Artificial Intelligence and Counselling in Nigerian Schools: Confronting Challenges while Unlocking Prospects
Keywords:
tax administration, Direct Tax Reforms, Exemption Limit/Threshold Limit, Taxable slabs and Tax Rates, Tax-GDP Ratio, Tax Buoyancy, Integrity, Stewardship, A ccountability, Mammon of Unrighteousness, Business ethics, Performance, Higher education institutions, Turnover; Turnover costs, Nigeria, Predictive Analytics., School Counselling, Chatbots, Intelligent Tutoring Systems, Diffusion of Innovations.Abstract
Counselling in Nigerian schools remains constrained by limited personnel, inadequate training, and infrastructural challenges, leaving many students underserved in their academic, psychological, and socio-emotional needs. With counsellor–student ratios far exceeding recommended standards, traditional approaches struggle to meet the demands of Nigeria’s rapidly expanding school population. This paper explore Artificial Intelligence and Counselling in Nigerian Schools: Confronting Challenges while Unlocking Prospects. Artificial Intelligence (AI) offers promising solutions through tools such as chatbots, predictive analytics, and intelligent tutoring systems, which enhance accessibility, efficiency, and early identification of at-risk students. Drawing on the Diffusion of Innovations (DOI) framework, this paper examines both the opportunities and constraints of integrating AI into Nigerian school counselling, including issues of cultural localisation, ethical governance, infrastructural readiness, and sustainability. The discussion highlights hybrid models that combine AI-driven interventions with human expertise as the most viable pathway, ensuring empathy, ethical judgment, and cultural sensitivity are preserved. By outlining benefits, risks, and implementation strategies, the paper argues that responsible AI adoption can transform Nigeria’s counselling ecosystem, bridging gaps in student welfare and promoting equitable, inclusive educational outcomes.
References
O. Adegbite, T. Yusuf (2021) AI for learning analytics in sub-Saharan Africa: Opportunities and constraints. 5(1), 22-31.
A. Adeniyi (2018) School guidance and counselling in Nigeria: Issues and trends. 1(1), 12-21.
J. Ajiboye, C. Bakare (2019) Resource constraints and the practice of school counselling in rural Nigeria. 2(1), 44-55.
(2021) Annual report on counselling practice in Nigeria.
F. D. Davis (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. 13(3), 319-340.
S. C. Eze, V. C. Chinedu-Eze, A. O. Bello (2021) The utilisation of e-learning facilities in the educational delivery system of Nigeria: A study of two universities. 26(2), 1667-1687.
(2013) National policy on education (6th ed.).
L. Floridi, J. Cowls, M. Beltrametti, R. Chatila, P. Chazerand, V. Dignum, E. Vayena (2018) AI4People, an ethical framework for a good AI society: Opportunities, risks, principles, and recommendations. 28(4), 689-707.
W. Holmes, K. Porayska-Pomsta, K. Holstein (2022) Ethics in AI in education: Toward a community-wide framework. 53(3), 445-460.
(2022) Measuring digital development: Facts and figures 2022.
E. G. Lattie, E. C. Adkins, N. Winquist, C. Stiles-Shields, Q. E. Wafford, A. K. Graham (2019) Digital mental health interventions for depression, anxiety, and enhancement of psychological well-being among college students: Systematic review. 21(7), e12869.
R. Luckin, W. Holmes, M. Griffiths, L. B. Forcier (2018) Enhancing learning and teaching with artificial intelligence: Towards a roadmap for education.
N. Mehrabi, F. Morstatter, N. Saxena, K. Lerman, A. Galstyan (2021) A survey on bias and fairness in machine learning. 54(6), 1-35.
P. Obi, C. Nwachukwu, J. Alabi (2022) Artificial intelligence and the future of school counselling in Nigeria. 4(1), 59-73.
P. Obi, A. Nwankwo, S. Umar (2022) Digital counselling adoption in Nigerian schools.
T. Obi, C. I. O. Okeke, W. Adebite (2022) Artificial intelligence and the future of counselling in African schools. 14(2), 45-61.
P. Okeke, C. Ibenegbu (2020) Academic stress and mental health outcomes among Nigerian adolescents. 8(3), 41-55.
M. S. Olayinka, A. B. Loto (2020) Stigma and counselling utilisation among Nigerian secondary school students. 12(3), 44-53.
E. M. Rogers (2003) Diffusion of innovations (5th ed.).
S. Russell, P. Norvig (2021) Artificial intelligence: A modern approach (4th ed.).
S. B. Shum, N. Heffernan, R. Ferguson (2022) AI in education: Promises and implications for pedagogy and counselling. 53(6), 1431-1450.
G. Siemens, R. Baker (2022) Learning analytics and educational data mining: Towards a data-informed education system. 53(4), 1105-1120.
G. Siemens, P. Long (2019) Learning analytics: A foundation for informed change in education. 54(1), 27-40.
(2021) Global education monitoring report 2021/22: Non-state actors in education.
(2022) Artificial intelligence in African education: Emerging practices and policy pathways.
(2022) Ethics and governance of artificial intelligence for health: Guidance.
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