The Digital Teacher: AI in Education

Dr. Eng Ofetotse is a researcher and Senior Lecturer in the Built Environment at the University of Greenwich, where she teaches building physics, renewable energy, sustainability, and construction technology. She is passionate about mentoring young people aspiring to careers in STEM and actively supports initiatives that promote gender diversity in engineering and science. A published researcher, she also serves as a guest editor and reviewer for several leading academic journals. Eng holds a BSc in Quantity Surveying and a PhD in Energy and Environmental Engineering from the University of Reading. Alongside her academic career, she is an experienced consultant, advising organisations on energy management, sustainability, and ESG best practices.

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Dr Farrah Arif is a Marketing academic passionate about bridging theory and practice. As a Commonwealth Scholar, she earned her PhD in Marketing from the University of Cambridge's Judge Business School. She is a Harvard Business School–trained academic. She is also a Fellow of the Higher Education Academy (FHEA), UK.

With over 20 years of academic and professional experience across the UK, South Asia, and Central Asia, she has taught, led programmes, designed curricula, and collaborated with industry on research and consultancy projects. Her expertise spans digital marketing, influencer strategy, and marketing analytics, underpinned by a strong commitment to pedagogical innovation and learner impact.

Currently, she is a Senior Lecturer (Associate Professor) in Marketing and Communications at Queen Mary School of Business and Management, where she serves as Co-Programme Director for the MSc Digital Marketing and Deputy Director Education - Teaching. Her mission is to inspire students and professionals alike to think critically, create strategically, and lead with integrity in a digitally evolving world.

Professor Richard Hill is a Fellow of the IET and a leading authority in Agentic AI and Applied Artificial Intelligence. A Chartered Engineer and National Teaching Fellow, he is known for translating academic research in Agentic AI into practical solutions that transform organisations and learning environments. As Professor of Intelligent Systems at the University of Huddersfield, he helps businesses and educators harness Agentic AI to build intelligent, autonomous systems that enhance productivity, innovation, and decision-making. His work integrates process engineering, generative AI, and enterprise systems to make Agentic AI adoption structured, ethical, and results-driven.