Rate My Professor Carlo Perrotta
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Makes complex ideas simple and clear.
Helps students see the value in learning.
Always patient, kind, and understanding.
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About Carlo
Carlo Perrotta is Associate Professor of Digital Education in the Faculty of Education at the University of Melbourne, a position he has held since 2023. Prior to this appointment, he occupied research and teaching posts at Monash University in the Faculty of Education, the University of Leeds, and the UCL Institute of Education in London. His academic career also includes an association with the Department of Education at the University of Oxford. Perrotta coordinates graduate-level subjects at the University of Melbourne, including Digital Transformation in Education (EDUC91329), Foundations: Digital Futures (EDUC91319), and Disciplined Inquiry Capstone (EDUC90989). His research centers on the role of technology in education, spanning pedagogy, policy, and broader societal impacts. Recent work particularly addresses automation, artificial intelligence, learning analytics, platform pedagogies, and the social life of educational data. This scholarship has been funded by major international bodies such as the Australian Research Council, the European Commission, the UK Economic and Social Research Council, and UNESCO.
Perrotta has published prolifically in prominent journals bridging education studies, sociology, and media studies. Key works include 'Game-based learning: Latest evidence and future directions' (2013, National Foundation for Educational Research, cited 880 times), 'Deep learning goes to school: Toward a relational understanding of AI in education' (2020, Learning, Media and Technology, cited 442 times), 'Do school-level factors influence the educational benefits of digital technology? A critical analysis of teachers' perceptions' (2013, British Journal of Educational Technology, cited 316 times), 'Automation, APIs and the distributed labour of platform pedagogies in Google Classroom' (2021, Critical Studies in Education, cited 298 times), 'The social life of learning analytics: Cluster analysis and the 'performance' of algorithmic education' (2018, Learning, Media and Technology, cited 225 times), 'Empowering learners with personalised learning approaches? Agency, equity and transparency in the context of learning analytics' (2020, Assessment & Evaluation in Higher Education, cited 214 times), and 'Digital technologies and the automation of education—key questions and concerns' (2023, Postdigital Science and Education, cited 201 times). His Google Scholar profile records over 4,100 citations, highlighting his contributions to critical data studies, platformization, and digital technology in education.
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