TRAINING AND RETRAINING OF BUSINESS EDUCATION STUDENTS FOR SKILLS ACQUISITION IN ARTIFICIAL INTELLIGENCE FOR JOB PERFORMANCE IN EKITI STATE, NIGERIA

Jude Daniel Amakaino Utoware, PhD

Abstract


The study examined the training and retraining of business education students for skills acquisition in Artificial Intelligence for job performance in Ekiti State. Three research questions were answered while three null hypotheses were tested by the study at 0.05 level of significance. The design that was adopted for the study was a descriptive survey design. The population for the study comprised all the 10 Business Education lecturers in FUOYE and 52 Business studies teachers in public secondary schools in Oye-Ekiti, Ekiti State, totalling 62 respondents. The sample drawn comprised the 62 respondents using the total enumeration technique of census sampling. The instrument used was a self-structured questionnaire titled Training and Retraining of Business Education Students for Artificial Intelligence Knowledge (TRBESAI). It was face and content validated by three experts in the field of Business Education and Measurement and Evaluation. The reliability of the instrument using Cronbach alpha statistics yielded average reliability coefficients of 0.86. Sixty-two copies of the questionnaire were administered to the respondents and all were duly returned representing a 100% return rate and subjected to relevant statistical analyses. The results of the study identified 10 types of skills in Artificial Intelligence, 5 ways through which the training and retraining of business education students yield to the acquisition of Artificial Intelligence for quality job performance and 5 ways through which the acquisition of skills in Artificial Intelligence influence the job performance of business education students. Results of the hypotheses showed that there is no significant (p<0.05) difference between the mean ratings of the responses of Business Education Lecturers in FUOYE and Business Studies Teachers on the types of skills in Artificial Intelligence to be acquired by Business Education students and how the acquisition of skills in Artificial Intelligence influences the job performance of business education students. On the other hand, there is significant (p<0.05) difference between the mean ratings of the responses of Business Education Lecturers in FUOYE and Business Studies Teachers on whether training and retraining of business education students yield to the acquisition of Artificial Intelligence for quality job performance. It was recommended among others, that, Artificial Intelligence (AI) should be more extensively integrated into higher education curricula, and that institutions need to consider the ethical implications of AI in the development and implementation of their programmes.

Keywords: Artificial Intelligence, skills, Acquisition, Job, Performance, Training, Retraining

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References


Agber, I J (2021).Training and retraining of teachers as a precursor to academic staff performance in secondary schools in Benue state. Benue Sate University Journal of Educational Management. 3(1).

Akaba, j. &Osamuyi, A. B. (2022). The impact of training and retraining in improving manpower development amonglocal government employees of Oredo local government council, Edo State. Sapientia Global Journal of Arts, Humanities and Development Studies (SGOJAHDS), 5(3), 23 – 34.

Al-Zyoud, H.M.M. (2020). The Role of Artificial Intelligence in Teacher Professional Development.

Universal Journal of Educational Research, [e-journal] 8(11B), pp. 6263-6272.

Ay, F. A., & Keleş, K. (2017). The Effect of Transactional and Transformational Leadership

Styles on Intention to Leave and Job Performance. Gumushane University Journal of Health Sciences, 6(4), 193-203.

Çakır, A., &Gözoğlu, Ö. F. (2019). The Effect of Perceived Institutional Reputation on Job Performance and Intention to Leave: A Study on Hospitality Businesses in Şanlıurfa. Harran Üniversitesi İİBF Dergisi, 3(4), 46-71.

Chiu, T., Xia, Q., Zhou, X., Chai, C.S. and Cheng, M., (2023). Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education. Computers and Education: Artificial Intelligence, [e-journal] 4, article no. 100118. https://doi.org/10.1016/j.caeai.2022.100118.

Das, S., Dey, A., Pal, A. and Roy, N., (2015). Applications of artificial intelligence in machine learning: review and prospect. International Journal of Computer Applications, [e-journal] 115(9), pp. 31-41. https://doi.org/10.5120/20182-2402.

