Looking Forward My journey since the VC award has been one of growth, integration, and renewed purpose. I have come to view teaching not as a discrete activity but as part of a larger ecosystem that includes research, innovation, and leadership. Going forward, my goals are threefold: 1. To further integrate AI and data science into undergraduate and postgraduate curricula, equipping students with essential 4IR skills. 2. To sustain and deepen my mentorship of postgraduate students, fostering scholarly independence and international visibility. 3. To contribute more actively to the Scholarship of Teaching and Learning, disseminating insights from my practice to broader academic communities. In all of this, my commitment remains unchanged: to prepare students not only to pass modules or complete degrees, but to “learn to be” adaptable professionals, innovative problem solvers, and responsible global citizens. References Bearman, M., Tai, J., Henderson, M., Esterhazy, R., Mahoney, P., & Molloy, E. (2024). Enhancing feedback practices within PhD supervision: a qualitative framework synthesis of the literature. Assessment & Evaluation in Higher Education, 49(5), 634-650. Kreber, C. (2023). On a pedagogy of authentic care in postgraduate research supervision. Studies in Higher Education, 48(12), 1796-1808. Ngwenya, B., Paepae, T., & Bokoro, P. N. (2025). Monitoring ambient water quality using machine learning and IoT: A review and recommendations for advancing SDG indicator 6.3. 2. Journal of Water Process Engineering, 73, 107664. Paepae, T., Bokoro, P. N., & Kyamakya, K. (2022). A virtual sensing concept for Nitrogen and Phosphorus monitoring using machine learning techniques. Sensors, 22(19), 7338. Paepae, T., Bokoro, P. N., & Kyamakya, K. (2023). Data augmentation for a virtual-sensor-based nitrogen and phosphorus monitoring. Sensors, 23(3), 1061. 87 A Journey of Innovation
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