Submit your papersSubmit Now
For Enquiries: [email protected]
IIARD LogoIIARD

Application of Artificial Intelligence in Business Education Programme for Enhanced Learning Capabilities of Postgraduate Students in Rivers State Universities

Godpower, Yiraodi Joel, Dr. Chibuike Egbunefu, Onyeso Tomorrow Onyemaechi

Abstract

This study focused on the Application of Artificial Intelligence in Business Education Programme for Enhanced Learning Capabilities of Postgraduate Students in Rivers State Universities. The study was guided by three specific objectives, research questions, and hypotheses. A descriptive survey design was adopted. The population consisted of 111 Business Education postgraduate students from two state universities offering Business Education programmes. Since the population was small, no sampling was done. The data collection instrument was a questionnaire developed by the researchers and validated by three Business Education experts from Rivers State University. The test-retest method using Pearson Product Moment Correlation Coefficient (PPMCC) determined the instrument's reliability, yielding a coefficient of 0.69 meaning the instrument is reliable for the study. Out of 111 instrument distributed, 108 were retrieved and used for data analysis. Mean and Standard Deviation were used to answer the research questions, while t-test statistical tool with the aid of SPSS was used to test the hypotheses at a 0.05 significance level. The findings showed that postgraduate students in Rivers State universities agreed to a high extent that Postgraduate Business Education Students apply natural language processing (NLP), data analysis and predictive analytics and automation for enhanced learning capabilities of postgraduate students. Based on the findings, it was recommended that: Natural Language Processing (NLP) skills should be introduced to Business Education students through advanced courses or workshops focused on NLP fundamentals, including text analysis, sentiment analysis, and language generation techniques, Students should be engaged in specialized training sessions, conferences, webinars, and professional networks that focus on data analysis and predictive analytics and Institutions and non-government organizations should facili

Keywords

Application of Artificial IntelligenceBusiness Education ProgrammeEnhanced Learning Capabilitiesnatural language processing (NLP)automation featuresdata analysis and predictive analytics

