Rate My Professor Sakinah Alhadad

Alhadad's research operates at the intersection of psychology, learning sciences, and education, with key interests in learning analytics, student belonging, epistemic justice, participatory and co-design methods, and student wellbeing. Her translational work explores data visualization to enhance judgement, inference, and decision-making in educational settings. Notable publications include 'Visualizing Data to Support Judgement, Inference, and Decision Making in Learning Analytics: Insights from Cognitive Psychology and Visualization Science' (Journal of Learning Analytics, 2018), 'Individual and Interpersonal Emotion Regulation among Adults with Substance Use Disorders and Matched Controls' (British Journal of Clinical Psychology, 2018), 'Inferring Learning from Big Data: The Importance of a Transdisciplinary and Multidimensional Approach' (Technology, Knowledge and Learning, 2017), 'Understanding the Mediating Role of Teacher Inquiry when Connecting Learning Analytics with Design for Learning' (Interaction Design and Architecture(s), 2017), and 'Data from Four Consecutive Cohorts of Students in Australia (2019–2022) Show the Impact of the COVID-19 Pandemic on Domestic and International University Students’ Mental Health' (Australian & New Zealand Journal of Psychiatry, 2024). With more than 629 citations across 35 publications on Google Scholar, her scholarship has significantly impacted learning analytics, educational design, and mental health research in higher education. She has secured research grants and supervises postgraduate students in these areas.