ARTIFICIAL INTELEGENCE AS A TOOL FOR EFFECTIVE TEACHING AND LEARNING OF BUSINESS EDUCATION COURSES

Abubakar Musa Jubril, Mujeeb Bolaji ATOLAGBE

Abstract


This paper discussed the link of using artificial intelligence tools for effective teaching and learning of business education courses. The paper further discussed the meaning of artificial intelligence , types of artificial intelligence, artificial intelligence in education for learners, artificial intelligence in education for teachers, artificial intelligence tools for effective teaching and learning of business education courses and later concluded that Artificial intelligence as a tool for effective teaching and learning of business education courses cannot be over emphasized, it create succor in completing tasks that consume instructor‟s time at a faster pace, identifying students‟ preferences and learning styles to generate personalized learning plans, and providing them with timely and direct feedback or assisting teachers in their data-related decisions or works. The paper suggested that the government should ensure to provide enabling environment for effective use of artificial intelligence tools for effective teaching and learning of business education courses, business educators should embrace the use of artificial intelligence tools in teaching business education courses to reduce stress of attending to the needs of the students among others

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.

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. https://doi.org/10.13189/ujer.2020.082265.

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.

Asakura, K., Occhiuto, K., Todd, S., Leithead, C. and Clapperton, R., (2020). A Call to Action

On Artificial Intelligence and Social Work Education: Lessons Learned from A Simulation Project Using Natural Language Processing. Journal of Teaching in Social Work, [e- journal] 40(5), pp. 501-518. https://doi.org/10.1080/08841233.2020.1813234.

Chen, L., Chen, P. and Lin, Z., (2020). Artificial Intelligence in Education: A Review. IEEE Access, [e-journal] 8, pp. 75264-75278. https://doi.org/10.1109/ACCESS.2020.2988510.

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.

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.

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.

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.

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.

Ley, T., Tammets, K. et al (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. https://doi.org/ 10.1111/jcal.12844.

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.

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.

Ouyang, F., Zheng, L. and Jiao, P., (2022). Artificial intelligence in online higher education: A Systematic review of empirical research from 2011 to 2020. Education and Information Technologies, [e-journal] 27, pp. 7893-7925. https://doi.org/10.1007/s10639-022-10925-

Southworth, J., Migliaccio, et al (2023). Developing a model for AI Across the curriculum: Transforming the highereducation 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, S.J.H., Ogata, H., Matsui, T. and Chen, N.S., (2021). Human-centered artificial intelligence in education: Seeing the invisible through the visible. Computers and Education: Artificial Intelligence, [e-journal] 2, article no. 100008, pp. 1-5. https://doi.org/10.1016/j.caeai.2021.100008.

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-

https://doi.org/10.1016/j.caeai.2021.100025.


Refbacks

  • There are currently no refbacks.