Maria Clara Dicataldo, Anna Dipace


The literature presents limited studies regarding the use of AI tools in the classroom. Through a conceptual content analysis carried out on the websites content of the top 100 BSs in the world, the present study intended to detect the implementation of AI tools in the classroom; the pedagogical approaches and training offered to instructors for its use. Only 6 websites out of 100 contained relevant information for the coding purpose and provided an answer to the research questions posed.


AI educational tools; business education; Business Schools; pedagogical approaches; faculty development.

Full Text:




Al Dhaen, E., Stone, M. D., & Mahmood, M. (2022). Higher education institutional strategies to sustain quality education: COVID-19 practices and lessons. In A. A. Mansoor (Ed.). Assessing University Governance and Policies in Relation to the COVID-19 Pandemic (pp. 37-48). IGI Global. DOI: 10.4018/978-1-7998-8279-4.ch003

Alhaidry, H. M., Fatani. B., Alrayes, J. O., Almana, A. M., & Alfhaed, N. K. (2023). ChatGPT in Dentistry: A Comprehensive Review. Cureus, 15(4), e38317. DOI:10.7759/cureus.38317

Baruch, Y. (2009). To MBA or not to MBA. Career Development International, 14(4), 388-406.

Bearman, M., & Ajjawi, R. (2023). Learning to work with the black box: Pedagogy for a world with artificial intelligence. British Journal of Educational Technology, 54(5), 1160-1173.

Boubker, O. (2024). From chatting to self-educating: Can AI tools boost student learning outcomes?. Expert Systems with Applications, 238, 121820.

Bozkurt, A. (2023). Generative artificial intelligence (AI) powered conversational educational agents: The inevitable paradigm shift. Asian Journal of Distance Education, 18(1), 198-204.

Brown, C., Varley, P., & Pal, J. (2009). University course selection and services marketing. Marketing Intelligence & Planning, 27(3), 310–325.

Chiu, T. K. F., & Chai, C. S. (2020). Sustainable curriculum planning for artificial intelligence education: A Self-Determination Theory perspective. Sustainability, 12(14), 5568.

Cooper, G. (2023). Examining science education in ChatGPT: An exploratory study of generative artificial intelligence. Journal of Science Education and Technology, 32(3), 444-452.

Crawford, J., Cowling, M., & Allen, K. (2023). Leadership is needed for ethical ChatGPT: Character, assessment, and learning using artificial intelligence (AI). Journal of University Teaching & Learning Practice, 20(3).

Dergaa, I., Chamari, K., Zmijewski, P., & Ben Saad, H. (2023). From human writing to artificial intelligence generated text: Examining the prospects and potential threats of ChatGPT in academic writing. Biology of Sport, 40(2), 615–622.

Fahimirad, M., & Kotamjani, S. S. (2018). A review on application of artificial intelligence in teaching and learning in educational contexts. International Journal of Learning and Development, 8(4), 106-118.

Fitria, T. N. (2021, December). Artificial intelligence (AI) in education: Using AI tools for teaching and learning process. In Prosiding Seminar Nasional & Call for Paper STIE AAS (pp. 134-147).

Hartley, M., & Morphew, C. C. (2008). What’s being sold and to what end? A content analysis of college view books. Journal of Higher Education, 79(6), 671–691.

Kaplan, A. (2018). A school is “a building that has four walls…with tomorrow inside”: Toward the reinvention of the business school. Business Horizons, 61(4), 599–608.

King, M. R. (2023). ChatGPT. A conversation on artificial intelligence, chatbots, and plagiarism in higher education. Cellular and Molecular Bioengineering, 16(1–2).

Lee, D., Arnold, M., Srivastava, A., Plastow, K., Strelan, P., Ploeckl, F., ... & Palmer, E. (2024). The Impact of Generative AI on Higher Education Learning and Teaching: A Study of Educators’ Perspectives. Computers and Education: Artificial Intelligence, 100221.

Lodge, J. M., Thompson, K., & Corrin, L. (2023). Mapping out a research agenda for generative artificial intelligence in tertiary education. Australasian Journal of Educational Technology, 39(1), 1-8.

Lotti, A., Anna, S., Beatrice, D., Picasso, F., & Felisatti, E. (2022). Teaching and Learning Centre: Analysis of Key Elements* Teaching and Learning Centre: una lettura analitica degli elementi costitutivi. Formazione & insegnamento, 20(2), 75-88.

Marino, J., Rivero, A. G., Dabos, G. E., Marino, J., Rivero, A. G., & Dabos, G. E. (2019). MBAs and career development: A literature review from the human capital perspective*. Cuadernos de Administración (Universidad Del Valle), 35(64), 110–127.

