Cookies

We use cookies to ensure that we give you the best experience on our website. You can change your cookie settings at any time. Otherwise, we'll assume you're OK to continue.

Durham University

Research & business

View Profile

Dr Lei Shi, PhD

Personal web page

Assistant Professor in the Department of Computer Science
Telephone: +44 (0) 191 33 48131
Room number: E231

Contact Dr Lei Shi

I am an Assistant Professor in the Innovative Computing Group at Durham University. I hold a PhD in Computer Science from the University of Warwick and an MSc in Digital Art and Design from Zhejiang University. Before joining Durham Computer Science, I was a Research Fellow at the University of Warwick, and then a Lecturer at the University of Liverpool.

My research lies at the intersection of Human-Centred Computing (HCC) and Artificial Intelligence (AI). I investigate both theoretical aspects of Human-AI collaboration and its practical applications in real-world settings. I aim at enabling computers to reproduce and complement human abilities, work with humans, and facilitate human-human collaboration. I am particularly interested in how humans perceive, interact, collaborate and co-create with AI, especially in the fields of education and social innovation.

I have worked in the domain of Intelligent Tutoring Systems, where I implemented social interactions, open user modelling and gamification based on the theoretical underpinning of Social Constructivism, Self-Determination Theory, and Flow Theory, in order to improve learning engagement, efficiency and effectiveness. I have worked on Digital Crowdsourcing to improve Situated Engagement in the co-design of built healthcare and well-being environments. I have been working on Learning Analytics, where I use statistical modelling and machine learning to analyse massive and heterogeneous data to cluster learners, model behavioural patterns and predict learning outcomes, aiming at understanding and supporting learners in open-scale courses such as MOOCs (Massive Open Online Courses).

I am keen to supervise highly self-motivated PhD students who have similar research interests to mine. If you have a master degree in artificial intelligence, data science, applied statistics, human-technology interaction, cognitive sciences, cognitive and/or experimental psychology, learning science, applied linguistics, instructional design, industrial design, innovation sciences, or similar, you are encouraged to contact me with your research proposal (max. 2 pages), CV, degree transcripts (BSc and MSc) and other supporting materials.

You will be supervised by an interdisciplinary academic team (including myself) and be part of a broader cohort of students in the Innovative Computing Group.

PhD Project Ideas

  • Combining Human-Computer Collaboration and Machine Learning to build Intelligent Tutoring Systems that learn to collaborate with their human users (teachers and students) and guide their interaction and collaboration over time.
  • Implementing a gamified social learning environment for students with special needs (e.g. visual and hearing impairment), for them to be motivated, satisfied and engaged in learning.
  • Developing smart AR/VR/MR technologies to facilitate immersive environments that facilitate teaching and learning.
  • Fabricating sim-learners that can help train educational systems to be able to understand, predict and shape learning behaviours of students.

Research Groups

Department of Computer Science

Research Interests

  • Intelligent Tutoring Systems
  • Behavioural Analytics
  • Gamification
  • Explainable AI
  • Human-Computer Collaboration
  • Human-AI Co-creation

Selected Publications

Chapter in book

Conference Paper

Doctoral Thesis

  • Shi, Lei (2014). Scaffolding for Social Personalised Adaptive e-Learning. University of Warwick. PhD.

Journal Article

Show all publications

Supervises