Edet, E., Okon, C., & Chukwurah, C. (2020). Technology-driven teaching skills‘ need of business education lecturers and content delivery in a globalised economy. Journal of Education and Learning (EduLearn). 14(3), 393~401.

Gülduran, Ç. A., &Perçin, N. Ş. (2020). The Effect of Big Five Personality Traits on Cyberloafing Behaviour and Job Performance: A Study in Hotel Businesses. Duzce University Journal of Social Sciences Institute, 10(1), 37-56.

Han, J. W., Park, J. and Lee, H., (2022).. Analysis of the effect of an artificial intelligence chatbot educational program on non-face-to-face classes: a quasi-experimental study. BMC Medical Education, [e-journal] 22, article no. 830, pp. 1-10.

Hopcan, S., Polat, E., Ozturk, M.E. and Ozturk, L., (2022). Artificial intelligence in special education: a systematic review. Interactive Learning Environments, [e-journal]. https://doi.org/10.1080/10494820.2022.2067186.

Ley, T., Tammets, K., Pishtari, G., Chejara, P., Kasepalu, R., Khalil, M., Saar, M., Tuvi, I., Väljataga, T. and Wasson, B., (2023). Towards a partnership of teachers and intelligent learning technology: A systematic literature review of model‐based learning analytics. Journal of Computer Assisted Learning, [e-journal] pp. 1397-1417.

.Morandini, S., Fraboni, F., De Angelis, M., Puzzo, G., Giusino, D., & Pietrantoni, L. (2023).The impact of artificial intelligence on workers‘ skills: Upskilling and reskilling in organisations. Informing Science: The International Journal of an Emerging Transdiscipline, 26, 39-68. https://doi.org/10.28945/5078

Nkomo, N. N., & Abdi, M. U. (2023).Impacts of Training and Retraining Teachers in Primary and Post Primary Schools for Better Performance. International Research Journal of Educational Research, 14(3), 1-6.

Oguejiofor, C. S., &Ezenwanne, . C. R. (2020). Training and retraining programme as a strategy for improving the quality of business education lecturers in public tertiary institutions in anambra state Global Journal of Education, Humanities and Management Sciences (GOJEHMS); 2(1), 144 – 153.

Ouyang, F. and Jiao, P., (2021). Artificial intelligence in education: The three paradigms.

Computers and Education: Artificial Intelligence, [e-journal] 2, article no. 100020, pp. 1-6. Southworth, J., Migliaccio, K., Glover, J., Glover, J., Reed, D., McCarty, C., Brendemuhl, J. and

Thomas, A., (2023). Developing a model for AI Across the curriculum: Transforming the higher education landscape via innovation in AI literacy. Computers and Education: Artificial Intelligence, [e-journal] 4, article no. 100127, pp. 1-10.

Udie, M. U. & Nwosu, O. B. (2023). Skills Required Of Business Education Graduates For Effective Job Performance In Modern Offices In Cross River State. International Journal of Innovative Education Research 11(2):183-192.

Yıldız, S., Savcı, G., & Kapu, H. (2014). The Effect of Motivational Factors on Employees‘ Job Performance and Intention to Leave. Celal Bayar Üniversitesi İ.İ.B.F Yönetimve Ekonomi Dergisi, 21(1). https://doi.org/10.18657/yecbu.75006

Zhang, K. and Aslan, A.B., (2021). AI technologies for education: Recent research and future directions. Computers and Education: Artificial Intelligence, 2, article no. 100025, pp. 1- 11.

Zilu, W., Enhui, B., & Min, L. (2024). An Evaluation of the Impact of Artificial Intelligence on university Students' Learning. Journal of Innovation and Development, 6(2), 22-25.

Zouhaier, S. (2023).The Impact of Artificial Intelligence on Higher Education: An Empirical Study.

European Journal of Educational Sciences, March 2023 edition, 10(1), 17-33.


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