
Encourages critical thinking and analysis.
Always clear, engaging, and insightful.
Makes learning feel effortless and fun.
Always prepared and organized for students.
Always prepared and organized for students.
Dr. Sadia Nawaz is a Lecturer in the Department of Human Centred Computing within the Faculty of Information Technology at Monash University, where she also serves as Student Engagement Lead and Academic Staff Representative on the Faculty's Equity, Diversity and Inclusion Committee. She possesses extensive international experience in research and development, consultancy, academia, and teaching engineering and IT students in higher education. Her academic qualifications include a PhD in Computing and Information Systems from the University of Melbourne (2015–2021), an MSECE in Electrical and Computer Engineering from Purdue University West Lafayette (2010–2011), an MSc in Electronics Engineering (2006–2010), and a BSc (Hons) in Telecommunication and Electronics (2002–2006). Prior appointments at the University of Melbourne encompass Research Fellow (2021–2023), Machine Learning Tutor (2020–2021), and Academic Mentor (2019–2020).
Sadia's research specializations and interests focus on AI in education, learning analytics, educational technology, assessment, feedback, learning design, academic analytics, AI ethics, game-based and simulation-based learning, and the interplay between psychometric techniques and learning analytics. Her expertise extends to data science, machine learning, human-computer interaction, affective computing, and epistemic emotions and cognition. Notable publications include 'Towards reliable generative AI-driven scaffolding: Reducing hallucinations and enhancing quality in self-regulated learning support' (Computers and Education, 2026), 'Students’ Perceptions: Exploring the Interplay of Ethical and Pedagogical Impacts for Adopting AI in Higher Education' (International Journal of Artificial Intelligence in Education, 2025), 'Using Trace Data of Secondary Students to Understand Metacognitive Processes in Writing From Multiple Sources' (Journal of Computer Assisted Learning, 2025), and 'Behavioural transitions in team teaching: Comparing low and high experience teachers via Transition Network Analysis' (ASCILITE 2025 Conference Proceedings, 2025). With 32 research outputs comprising articles, conference papers, and chapters, her contributions align with UN Sustainable Development Goals 4 (Quality Education) and 10 (Reduced Inequalities). As Chief Investigator, she leads the project 'ICT: Integrating Equity, Diversity, and Inclusion (EDI) into ICT Education: A GenAI-Powered Approach to Curriculum Development,' funded by the Australian Council of Deans of Information and Communications Technology (2025). Sadia is currently accepting PhD students and supervises projects in citation analysis, social network analysis, game design, and teamwork analytics dashboards.