Hello, I'm Dr Riyad Moosa
Biography
Dr Riyad Moosa is an Associate Professor in the Department of Accountancy at the University of Johannesburg and a Chartered Accountant CA(SA). He holds a Doctor of Business Administration. He also has master's and honours degrees in accounting sciences, along with professional qualifications in compliance management and Islamic banking. He has over a decade of professional and academic experience spanning auditing, corporate governance, Islamic finance, and educational innovation. He has published his work in reputable international journals, presented at many global conferences, and successfully supervised postgraduate students. Dr Moosa is deeply involved in setting national regulatory standards. He serves on the Independent Regulatory Board for Auditors (IRBA) Committee for Auditing Standards (CFAS). In this role, he currently serves as the deputy chair for the Medical Schemes Audit Guide task group. Previously, he chaired the task group for the revised ISA 570 Going Concern and contributed to the development and revision of other audit standards. He applies his strong background in governance and ethics to higher education. His recent work explores how educators can responsibly manage artificial intelligence. Specifically, he has developed a practical teaching method supported by artificial intelligence to help scale and create inclusive learning environments. As a recognised thought leader, he actively shares his research with broader audiences through mainstream business media. His recent articles focus on the practical use of artificial intelligence from the classroom to the boardroom.
Keynote Address:
The Interpersonal Architect Transforming Higher Education with AI-Supported Pedagogy
Higher education faces the challenge of using digital technologies to create accessible environments for diverse students while many academics worry about how artificial intelligence will change their roles. This presentation offers a practical solution to these challenges based on a successful framework used with more than 200 university students over two academic years. The talk will demonstrate how academics can adopt a pragmatic approach to support multimodal learning by using artificial intelligence to assist with creating animated avatars that deliver lessons. Instead of replacing educators, this method empowers them to become interpersonal architects who guide student learning while maintaining full control over lesson design. Through a real-world case study, attendees will discover a step-by-step method to design visual and auditory content. The session will explore using tools like Animaker to turn written text into engaging reading material and video lectures. It will also show how to extract audio from these videos to create standalone podcasts for mobile learning. Finally, the address will highlight how the time saved from automating content delivery can be used to focus in-person classes on active problem solving and mentoring. The ultimate value of this session lies in equipping academics with practical insights to use artificial intelligence responsibly and transform their classrooms into spaces for inclusive learning.
