AI for Marking: What It Can (and Cannot) Do in University Assessment
A practical, evidence-based look at how AI can support marking and feedback in higher education without compromising fairness or academic standards.
Dr Riasat Islam is a researcher and academic passionate about using technology to improve healthcare, well-being, and education. Currently a Lecturer at the School of Electronic Engineering and Computer Science, Queen Mary University of London, his research centres around Human Computer Interaction, Artificial Intelligence and Islamic Computing. He made contributions, including high-impact journal publication and a software launch. This work has led to knowledge transfer and consultancy with a medical device startup. Additionally, he has co-founded the Greentech Apps Foundation, a software non-profit with 3M+ users worldwide. He aims to create tech solutions that empower individuals and foster positive societal change.
PhD in Computing
The Open University
MSc ICT Innovation
KTH Royal Institute of Technology & University College London
BSc Engg in Electrical and Electronic Engineering
Islamic University of Technology
A practical, evidence-based look at how AI can support marking and feedback in higher education without compromising fairness or academic standards.
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