016. Higher Education Edition. The New Media Consortium.
Kaplan, A., & Haenlein, M. (2020). Rulers of the World, Unite! The Challenges and Opportunities of Artificial Intelligence. Business Horizons, 63(1), 37-50
Kapoor, D., & Xu, C. (2022). Spinal Cord Injury AIS Predictions Using Machine Learning. Eneuro, 10(1), ENEURO.0149-22.2022. https://doi.org/10.1523/eneuro.0149-22.2022
Kim, S.W. (2024). Development of a TPACK Educational Program to Enhance Pre-service Teachers’ Teaching Expertise in Artificial Intelligence Convergence Education. International Journal on Advanced Science, Engineering and Information Technology, 14(1), 1–9. https://doi.org/10.18517/ijaseit.14.1.19552
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, 15(6), 314. https://doi.org/10.3390/info15060314
Li, X., Zhang, W., & He, K. (2020). Ai-Powered Design Software and Creative Thinking In Education. International Journal of Educational Technology in Higher Education, 17(1), 45 - 63
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence Unleashed: An Argument for AI in Education. Pearson Publishers
Maity, S. (2019). Identifying Opportunities for Artificial Intelligence In The Evolution Of Training And Development Practices. Journal of Management Development, 38(8), 651–663. https://doi.org/10.1108/jmd-03-2019-0069
Mohammed, L. A., Aljaberi, M. A., Amidi, A., Abdulsalam, R., Lin, C.-Y., Hamat, R. A., & Abdallah, A. M. (2022). Exploring Factors Affecting Graduate Students’ Satisfaction toward E-Learning in the Era of the COVID-19 Crisis. European Journal of Investigation in Health, Psychology and Education, 12 (8), 1121–1142. https://doi.org/10.3390/ejihpe12080079
Ofori, F., Maina, E., & Gitonga, R. (2020). Using Machine Learning Algorithms to Predict Students' Performance and Improve Learning Outcome: A Literature Based Review. Journal of Information and Technology, 4 (1), 33-55.
Papadakis, S., Kravtsov, H. M., Osadchyi, V. V., Marienko, M. V., Pinchuk, O. P., Shyshkina, M. P., ... & Striuk, A. M. (2023). Revolutionizing education: using computer simulation and cloud-based smart technology to facilitate successful open learning. https://doi.org/10.31812/123456789/7375
Paranjape, K., Schinkel, M., Nannan Panday, R., Car, J., & Nanayakkara, P. (2019). Introducing Artificial Intelligence Training in Medical Education. JMIR Medical Education, 5 (2), 16048. https://doi.org/10.2196/16048
Popenici, S. A. D., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12 (1). https://doi.org/10.1186/s41039-017-0062-8
Saidakhror, G. (2024). The Impact of Artificial Intelligence on Higher Education and the Economics of Information Technology. International Journal of Law and Policy, 2(3), 1– 6. https://doi.org/10.59022/ijlp.125
Samuel, Iwanger Ruth, & Amina Danladi Salisu. (2025). Shaping the Future of STEM Education in Nigeria through Artificial Intelligence. Journal of African Innovation and Advanced Studies, 7(2). https://doi.org/10.70382/ajaias.v7i2.011
Sanasintani, S. (2023). Revitalizing the Higher Education Curriculum through an Artificial Intelligence Approach: An Overview. Journal of Social Science Utilizing Technology, 1(4), 239–248. https://doi.org/10.55849/jssut.v1i4.670
Sapci, A. H., & Sapci, H. A. (2020). Artificial Intelligence Education and Tools for Medical and Health Informatics Students: Systematic Review. JMIR Medical Education, 6 (1), e19285. https://doi.org/10.2196/19285
Selwyn, N. (2022). The future of AI and education: Some Cautionary Notes. European Journal of Education, 57(4), 620–631. Portico. https://doi.org/10.1111/ejed.12532
Strohm, L., Hehakaya, C., Ranschaert, E. R., Boon, W. P. C., & Moors, E. H. M. (2020). Implementation of artificial intelligence (AI) applications in radiology: hindering and facilitating factors. European Radiology, 30(10), 5525–5532. https://doi.org/10.1007/s00330-020-06946-y
Tang, T., Li, P., & Tang, Q. (2022). New Strategies and Practices of Design Education under the Background of Artificial Intelligence Technology: Online Animation Design Studio. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.767295
Utterberg Modén, M., Tallvid, M., Lundin, J., & Lindström, B. (2021). Intelligent Tutoring Systems: Why Teachers Abandoned a Technology Aimed at Automating Teaching Processes. Proceedings of the 54th Hawaii International Conference on System Sciences. https://doi.org/10.24251/hicss.2021.186
Venkatasubramanian, V. (2018). The promise of artificial intelligence in chemical engineering: Is it here, finally? AIChE Journal, 65(2), 466–478. Portico. https://doi.org/10.1002/aic.16489
Wang, P. (2019). On Defining Artificial Intelligence. Journal of Artificial General Intelligence, 10(2), 1–37. https://doi.org/10.2478/jagi-2019-0002
Wood, E. A., Ange, B. L., & Miller, D. D. (2021). Are We Ready to Integrate Artificial Intelligence Literacy into Medical School Curriculum: Students and Faculty Survey? Journal of Medical Education and Curricular Development, 8, 238212052110240. https://doi.org/10.1177/23821205211024078
Xu, W., & Ouyang, F. (2022). The application of AI technologies in STEM education: a systematic review from 2011 to 2021. International Journal of STEM Education, 9(1). https://doi.org/10.1186/s40594-022-00377-5.
