Alistair Chong, School of Management, TSBE
As businesses increasingly adopt Generative Artificial Intelligence (GenAI) for previously outsourced tasks, preparing students to embrace this new organisational landscape is crucial (Eager, 2025). Applying the pedagogy before technology theory, an AI literacy intervention was designed and implemented for students studying BMA202 Business Strategy. This activity exposed over 200 students to the inherent challenges and limitations of GenAI tools (Xie et al., 2024), preparing them for an environment without AI safeguards. Student teams probed ChatGPT, Gemini and Co-Pilot with a single business strategy question, “Why do business strategies fail?”: critically comparing the responses (Ward et al., 2024). The effectiveness of this simple task was reflected in subsequent assessment tasks with the use of GenAI built into the assessment task. Students found the exercise valuable, with one remarking, "I didn't know it was capable of this, I am amazed" (Yang et al., 2024). The impact was evident in students' ability to critically analyse AI-generated statements, effectively use generative artificial intelligence, and both sense-check and fact-check outputs. This approach equips students with the necessary knowledge and tools to be efficient and effective in their future employment: potentially leading to greater job opportunities and improved employability metrics for the University. By embedding GenAI literacy into learning activities, students are better prepared to navigate the evolving business landscape and use GenAI tools ethically and effectively.
Eager, B. (2025). Transitioning towards AI-powered academia. In K. Hammond & N. Lemon (Eds.) Navigating Tensions and Transitions in Higher Education, (1st ed., pp. 71–81). Taylor & Francis.
Ward, D., Loshbaugh, H. G., Gibbs, A. L., Henkel, T., Siering, G., Williamson, J., & Kayser, M., (2024). How universities can move forward with generative ai in teaching and learning. Change: The Magazine of Higher Learning, 56(1), 47-54. https://doi.org/10.1080/00091383.2024.2297635
Xie, Y., Xia, W., & Qiu, Y., (2024, June). Construction and Implementation of Generative AI-Based Human-Machine Collaborative Classroom Teaching Model in Universities [Conference presentation]. International Conference on Blended Learning, Singapore.
Yang, Y., Luo, J., Yang, M., Yang, R. & Chen, J., (2024). From surface to deep learning approaches with Generative AI in higher education: An analytical framework of student agency. Studies in Higher Education, 49(5), 817-830. https://doi.org/10.1080/03075079.2024.2327003