BLENDING ARTIFICIAL INTELLIGENCE IN BUSINESS EDUCATION: BENEFITS AND TOOLS

Christian Do-Good Nwosu

Abstract


Understanding the impact of artificial intelligence (AI) on education is vital for guiding teachers in developing educational tools. AI in education (AIEd) comes not only with opportunities but mostly with challenges for both educators and learners. Finding the proper tools to integrate AI into the learning framework represents a test for current and future generations. Even if most students acknowledged AI as a valuable tool, their interaction with AI in education seems more limited than expected. They mainly concentrated on few tools with higher awareness. This paper examines AI’s support for educational activities, key drivers, and tools for business education. Survey data collected from 254 learners were analyzed using multivariate binary logistic regression. Two research questions were formulated to verify if AI supports educational activities and what AI tools support business educational activities. Results show that learners appreciate AI for aiding lecturers in administrative tasks, personalizing learning plans, and saving time. However, learners are unfamiliar with most benefits of AI tools, except computer vision, edge computing, and AI chat bots. The paper highlights the need to increase the use of AI in education to make students more familiar with AI tools and capitalize on them in business education. In conclusion, the paper observed that despite the fact that AI supports educational activities by helping teachers develop personalized learning plans for each student, Business Education students have limited familiarity with AI benefits for teaching and learning. The paper therefore recommend among other things that tertiary institutions should actively promote the integration of AI tools to enhance the learning experiences in Business Education while training and support should be provided for business educators to ensure efficiency.


Keywords


Artificial Intelligence (AI), Artificial Intelligence in Education (AIEd), Instruments, Benefits, Romania

Full Text:

PDF

References


Al Braiki, B., Harous, S., Zaki, N. and Alnajjar, F., 2020. Artificial intelligence in education and assessment methods. Bulletin of Electrical Engineering and Informatics, [e-journal] 9(5), pp. 1998-2007. https://doi.org/10.11591/eei.v9i5.1984.

Antonenko, P. and Abramowitz, B., 2023. In-service teachers’ (mis)conceptions of artificial intelligence in K-12 science education. Journal of Research on Technology in Education, [e-journal] 55(1), pp. 64-78. https://doi.org/10.1080/15391523.2022.2119450.

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.

Crescenzi-Lanna, L., 2023. Literature review of the reciprocal value of artificial and human intelligence in early childhood education. Journal of Research on Technology in Education, [e-journal] 55(1), pp. 21-33. https://doi.org/10.1080/15391523. 2022.2128480.

Crompton, H., Jones, M. and Burke, D., 2022. Affordances and challenges of artificial intelligence in K-12 education: a systematic review. Journal of Research on Technology in Education, [e-journal]. https://doi.org/10.1080/15391523.2022.2121344.

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. https://doi.org/10.1186/s12909-022-03898-3.

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.

Hua, H., Li, Y., Wang, T., Dong, N., Li, W. and Cao, J., 2023. Edge Computing with Artificial Intelligence: A Machine Learning Perspective. ACM Computing Surveys, [e-journal] 55(9), pp. 1-35. https://doi.org/10.1145/3555802.

Hwang, W.-Y. and Nurtantyana, R., 2022. X-Education: Education of All Things with AI and Edge Computing - One Case Study for EFL Learning. Sustainability, 14(19), article no. 12533, pp. 1-23. https://doi.org/10.3390/su141912533.

Khosravi, H., Shum, S.B., Chen, G., Conati, C., Tsai, Y.S., Kay, J., Knight, S., Martinez-Maldonado, R., Sadiq, S. and Gasevic, D., 2022. Explainable Artificial Intelligence in education. Computers and Education: Artificial Intelligence, 3, article no. 100074, pp. 1-22. https://doi.org/10.1016/j.caeai.2022.100074.

Li, F., He, Y. and Xue, Q., 2021. Progress, Challenges and Countermeasures of Adaptive Learning: A Systematic Review. Educational Technology and Society, [e-journal] 24(3), pp. 238-255. https://www.jstor.org/stable/27032868.

Li, P. and Wang, B., 2023. Artificial Intelligence in Music Education. International Journal of Human-Computer Interaction, [e-journal] https://doi.org/10.1080/10447318.2023. 2209984.

Matzavela, V. and Alepis, E., 2021. Decision tree learning through a Predictive Model for Student Academic Performance in Intelligent M-Learning Environments. Computers and Education: Artificial Intelligence, [e-journal] 2, article no. 100035, pp. 1-12. https://doi.org/10.1016/j.caeai.2021.100035.

McGrath, C., Pargman, T.C., Juth, N. and Palmgren, P., 2023. University teachers’ perceptions of responsibility and artificial intelligence in higher education – An experimental philosophical study. Computers and Education: Artificial Intelligence, [e-journal] 4, article no. 100139, pp. 1-9. https://doi.org/10.1016/j.caeai.2023.100139.

Munir, H., Vogel, B. and Jacobsson, A., 2022. Artificial Intelligence and Machine Learning Approaches in Digital Education: A Systematic Revision. Information, [e-journal] 13(4), article no. 203, pp. 1-26. https://doi.org/10.3390/info13040203.

Muñoz, J.L.R., Ojeda, F.M., Jurado, D.L.A., Peña, P.F.P., Carranza, C.P.M., Berríos, H.Q., Molina, S.U., Farfan, A.R.M., Arias-Gonzáles, J.J. and Vasquez-Pauca, M.J., 2022. Systematic review of adaptive learning technology for learning in higher education. Eurasian Journal of Educational Research, [e-journal] 98(98), pp. 221-233. https://doi.org/10.14689/ejer.2022.98.014.

Nuseir, M., Basheer, M.F. and Aljumah, A., 2020. Antecedents of entrepreneurial intentions in smart city of Neom Saudi Arabia: Does the entrepreneurial education on artificial intelligence matter?. Cogent Business and Management, [e-journal] 7(1), pp. 1-16. https://doi.org/10.1080/23311975.2020.1825041.

Ohamobi, I.N, Anyaeche,I.C, Oguejiofor,C.S, Osegbue,G.C, Obi,I.E, Onyekazi.P.I, Anagor,N.A (2024).Professional development of teachers job commitment in public secondary schools in Anambra State. Journal of Higher Education Theory and Practice.24(2)63-73

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.

Skavronskaya, L., Hadinejad, A. and Cotterell, D., 2023. Reversing the threat of artificial intelligence to opportunity: a discussion of ChatGPT in tourism education. Journal of Teaching in Travel and Tourism, [e-journal] 23(2), pp. 253-258. https://doi.org/10.1080/15313220.2023.2196658.

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.

Tan, C., 2020. Digital Confucius? Exploring the implications of artificial intelligence in spiritual education. Connection Science, [e-journal] 32(3), pp. 280-291. https://doi.org/10.1080/09540091.2019.1709045.

Yang, D., Zhao, W., Du, J. and Yang, Y., 2022. Approaching Artificial Intelligence in business and economics research: a bibliometric panorama (1966–2020). Technology Analysis and Strategic Management, [e-journal] pp. 1-16. https://doi.org/10.1080/ 09537325.2022.2043268.

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.


Refbacks

  • There are currently no refbacks.


 

ISSN PRINT: 2705-2494

ISSN ONLINE: 2705-2486

 

 

   

 

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.