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Artificial Intelligence Competency and its Perceived Influence on the Employability of Business Education Students in Epe, Lagos State: Evidence from a Survey Study


Authors : Olayinka Rhoda David; Roseline Efosa Ekhaise; Elizabeth O. Ojo; Afeez Olalekan Bakare; Folashade Afisat Akande

Volume/Issue : Volume 11 - 2026, Issue 5 - May


Google Scholar : https://tinyurl.com/5n7v3rbt

Scribd : https://tinyurl.com/27hy23d8

DOI : https://doi.org/10.38124/ijisrt/26May466

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Abstract : Nigerian employees are adhering to the acquisition of Artificial Intelligence (AI) Competency as prerequisite to be employable for modern jobs but the level of AI competency gap is becoming a major concern for Business education students who may find it difficult to compete for jobs that require these skills. The study determines artificial intelligence competency and perceived influence on employability among Business education students. The study was guided by three research questions and employed a descriptive research design with a survey approach. The target population consisted of 2,291 Business Education students from public institutions in Epe, Lagos. Using the Taro Yamane formula, a sample size of 310 was calculated. Respondents were selected through simple random sampling. A researcher-developed questionnaire, labeled QAICPIBESEL, was validated by experts and subjected to a pilot test (with a reliability coefficient of r = 0.78) to gather data. Descriptive statistics, including mean and standard deviation, were utilized to address the research questions. Findings from the study showed the AI competency needed by Business education graduates are AI literacy, prompt engineering, data analytics literacy, ethical reasoning, privacy awareness, model limitations, workflow automation and decision intelligence with a grand mean (x = 3.30). Findings also revealed that many graduates are unaware of AI skills and their potential benefits, high costs and resource constraints inhibits or challenge the adoption of AI skills acquisition (x = 2.98). Findings also showed the acquisition make AI competency make students more attractive to employers (x = 3.23). The study concluded that AI competency influence business education students’ employability. It was recommended among others that, institutions should provide lab access, licenses, AI policy for ethical use to Business education students.

Keywords : Artificial Intelligence, Competency, Employability, Business Education Students, Epe.

References :

  1. Acquah, B. Y. S., Boateng, J. O., & Aboagye, A. K. (2024). Exploring the intent of preservice teachers to integrate AI into lesson design: A two-stage PLS-SEM analysis. Computers and Education: Artificial Intelligence, 7, Article 100307. https://doi.org/10.1016/j.caeai.2024.100307
  2. Adjei, A. (2018). Utilizing artificial intelligence to customize learning experiences within business education. International Journal of Business Education, 9(3), 145–158.
  3. Adeyemi, F. O. (2023). Assessing the economic barriers to implementing AI technologies in African higher education. African Journal of Educational Technology, 21(3), 112–127.
  4. Ahassan, M. A. (2022). Improving student outcomes in African schools through automated feedback and assessment systems. International Journal of Educational Innovation, 5(3), 44–58.
  5. Badu, S. (2020). Using AI-powered simulations to improve experiential learning models. Journal of Business Simulation, 7(1), 98–110.
  6. Becker, G. S. (1964). Human capital: A theoretical and empirical analysis, with special reference to education (1st ed.). National Bureau of Economic Research.
  7. David, O. R., Ojo, E. O., & Amoda M. M. B. (2024). Entrepreneurship Skills Needed by Business Education Students for Employability in Epe Local Government of Lagos State, Nigeria. Vocational and Technical Education Journal (4)1, 124-130.
  8. Enwedo, O. F. (2025). Utilizing artificial intelligence to optimize business education curricula. Global Journal of Education, Humanities and Management Science, 5(1), 69–79.
  9. Eze, J. C., & Okoro, I. N. (2022). Investigating security risks and ethical dilemmas of AI in educational settings. Journal of Educational Ethics, 14(1), 77–92.
  10. Eze, O., & Ndubuisi, P. (2021). The impact of AI automation on the career readiness of Nigerian office technology graduates. Journal of Business and Management Studies, 9(4), 103–117.
  11. Mbatha, B., Ndhlovu, T., & Sithole, P. (2021). Opportunities and hurdles for e-learning integration in South African higher education. Journal of African Digital Education, 7, 32–48.
  12. Mensah, P., & Osei, E. (2019). Analyzing the prospects and difficulties of AI adoption in business studies. Journal of Business and Technology, 15(2), 87–101.
  13. Ndlovu, T. S. (2023). How personalized learning via AI influences the field of business education. Journal of Educational Technology, 14(1), 34–50.
  14. Nkrumah, A. (2019). The effect of instantaneous feedback mechanisms on academic achievement. Educational Assessment Journal, 8(3), 177–190.
  15. Okeke, I., & Uzochukwu, N. (2022). AI’s influence on the digital proficiency of office technology students in Nigerian polytechnics. Journal of Educational Technology and Innovation, 14(30), 45–58.
  16. Okonkwo, C. E. (2022). Navigating the challenges and possibilities of AI in the Nigerian business education sector. Nigerian Journal of Business Studies, 10(3), 56–74.
  17. Osei, F. (2021). The shifting landscape of business education in the age of artificial intelligence. Journal of Business Innovation, 16(3), 134–147.
  18. Owusu, A., & Mensah, D. (2021). Assessing the impact of AI on administrative efficiency within educational institutions. International Journal of Educational Administration, 10(2), 89–102.

Nigerian employees are adhering to the acquisition of Artificial Intelligence (AI) Competency as prerequisite to be employable for modern jobs but the level of AI competency gap is becoming a major concern for Business education students who may find it difficult to compete for jobs that require these skills. The study determines artificial intelligence competency and perceived influence on employability among Business education students. The study was guided by three research questions and employed a descriptive research design with a survey approach. The target population consisted of 2,291 Business Education students from public institutions in Epe, Lagos. Using the Taro Yamane formula, a sample size of 310 was calculated. Respondents were selected through simple random sampling. A researcher-developed questionnaire, labeled QAICPIBESEL, was validated by experts and subjected to a pilot test (with a reliability coefficient of r = 0.78) to gather data. Descriptive statistics, including mean and standard deviation, were utilized to address the research questions. Findings from the study showed the AI competency needed by Business education graduates are AI literacy, prompt engineering, data analytics literacy, ethical reasoning, privacy awareness, model limitations, workflow automation and decision intelligence with a grand mean (x = 3.30). Findings also revealed that many graduates are unaware of AI skills and their potential benefits, high costs and resource constraints inhibits or challenge the adoption of AI skills acquisition (x = 2.98). Findings also showed the acquisition make AI competency make students more attractive to employers (x = 3.23). The study concluded that AI competency influence business education students’ employability. It was recommended among others that, institutions should provide lab access, licenses, AI policy for ethical use to Business education students.

Keywords : Artificial Intelligence, Competency, Employability, Business Education Students, Epe.

Paper Submission Last Date
31 - May - 2026

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