DrAntonette Shibani

Dr. Antonette Shibani is a Senior Lecturer at TransDisciplinary School (TD School), an award-winning educator and emerging research leader in AI in Education. She has a background in computer science engineering and teaches in the Master of Data Science and Innovation program. Her work spans learning analytics, automated feedback tools on writing, generative Artificial Intelligence (GenAI) for teaching and learning, the ethical and responsible use of AI and large language models, AI literacy, and inclusive education.

Shibani has a strong research profile and has served as a program committee member and reviewer for a number of conferences and peer-reviewed journals. She was an executive committee member of the Society for Learning Analytics Research (SoLAR) and co-hosted the podcast series ‘SoLAR Spotlight: Conversations on Learning Analytics’. She founded the Special Interest Group on Writing Analytics and co-edited the open-access book 'Digital Writing Technologies in Higher Education'. She also co-edited a Special Section on Generative AI and Learning Analytics and is an editorial board member for the Journal of Learning Analytics. With a wide authorship network of over 100+ international collaborators, she has won several merits for her impactful research and engagement (See Service and Leadership).

Shibani is committed to promoting gender and cultural diversity, particularly in emerging technologies such as AI. Her teaching incorporates ethical thinking among AI developers to foster responsible innovation, ensuring that AI technologies are developed with a focus on fairness, transparency, and societal well-being. Shibani was interviewed for the ABC article on AI’s biases in text-to-image generation (2023) and her contributions to the Inquiry into the Digital Transformation of Workplaces submission were referenced in the Future of Work Report, Australia (2025). Her detailed profile is published at https://antonetteshibani.com/.