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Prof Kaska Porayska-Pomsta
UCL Institute of Education, Knowledge Lab
23-29 Emerald Street
London
WC1N 3QS
Prof Kaska Porayska-Pomsta profile picture
Appointment
  • Professor of Artificial Intelligence in Education
  • IOE - Culture, Communication & Media
  • UCL Institute of Education
Biography

I hold an MA Joint Honours in Linguistics and Artificial Intelligence (1997 - thesis topic: Polish-English Machine Translation) and a PhD in Artificial Intelligence (2003- thesis topic: Natural Language Generation for educational feedback), both from the University of Edinburgh, School of Informatics.  Prior to joining the UCL IOE in 2006 as a Research Councils UK Academic Fellow, I worked as a post-doctoral Research Fellow at the University of Edinburgh, School of Informatics.

I am presently 
  • Head of Research for the Department of Culture Communication and Media, 
  • Member of the Management Committee of the Centre for Educational Neuroscience, 
  • Executive Board Member of the International Society of Artificial Intelligence in Education, 
  • Associate Editor of the IEEE Journal of Teaching and Learning Technologies and the International Journal of Artificial Intelligence in Education.

Research Summary

In my research I attribute equal importance to the social scientific and engineering aspects of Artificial Intelligence in Education research. My research focuses on five inter-related areas at the intersection of AI, Learning and Psychological Sciences, and Education:

  • Computational modelling of human communication, aimed to enhance our understanding of the role and nature of communication in learning and socio-cognitive development;
  • Computational modelling of learners' behaviours in context, aimed to inform our understanding of cognitive and affective traits and states of relevance to successful learning, which knowledge can in turn inform the design of AI-driven systems for education;
  • AI as research methodology, aimed to demonstrate and curate the value of AI as an instrument for understanding complex human behaviours;
  • AI in service of social and educational inclusion, aimed to develop AI-driven educational interventions and support mechanisms in service of all learners;
  • AI and Ethics, looking specifically at questions around human vs AI autonomy, accountability as well as mechanisms for enabling explainable AI at scale.

Orcid ID: https://orcid.org/0000-0002-9433-4022

Teaching Summary


  • Module leader, Artificial Intelligence and Data Analytics in Education, MA Technology and Education
  • Module tutor, Educational Neuroscience

Academic Background
2004   Doctorat University of Edinburgh
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