Artificial Intelligence's Challenges and Opportunities for Management Education: A Journey of AI in Nonlinear Sciences
![](https://ejournal.yasin-alsys.org/files/sdoi.png)
![](https://ejournal.yasin-alsys.org/files/sgraph.png)
![](https://ejournal.yasin-alsys.org/files/spdf.png)
![](https://ejournal.yasin-alsys.org/files/Inter.png)
Please do not hesitate to contact us if you would like to obtain more information about the submission process or if you have further questions.
![](https://ejournal.yasin-alsys.org/files/whasaap.png)
Abstract
This study explores the problems and prospects of integrating Artificial Intelligence (AI) in management education, a field that has significantly evolved with technological advancements. AI has the potential to revolutionize management education by enhancing personalized learning, improving administrative efficiency, and providing data-driven decision-making support. However, challenges such as the digital divide, resistance to change among educators, data privacy concerns, and the substantial investments required for technology and training impede its widespread adoption. A mixed-methods approach, combining a literature review and survey, was employed to gather perspectives from the participants, including educators, administrators, and students. The findings reveal that while a major of institutions use AI for management education, significant concerns remain regarding data privacy, algorithmic bias, and the cost of implementation. The study underscores the need for comprehensive training, ethical guidselines, and increased funding to overcome these barriers. By addressing these challenges, management education institutions can effectively leverage AI to enhance learning outcomes, administrative efficiency, and overall educational quality. The paper provides valuable insights for educators, administrators, and policymakers aiming to integrate AI into management education, ensuring a smoother transition and greater acceptance among stakeholders.
![custom-fb-share](https://ejournal.yasin-alsys.org/files/fbs.png)
![custom-twitter-button](https://ejournal.yasin-alsys.org/files/twits.png)
![custom-fb-share](https://ejournal.yasin-alsys.org/files/was.png)
![custom-fb-share](https://ejournal.yasin-alsys.org/files/teles.png)
Citation Metrics:
![](https://ejournal.yasin-alsys.org/files/sgs-citations.png)
Downloads
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
References
Bieletzke, S. (2024). SMARTA - Chatbots as Individual Study Coaches for Tackling the Two Sigma Problem. https://www.researchgate.net/publication/380791601
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.
Elhajjar, X., Karam, S. and Borna, S., (2021). Artificial Intelligence in Marketing Education Programs. Marketing Education Review, [e-journal] 31(1), pp. 2-13. https://doi.org/10.1080/10528008.2020.1835492
EU Business School (2022) EU Business School How can the Metaverse be used in education? 2022. https://www.euruni.edu/blog/how-can-the-Metaverse-be-used-in-education/
Farooqui, A. (2024). eval_uating AI Readiness among University Students in Pakistan. 3rd IBA SBS International Conference 2024. Retrieved from https://ir.iba.edu.pk/sbsic/2024/program/37
Fotis, T. (2024). Educating the Next Generation of Perianesthesia Nurses to Navigate the Future of Tech-enabled Care. Journal of PeriAnesthesia Nursing. https://doi.org/10.1016/j.jopan.2024.03.021
Kaddoura S, Al Husseiny F. (2023). The rising trend of Metaverse in education: challenges, opportunities, and ethical considerations. PeerJ Computer Science 9:e1252 https://doi.org/10.7717/peerj-cs.1252
Katiyar, N., Awasthi, M. V. K., Pratap, R., & Mishra, M. K. (2024). AI-Driven Personalized Learning Systems: Enhancing Educational Effectiveness. Educational Administration: Theory and Practice. Doi: 10.53555/kuey.v30i5.4961
Kumar, A., Rani, M., Sisodia, D. R., & Perwej, Y. (2024). Transforming Education Through IoT and AI: Opportunities and Challenges. Educational Administration: Theory and Practice.
Neha, K., Kumar, R., & Sankat, M. (2024). AI Wizards: Pioneering Assistive Technologies for Higher Education Inclusion of Students with Learning Disabilities. https://link.springer.com/chapter/10.1007/978-981-97-0914-4_4
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. https://doi.org/10.1016/j.caeai.2021.100020
Russell, S., & Norvig, P. (2009). Artificial Intelligence: A Modern Approach (3rd ed.). Prentice Hall.
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. https://doi.org/10.1016/j.caeai.2023.100127
Surugiu, C., Grădinaru, C. and Surugiu, M.R., (2024).Artificial Intelligence in Business Education: Benefits and Tools. Amfiteatru Economic, 26(65), pp. 241-258. https://www.researchgate.net/publication/378321832
Zhang, L. (2024). Discussion on the Potential of ChatGPT in the Field of Early Childhood Education. Atlantis Press.
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. https://doi.org/10.1016/j.caeai.2021.100025.