Application of Artificial Intelligence in Strengthening Material Resources Management amongst Administrators in Vocational Enterprises Institutes in Abuja, Nigeria

Arah Zainab Isah, Binni Danjuma Beji, Umar Abdulhamid, Arah Abubakar Saidu

Abstract


This study investigated the application of Artificial Intelligence (AI) in strengthening material resources management among administrators in Vocational Enterprises Institutes (VEIs) in Abuja, Nigeria. Two research objectives guided the study: to examine the extent of AI application in material resources management and to identify factors hindering its adoption. The study adopted a cross-sectional descriptive survey design. The population comprised 54 administrators across six VEIs in Abuja, including 6 principals, 12 vice principals, and 36 heads of departments, with all participants included through a census approach. Data were collected using a structured questionnaire divided into sections on demographic information, extent of AI application, and hindering factors, rated on a five-point Likert scale. The instrument was validated by three experts and pilot-tested, yielding a Cronbach’s alpha of 0.87 for overall reliability. Data were analyzed using descriptive statistics (mean and standard deviation) to answer the research questions, and Analysis of Variance (ANOVA) was used to test the null hypotheses at a 0.05 significance level. The findings revealed a low extent of AI application in material resources management among administrators, with poor ICT infrastructure, limited training, budget constraints, and absence of policy frameworks identified as major hindrances. There were no significant differences among principals, vice principals, and heads of departments regarding both the extent of AI application and the factors hindering its use. The study recommended that the Federal Capital Territory Administration through the Department of Mass Education adopt AI-driven systems to enhance resource tracking, allocation, and maintenance, and invest in ICT infrastructure, training, adequate budgeting, and policy frameworks to mitigate barriers to AI integration in VEIs.


Full Text:

PDF

References


Adegbesan, S. O. (2019). Educational management: An introduction. Ibadan University Press.

Afolabi, F. (2021). Artificial intelligence and resource management in Nigerian secondary schools: Challenges and opportunities. International Journal of Education and Development, 8(2), 45–56.

Al-Emran, M., & Shaalan, K. (2020). Educational technology acceptance in the Gulf region: A systematic review. Computers & Education, 147, 103771. https://doi.org/10.1016/j.compedu.2019.103771

Aliyu, M., & Ibrahim, A. (2020). Administrative challenges in Unity Secondary Schools in Northern Nigeria. Journal of Educational Administration and Policy Studies, 12(4), 55–63. https://doi.org/10.5897/JEAPS2020.0685

Baker, R. S., & Siemens, G. (2019). Educational data mining and learning analytics. In M. J. Spector, B. B. Lockee, & M. D. Childress (Eds.), Learning, design, and technology (pp. 1–21). Springer. https://doi.org/10.1007/978-3-319-17727-4_9-1

Fraenkel, J. R., Wallen, N. E., & Hyun, H. H. (2019). How to design and evaluate research in education (10th ed.). McGraw-Hill Education.

Kumar, R., & Rajan, D. (2020). Perceptions of school leaders on artificial intelligence adoption in Indian secondary schools. Journal of Educational Technology Systems, 49(1), 25–44. https://doi.org/10.1177/0047239520925235

Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson Education.

National Board for Technical Education (NBTE). (2019). *Guidelines for the establishment and operation of Vocational Enterprise Institutions (VEIs) and Innovation Enterprise Institutions (IEIs) in Nigeria*. Kaduna: NBTE.

Nwankwo, J. I. (2018). Educational administration: Theory and practice. Spectrum Books.

Ogunleye, A. O., & Hassan, M. A. (2022). Administrators’ perceptions of artificial intelligence adoption in Nigerian universities. African Journal of Educational Management, 20(1), 55–70.

Ogunleye, T., & Alade, A. (2021). Transparency and accountability in Nigerian secondary school resource management. African Journal of Educational Research, 15(2), 87–101.

Okoye, P. U., & Adeyemi, K. (2021). National integration through Unity Secondary Schools in Nigeria: Achievements and challenges. Nigerian Journal of Education, 18(1), 112–124.

Russell, S., & Norvig, P. (2021). Artificial intelligence: A modern approach (4th ed.). Pearson.

UNESCO. (2022). Reimagining our futures together: A new social contract for education. UNESCO Publishing.

Usman, Y. D. (2019). The impact of resource management on educational development in Nigeria. International Journal of Education and Literacy Studies, 7(2), 98–105. https://doi.org/10.7575/aiac.ijels.v.7n.2p.98.

Zhang, J., & Lu, Y. (2020). Artificial intelligence in education: Perceptions and practices of school administrators in China. International Journal of Educational Research, 104, 101682. https://doi.org/10.1016/j.ijer.2020.101682.


Refbacks

  • There are currently no refbacks.