Reimagining Business Educators: Leveraging Generative AI for Enhanced Teaching
DOI:
https://doi.org/10.34190/ecmlg.21.1.4079Keywords:
Generative AI, Educators, Business Schools, Higher Education, Human-machine collaboration, Academic work processesAbstract
Generative AI (GAI) is rapidly transforming the work processes of academic staff of higher education institutions (HEIs). Previous study focused on students’ use of GAI but the impact of GAI on faculty remains underexplored, especially in business schools in which there is a strategic importance in fostering innovation and developing future leaders. The integration of Generative AI tools, such as ChatGPT, is revolutionizing how business educators carry out their work in business schools. This paper presents a scoping review of a structured literature search identifying a core canon of recent articles addressing how GAI is changing the work conducted in business schools of Higher Educational Institutions. Literature searches were conducted in Web of Science (WoS) and Education Resources Information Centre (ERIC) databases from 2019 to 2024, using tailored search terms encompassing GAI, academic staff, business education and HEIs. A total of 502 articles were identified, with 211 from WoS and 291 from ERIC. After several stages of manual screenings, 15 final articles were obtained for this scoping review. The findings of the analysis reveal that GAI tools have integrated in the four major teaching work processes in business education: Curriculum Design, Pedagogical Methods, Student Engagement and Interaction and Assessments. In addition, the study surprisingly figured out that much less emphasis was given to the research side of the duties of academic staff. Our findings suggest that, under the human-GAI collaboration in teaching work processes in business schools, the role of educators have changed to be: Quality Controller, Scenario Facilitator, Strategic Mentor and Ethical Gatekeeper for the four major teaching work. Future research should focus on discipline-specific study, empirical evaluations of teaching work processes at tool-specific level, and in different cultural context. More research should also be conducted on researching work processes and institutional administration. This study contributes to the discourse of digital transformation and the potential of human-GAI collaboration in higher education.