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OU Analyse

Latest updates from The Open University.

About

OU Analyse is a system powered by machine learning methods for early identification of students at risk of failing. All students with their risk of failure in their next assignment are updated weekly and made available to the course tutors and the Student Support Teams to consider appropriate support. The overall objective is to significantly improve the retention of OU students. Please note that this is only available for staff of the Open University.

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Team

Miriam Fernandez

Miriam Fernandez

Professor Of Responsible Artificial Intelligence

knowledge-media-institute
Martin Hlosta

Martin Hlosta

Research Fellow (Visiting Status)

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Publications

Displaying 5 of 132 publications

  • Buran, L., Dhir, A., Pavón Pérez, n., Jurasz, O., Capdevila, R., Fernandez, M., Guy, H., Duddin, K., Morales Tirado, A. and Bandara, A., 2026, ‘Centre for Protecting Women Online response to Department for Science Innovation and Technology: Growing up in the online world: a national consultation’, Centre for Protecting Women Online; Ofcom., https://oro.open.ac.uk/110413/.
  • Buran, L., Dhir, A., Jurasz, O., Pavón Pérez, n. and Morales Tirado, A., 2026, ‘Centre for Protecting Women Online response to the United Nations Convention on the Elimination of Discrimination Against Women’s Call for comments - Draft general recommendation on gender stereotypes’, Centre for Protecting Women Online / United Nations Convention on the Elimination of Discrimination Against Women., https://oro.open.ac.uk/110415/.
  • Buran, L., Dhir, A., Jurasz, O., Pavón Pérez, n., Morales Tirado, A. and Fernandez, M., 2026, ‘Centre for Protecting Women Online's response to Home Office consultation: Consultation on a new legal framework for law enforcement use of biometrics, facial recognition and similar technologies’, Centre for Protecting Women Online / Home Office., https://oro.open.ac.uk/110416/.
  • Fernandez, M., Pavón Pérez, n., Ghia, D., Giallongo, D., Quercia, D., Cerquitelli, T. and Yaqub, M., 2026, ‘Assessing the Impact of Artificial Intelligence on Gender Disparities in the Labour Market’, The Centre for Protecting Women Online, The Open University., https://oro.open.ac.uk/109668/.
  • Pavón Pérez, n., Farrell, T., De Kock, C., Jurasz, O., Nozza, D. and Fernandez, M., 2026, ‘Still Unsafe: What’s Holding Us Back on Online Safety for Women’, AI and Ethics, 6, https://oro.open.ac.uk/109623/.
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