Enhancing Global Business Education through Artificial Intelligence Application

Main Article Content

Helen Mwuese Kwaghtsulesega
Divine N. Obodoechi
Ogochukwu Christiana Anyanwu

Abstract

In the dynamic realm of global business, education's evolution is imperative. This study explores the transformative impact of artificial intelligence (AI) in global business education. Leveraging AI tools such as computer vision, natural language processing, and machine learning, the research uses a mixed-methods approach, including virtual focus groups and surveys across various institutions. Findings reveal a correlation between educational backgrounds and attitudes towards AI in education. The study highlights the necessity of understanding AI’s advantages and challenges in enhancing accessibility and personalized learning. Key recommendations include AI integration in teaching and assessment, with a focus on training educators and addressing privacy and gender diversity issues. Preparing students for AI-driven careers involves aligning curricula with industry needs and emphasizing soft skills. The study underscores the importance of collaboration between academic institutions, industry, and AI startups for curriculum development, advocating a comprehensive approach to AI integration in business education.

Article Details

How to Cite
Mwuese Kwaghtsulesega, H., N. Obodoechi, D., & Christiana Anyanwu, O. (2023). Enhancing Global Business Education through Artificial Intelligence Application. Xpertno International Journal of Interdisciplinary Research (XIJIR), 1(1), 81-99. https://doi.org/10.5281/zenodo.10458252
Section
Research Paper/Article

How to Cite

Mwuese Kwaghtsulesega, H., N. Obodoechi, D., & Christiana Anyanwu, O. (2023). Enhancing Global Business Education through Artificial Intelligence Application. Xpertno International Journal of Interdisciplinary Research (XIJIR), 1(1), 81-99. https://doi.org/10.5281/zenodo.10458252

References

Ahmad, T. (2020). Scenario based approach to re-imagining future of higher education which prepares students for the future of work. Higher Education, Skills and Work-Based Learning, 10(1), 217–238. https://doi.org/10.1108/HESWBL-12-2018-0136.

Allayarova, S.N. (2019). Implementation of modern information communication technologies (Ict) in higher education sector: International experience and the example of Uzbekistan. International Journal of Innovative Technology and Exploring Engineering, 9(1), 386–392. https://doi.org/10.35940/ijitee.A4146.119119.

Boulay B. (2016). “Artificial intelligence as an effective classroom assistant,” IEEE Intelligent Systems, vol. 31, no. 6, pp. 76–81, 2016.

Dai, C. S. Chai, P. Y. Lin et al. (2020). “Promoting students’ wellbeing by developing their readiness for the artificial intelligence age,” Sustainability, vol. 12, no. 16, pp. 1–15, 2020.

Estevez, J., Garate, G., & Grana, M. (2019). Gentle Introduction to Artificial Intelligence for High-School Students Using Scratch. IEEE Access, 7, 179027–179036. https://doi.org/10.1109/ACCESS.2019.2956136.

Favour Amarachi Moghalu, Honesta Chidiebere Anorue, Maureen Anayo Madu, Ugochukwu Justice Ololo, Oliver Okechukwu Okanazu, and Lilian Ogechi (2023). Cushioning the effects of covid-19 consumer experiences for optimum economic survival in the ‘new normal’ in Enugu state. Journal of African Studies and Sustainable Development. ISSN: 2630-7065 (Print) 2630-7073 (e). Vol. 3 No. 11. 2020.

Horakova, T. M. Houska, and L. Domeova (2017), “Classification of the educational texts styles with the methods of artificial intelligence,” Journal of Baltic Science Education, vol. 16, no. 3, pp. 324–336, 2017.

Kelleher, C., & Tierney, B. (2018). Artificial intelligence in education: Applications and prospects. AI Magazine, 39(3), 45-49.

Ku£ak, D., V. Juri£i¢, and G. Dambi¢ (2018). “Machine learning in education-a survey of current research trends,'' in Proc. 29th Int. DAAAM Symp., 2018, pp. 406-410.

Liao, Y., Huang, R., Sun, C., & Li, X. (2021). Artificial intelligence in education: Opportunities and challenges from a learning science perspective. Frontiers in Education, 6, 1-7.

Mahendra, Sanksshep. (2023). How is AI Being Used in Education.” Available at https://www.aiplusinfo.com/blog/how-is-ai-being-used-in-education/, accessed on May 23, 2023.

