TRAINING USING ARTIFICIAL INTELLIGENCE (AI) AND UPSKILLING OF BUSINESS EDUCATION FRESH GRADUATES FOR THE WORLD OF WORK

Dr. Edet E. Okon, Dr. Agnes Awoli Ewuru, Michael Bekomson

Abstract


This study determined the up-skilling level of pre-training skills and post-training skills possessed by fresh graduates of business education for the future of jobs using AI tools. The study answered one research question -What is the up-skilling level of pre- and post-training skills possessed by fresh graduates of business education for the future of jobs using AI tools? The study also tested one null hypothesis, ―There is no significant influence of pre- and post-training skills possessed by fresh graduates of business education on up-skilling for the future of jobs using AI tools‖.The ex post facto designs were adopted. This study was undertaken in Nigeria, and delimited to Cross River State, using graduates from the two public universities, the University of Cross River State (UNICROS), and the University of Calabar, Calabar (UNICAL). The population of the study was 205 fresh graduates, and 120 respondents were selected using an accessible sampling technique. Pre- and post-training competency (skills) analysis generated data analysed using item-by-item analysis graded in percentages for answers to research questions and Simple Linear Regression for the test of the null hypothesis. Findings reveal a high up-skilling level of pre-and post-training skills possessed by fresh graduates of business education for the world of work for the answer to the only research question; and significant influence of pre- and post-training skills possessed by fresh graduates of business education on up-skilling for the future of jobs using AI tools. Based on the findings made, it is concluded that training will continue to be meaningful and address the skill needs of fresh graduates with the potency to reposition them for the present and future of jobs. Again, the delivery of business education holds bright prospects for graduates with the use of AI and other modern tools. Based on the conclusion drawn, it is recommended that stakeholders in business education, especially lecturers, government training agencies, and industries should expose undergraduates to training with the use of AI tools. This would, therefore, prepare fresh graduates for the future of work with, or without training after graduation. This is necessary because not all organisations may engage graduates with the hope of training before the commencement of job schedules.
Keywords: Business education,fresh graduates,artificial intelligence,training, skills, future jobs


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References


Abdualiyeva, R. &Seitova, S. The use of case technology for the formation of information competence for the future teachers of Mathematics. Higher Education for the Future, 11: 32-46 (2024).

Álvarez, I., Cruces, J., & Trillo, F. Radical change and institutional resilience: The Case of labour market reforms in Southern Europe. Work, Employment and Society, 37: 1517-1543 (2023). https://doi.org/10.1177/09500170221090166

Bertron, C., Vélu, A.-E., Buisson-Fenet, H., & Dumay, X. The dualisation of teacher labourmarkets,employment trajectories and the State in France. Work, Employment and Society, 38: 318-338 (2024). https://doi.org/10.1177/09500170221128681

Donald, W. E. et al. Introducing a sustainable career ecosystem: Theoretical perspectives, conceptualisation, and future research agenda. Journal of Vocational Behaviour, 151: 1 – 14 (2024). https://doi.org/10.1016/j.jvb.2024.103989.

D‘Amours, M., Pogliaghi, L., Bellemare, G., Briand, L., & Hanin, F. Reconceptualising work and employment in complex productive configurations. Work, Employment and Society, 38: 63-82 (2024). https://doi.org/10.1177/09500170221103131

Ferreira, N.; Coetzee, M. and Potgieter, I. L. Predicting students‘ work world awareness through their readiness and competency for the digital world. Journal of Teaching and Learning

for Graduates‟ Employability, 15: 53 – 65 (2024). https://doi.org/10.21153/jtlge2024vol15no1art1788

Heilman, M. E., Caleo, S. & Manzi, F. Women at work: Pathways from gender stereotypes to gender bias and discrimination. Annual Review of Organisational Psychology and OrganisationalBehaviour, 11: 65 – 92 (2024)

Laine, T. H. & Lee, W. Collaborative Virtual Reality in Higher Education: Students‘ perceptions on presence, challenges, affordances, and potential. IEEE Transitions on Learning Technologies, 17: 280 – 293 (2024). doi.10.1109/TLT.2023.3319628.

MacKenzie, R., & McLachlan, C. J. Restructuring, redeployment and job churning within internal labour markets. Work, Employment and Society, 37: 1480-1496 (2023). https://doi.org/10.1177/09500170221080389

Marwecki, C. (2021). Understanding the impact of artificial intelligence on skill development.

Germany: UNESCO/UNEVOC Publications.

Okon, E. E., &Ewuru, A. A. (2024). Institution–industry resourcefulness and innovation in business education curriculum. Nigerian Journal of Business Education (NIGJBED), 11(1), 1–10

Okon, E. E., Ewuru, A. A., & Undie, S. B. (2024). Artificial intelligence and learning abilities of business education undergraduates in universities. International Journal of Developmental Research in Education (IJDRE), 4(1), 1–10. University of Uyo. ISSN Online: 2971-5482

Pareek, S. & Goncalves, J. Peer-supplied credibility labels as an online misinformation intervention. International Journal of Human-Computer Studies, 188, 1 - 17 (2024): https://doi.org/10.1016/j.ijhcs.2024.103276.

Rieth, M., Onnasch L. & Hagemann, V. Adaptable automation for a more human-centred work design? Effects on human perception and behaviour. International Journal of Human- Computer Studies, 186: (2024). https://doi.org/10.1016/j.ijhcs.2024.103246.

Wadhwa, R., Shcheglova, D., Opfer, E., &Garmonova, A. Teachers on the Move: Understanding the New Model of Virtual Mobility Through the Case Study of a Russian University. Higher Education for the Future, 11: 90-108 (2024). https://doi.org/10.1177/23476311231222965


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