References

Akkaya-Kalayci, T., & Yildirim, S. (2020). Ethics of artificial intelligence in education: A literature review. Journal of Educational Technology & Society, 23(3), 84-99. Akpomi, M. E, Nwile, C.B., & Kayii, N, E. (2022). Artificial intelligence, robotics, and information communication technologies: tools for business and management. Journal of political Science and leadership Research, 8(2), 8-18. Baker, R. S. J. d., & Siemens, G. (2014). Educational data mining and learning analytics. In J. Spector, M. Merrill, J. Elen, & M. J. Bishop (Eds.), Handbook of research on educational communications and technology (4th ed., pp. 131-141). Springer. Baroody, A., & Wilkins-Yel, K. G. (2021). Ethical considerations for the use of artificial intelligence in education. Journal of Educational Technology & Society, 24(2), 61-72. Black, P., & Wiliam, D. (1998). Assessment and classroom learning. Assessment in Education: Principles, Policy & Practice, 5(1), 7- 74. doi: 10.1080/0969595980050102 Blikstein, P. (2019). Artificial intelligence and education: The promises and perils of personalized learning. Journal of Computer Assisted Learning, 35(3), 231-244. doi: 10.1111/jcal.12342 Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W.W. Norton & Company. Bupo, G.O., & Akpomi, M. E (2023). Artificial intelligence, robotics, and information communication technologies: Tools for enhancing business and educational management. Journal of Business and Entrepreneurship Education, 2(1), 21-29. Bush, T., & Glover, D. (2014). Educational management: Major themes in education. London: Routledge. Chen, J., & Lerman, K. (2019). Ethical challenges of machine learning in education. In Proceedings of the 9th International Conference on Learning Analytics & Knowledge (pp. 481–485). ACM. Chen, X., Li, L., Li, X., & Li, J. (2021). A review of personalized learning based on artificial intelligence. International Journal of Emerging Technologies in Learning, 16(4), 35-47. Ecker, U. K. H., Langer, A. I., König, C. J., & Schmitz, E. A. (2018). Automated essay grading in the sociology classroom: Finding common ground. Teaching Sociology, 46(4), 283-292. Edeh, M. O., Sharma, C. E., Nwafor, A. G., Fyneface, S. S., & Edeh, E. C. (2020). Impact of emerging technologies on the job performance of educators in selected tertiary institutions in Nigeria. The Journal of Computer Science and its applications, 27 (1), 68-82. eletsianos, G. (2019). A case study of machine learning in education: Shifting ontologies. Educational Researcher, 48(7), 397-405. Girard, J. (2018). Will robots displace humans as teachers? Technology, globalization, and the future of education. European Journal of Education, 53(2), 171–183. Godpower, Y. J., & Egbunefu, J. (2024). Relationship Between Digital Entrepreneurship Skills and Wealth Creation Among Postgraduate Business Education Students in Rivers State Universities. Rivers State University Journal of Education (RSUJOE), 27(1), 171-178. Godpower, Y.J. & Egbunefu, C. (2024) Utilization of Electronic Platforms for Effective Distance Learning Among Business Education Postgraduates’ Students in Rivers State Universities. International Journal of Economics and Business Management. 10(4), 123-135. Gupta, A. (2020). Artificial intelligence in education: A systematic literature review. Education and Information Technologies, 25(5), 4389-4418. doi: 10.1007/s10639-020-10287-3. Hill, J., Song, Y., & West, R. E. (2020). Artificial intelligence and student assessment: Opportunities and challenges. Journal of Educational Technology & Society, 23(2), 1-12. Igbokwe, I.C. (2024) Application of Artificial Intelligence (AI) in Educational Management. International Journal of Scientific and Research Publications, Volume 13( 3) 300-308. Ihmeideh, F. M. (2020). Artificial intelligence in education: Opportunities and challenges. Education and Information Technologies, 25(1), 333-352. Kovanovi?, V., Joksimovi?, S., Poquet, O., Hennis, T., & de Graaff, E. (2019). Predictive modelling in education: Applications, trends, challenges, and future directions. Educational Technology Research and Development, 67(6), 1267-1304. doi: 10.1007/s11423-019- 09686-5 Kulkarni, A. S., Shabadi, S., & Hulipalled, V. (2019). An overview of automatic assessment of programming assignments. 2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS), Coimbatore, India, India, pp. 948-953. doi: 10.1109/ICACCS.2019.8827088 Kumar, A. (2019). A critical review of challenges in implementing artificial intelligence in education. Education and Information Technologies, 24(4), 2481–2504. https://doi.org/10.1007/s10639-019-09892-7. Leithwood, K., Seashore Louis, K., Anderson, S., & Wahlstrom, K. (2004). How leadership influences student learning. New York: The Wallace Foundation. Liu, Y., Zhao, S., Li, J., & Zhang, B. (2020). Intelligent chatbots in education: A review of recent advances. Educational Technology Research and Development, 68(1), 87-104. Mandernach, B. J., Gonzales, R. M., & Garrett, A. L. (2020). Artificial intelligence and the future of education: A multidisciplinary approach to research, policy, and practice. Routledge. Mason, M., & Rennie, F. (2018). Ethics and privacy in the adoption of learning analytics: A guide for academic leaders. EDUCAUSE Review, 53(6), 36-48. Okiridu, O.S. F., Ogwunte, P.C. and Godpower, Y.J. (2024). Emerging Technologies Adoption for Improved Job Efficiency in a Knowledge -Driven Work Environment. World Journal of Innovation and Modern Technology. 8(6), 56-66. O'Neil, K., & Chuang, I. (2019). AI in education: Promises and pitfalls. Harvard Business Review, 97(4), 68-74. Oztok, M., & Zingaro, D. (2019). Artificial intelligence in education. Springer. Peters, M. A., & Besley, T. (2020). AI, ethics and education: The governance of AI and the place of ethics in an age of intelligent machines. Education Sciences, 10(11), 313. Rui, Y., Chen, G., & Cui, W. (2020). Early warning systems for student academic performance: A review. Computers & Education, 154, 103910. doi: 10.1016/j.compedu.2020.103910 Singh, P., Nahar, A., & Kumar, S. (2021). Personalized learning with artificial intelligence: A systematic review of recent research. Computers & Education, 157, 104011. Singh, V., & Singh, A. (2021). Role of artificial intelligence in educational management. Journal of Education and Practice, 12(12), 78- 85. Smith, J. (2021). Applications of AI in Educational Management. International Journal of Educational Technology in Higher Education, 18(1), 1-17. https://doi.org/10.1186/s41239- 021-00279-9 Smith, J. (2022). Applications of artificial intelligence in educational management. Educational Technology Research and Development, 70(2), 457-478. https://doi.org/10.1007/s11423- 022-09981-1 Ukata, P.F., & Udeh, C. P (2022). Utilization of new technologies by business education lecturers for teaching accounting courses in tertiary institutions in Rivers State. International Journal of Innovative Information Systems & Technology Research, 10(2) 29-38 Wang, Y., Zhang, X., Li, H., & Wang, Z. (2020). The application of big data and artificial intelligence in educational management. In Z. Chen, S. Deng, & L. Wang (Eds.), Advances in intelligent systems and computing (Vol. 1107, pp. 221-227). Springer. Woolf, B. P. (2010). Building intelligent interactive tutors: Student-centered strategies for revolutionizing e-learning. Morgan Kaufmann. Zawacki-Richter, O., & Anderson, T. (2014). Open educational resources and the use of technology in higher education: A strategic approach. Open Praxis, 6(1), 29-43. doi: 10.5944/openpraxis.6.1.81 Zhang, J., & Li, S.

More Articles from WORLD JOURNAL OF INNOVATION AND MODERN TECHNOLOGY