Mahendra, Sanksshep. 2023. How is AI Being Used in Education.” Available at https://www.aiplusinfo.com/blog/how-is-ai-being-used-in-education/, accessed on May 23, 2023.

Mather, R., and Yau, J. Y. (2019). Artificial intelligence education: Implications for teaching and learning. Educational Research Review, 27, 233-247. https:// doi.org/10.1016/j.edurev.2019.03.003.

Pangburn D. (2019). “Schools are using software to help pick who gets in. What could go wrong?”www.fastcompany.com/90342596/schools-are-quietly-turning-to-ai-to-help-pick-who-gets-inwhat-could-go-wrong.

Popenici, S.A.D., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12(1). https://doi.org/10.1186/s41039-017-0062-8.

Renz, A., and Hilbig, R. (2020). Prerequisites for artificial intelligence in further education: Identification of drivers, barriers, and business models of educational technology companies. International Journal of Educational Technology in Higher Education, 17(1). https://doi.org/10.1186/s41239-020-00193-3.

Rodríguez-Hernández, C.F., Musso, M., Kyndt, E., and Cascallar, E. (2021). Artificial neural networks in academic performance prediction: Systematic implementation and predictor evaluation. Computers and Education: Artificial Intelligence, 2. https://doi.org/10.1016/J.CAEAI.2021.100018.

Satya Vir Singh and Kamal Kant Hiran (2022). The Impact of AI on Teaching and Learning in Higher Education Technology. Journal of Higher Education Theory and Practice Vol. 22(13) 2022 135. https://articlegateway.com/index.php/JHETP/article/view/5514.

Sclater, N., & Peasgood, A. (2018). Artificial intelligence in education: Promises and implications for teaching and learning. British Journal of Educational Technology, 49(4), 745-760. doi: 10.1111/bjet.12638.

Sharma R. C, P. Kawachi, and A Bozkurt (2019). ``The landscape of artificial intelligence in open, online and distance education: Promises and concerns,'' Asian J. Distance Educ., vol. 14, no. 2, pp. 1_2, 2019.

Thompson G. and Cook I. (2017). “The logic of data-sense: thinking through learning personalisation”, Discourse: studies in the cultural politics of education Vol. 38, No. 5, pp. 740-54, available at https://doi.org/10.1080/01596306.2016.1148833. accessed 25 June 2022.

Tuomi Ilkka (2018). The Impact of Artificial Intelligence on Learning, Teaching, and Education. From: https://op.europa.eu/en/publication-detail/-/publication/5cb8eee3-e888-11e8-b690-01aa75ed71a1/language-en.

UNESCO (2021), Draft text of the Recommendation on the Ethics of Artificial Intelligence, https://unesdoc.unesco.org/ark:/48223/pf0000376713.

Wayne holmes, jen persson, irene-angelica chounta, barbara wasson and vania dimitrova (2022). “Artificial intelligence and education: a critical view through the lens of human rights, democracy and the rule of law”. Council of Europe (2022), https://www.fnac.com/livre-numerique/a18465001/Wayne-Holmes-Artificial-intelligence-and-education.

Williamson B. (2019). “Datafication of education: a critical approach to emerging analytics technologies and practices”, in Beetham H. and Sharpe R. (eds), Rethinking pedagogy for a digital age, pp. 212-26, available at https://doi.org/10.4324/9781351252805-14, accessed 25 June 2022.

Winfield A. F. T. and Jirotka M. (2018). “Ethical governance is essential to building trust in robotics and artificial intelligence systems”, Philosophical Transactions of the Royal Society A Vol. 376, No. 2133, available at https://doi.org/10.1098/rsta.2018.0085, accessed 25 June 2022.

Yi-Shan T and D. Gasevic (2017). “Learning analytics in higher Education-Challenges and policies: A review of eight learning analytics policies” in Proc. 7th Int. Learn. Anal. Knowl. Conf. Mar. 2017, pp. 233-242.

Zawacki-Richter, O., Marín, V.I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16(1). https://doi.org/10.1186/s41239-019-0171-0.

Zeide E. (2019), Artificial intelligence in higher education: applications, promise and perils, and ethical questions, Educause, available at https://er.educause.edu/articles/2019/8/artificial-intelligence-in-higher-education applications-promise-and-perils-and-ethical-questions, accessed 25 June 2022.

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