AI evidence extraction

Reimagining Business Educators: Leveraging Generative AI for Enhanced Teaching

Joanne Chi-hang Tsoi, Karl Joachim Breunig · Proceedings of the ... European conference on management, leadership and governance · 2025

AI-generated evidence extraction, verified across multiple analytical personas. Not a substitute for the peer-reviewed original.

6/10

Relevance

0/4

Quality (LMQS)

Evidence

Citations

0.00

FWCI

This is an AI analysis. Read the peer-reviewed original at the publisher: https://doi.org/10.34190/ecmlg.21.1.4079

Methodology & findings

Study design

Scoping review with structured literature search.

Sample

N = 15, 2 groups

Primary method

No statistical methods applied. This is a qualitative scoping review using thematic analysis of selected literature.

Main result

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." Additionally, the study found that "much less emphasis was given to the research side of the duties of academic staff," and 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."

Reports effect sizes.

Research paradigm

Interpretivist/Qualitative synthesis

Author conclusions

The authors conclude that "This study contributes to the discourse of digital transformation and the potential of human-GAI collaboration in higher education," and emphasize that "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."

Risk of bias

Selection bias in database selection (WoS and ERIC only); Publication bias (peer-reviewed articles only, no gray literature); Language bias (likely English-language restriction implied); Time-limited search period (2019-2024); Manual screening processes subject to reviewer subjectivity; Selection bias: Manual screening process could introduce subjective bias in article selection; Language bias: Search limited to specific databases (WoS, ERIC) which may exclude non-English publications; Publication bias: Limited to published articles from 2019-2024, potentially missing grey literature; Timeframe limitation: Relatively recent phenomenon (GAI) may have limited historical evidence

Open questions raised

Discipline-specific studies on GAI in business education
Empirical evaluations of teaching work processes at tool-specific level
Research in different cultural contexts
Research on research work processes of academic staff (underexplored)
Institutional administration aspects of GAI integration
Faculty perspective on GAI impact (previously underexplored compared to student focus)

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