McGrath, C., Pargman, T. C., Juth, N., & Palmgren, P. J. (2023). University teachers' perceptions of responsibility and artificial intelligence in higher education: An experimental philosophical study. Computers and Education: Artificial Intelligence, 4, 100139.

Michel-Villarreal, R., Vilalta-Perdomo, E., Salinas-Navarro, D. E., Thierry-Aguilera, R., & Gerardou, F. S. (2023). Challenges and Opportunities of Generative AI for Higher Education as Explained by ChatGPT. Education Sciences, 13(9), 856.

Mogaji, E. (2016). University website design in international student recruitment: Some reflections. International marketing of higher education, 99-117.

Mogali, S. R. (2023). Initial impressions of ChatGPT for anatomy education. Anatomical Sciences Education, 2023(00), 1-4. DOI:10.1002/ase.2261

Mollick, E. R., & Mollick, L. (2023). Using AI to implement effective teaching strategies in classrooms: Five strategies, including prompts. Including Prompts (March 17, 2023).

Moogan, Y. J. (2011). Can a higher education institution's marketing strategy improve the student-institution match? International Journal of Educational Management, 25(6), 570–589.

Muposhi, A., Dhurup, M., Martin, R. L., & Bhadury, J. (2019). A pilot study of MBA programmes in South Africa. London Review of Education, 17(3).

Murugesan, S., & Cherukuri, A. K. (2023). The rise of generative artificial intelligence and its impact on education: The promises and perils. Computer, 56(5), 116-121. DOI:10.1109/MC.2023.3253292

Ng, D. T. K., Lee, M., Tan, R. J. Y., Hu, X., Downie, J. S., & Chu, S. K. W. (2023). A review of AI teaching and learning from 2000 to 2020. Education and Information Technologies, 28(7), 8445-8501.

Ojha, S., Narendra, A., Mohapatra, S., & Misra, I. (2023). From robots to books: An introduction to smart applications of AI in education (AIEd). arXiv preprint arXiv:2301.10026.

Pearce, J., & Chiavaroli, N. (2023). Rethinking assessment in response to generative artificial intelligence. Medical Education 2023, 1‐3. doi:10.1111/medu.15092

Peres, R., Schreier, M., Schweidel, D., & Sorescu, A. (2023). On ChatGPT and beyond: How generative artificial intelligence may affect research, teaching, and practice. International Journal of Research in Marketing, 40, 269–275.

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), 22.

Randerson, K. (2023). The futures of business schools: Identity, strategies, and imagined futures for a pandemic/post-pandemic world. Futures, 150, 103175.

Ratten, V., & Jones, P. (2023). Generative artificial intelligence (ChatGPT): Implications for management educators. The International Journal of Management Education, 21(3), 100857.

Seifert, A. (2020). The digital exclusion of older adults during the COVID-19 pandemic. Journal of gerontological social work, 63(6-7), 674-676.

Shoja M. M., Van de Ridder J., & Rajput, V. (2023). The emerging role of generative artificial intelligence in medical education, research, and practice. Cureus, 15(6), e40883. DOI 10.7759/cureus.40883

Smith, E. E., Kahlke, R., & Judd, T. (2020). Not just digital natives: Integrating technologies in professional education contexts. Australasian Journal of Educational Technology, 36(3), 1-14.

Sollosy, M., & McInerney, M. (2022). Artificial intelligence and business education: What should be taught. The International Journal of Management Education, 20(3), 100720.

Steinert, Y. (Ed.). (2014). Faculty development in the health professions: a focus on research and practice (Vol. 11). Springer Science & Business Media.

Thurzo, A., Strunga, M., Urban, R., Surovková, J., & Afrashtehfar, K. I. (2023). Impact of artificial intelligence on dental education: A review and guide for curriculum update. Education Sciences, 13(2), 150.

Vinay, S. B. (2023). Application of Artificial Intelligence (AI) In School Teaching and Learning Process-Review and Analysis. Information Technology and Management, 14(1), 1-5.

Wang, S., Sun, Z., & Chen, Y. (2023). Effects of higher education institutes’ artificial intelligence capability on students' self-efficacy, creativity and learning performance. Education and Information Technologies, 28(5), 4919-4939.


Financial Times. Business Schools Rankings. Global MBA, MBA 2024. Accessed on the 17thApril, 2024. Available at:



  • There are currently no refbacks.


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

Italian Journal of Health Education, Sports and Inclusive Didactics 
ISSN: 2532-3296