Data Science

Intelligent Tutoring Systems

With the substantial development of digital technologies in multimedia, network communication and user interfaces, we are seeing an increasing number of applications of these technologies, in particular computer gaming, elearning, high-definition and interactive TVs, and virtual environments. The development of these applications typically involves the integration of existing technologies as well as the development of new technologies.


Dr Frederick Li

Assistant Professor

Assistant Professor in the Department of Computer Science

Telephone: +44 (0) 191 33 44299

(email at


Personal webpage

Frederick Li received both a Bachelor of Arts (Honors) in Computing Studies and a Master of Philosophy from The Hong Kong Polytechnic University in 1994 and 1998, respectively, and a Ph.D. degree in Computer Graphics from the City University of Hong Kong in 2001. He is currently a Lecturer at the University of Durham. Prior to the current appointment, he was an Assistant Professor at The Hong Kong Polytechnic University from 2003 to 2006. From 2001 to 2003, he was the project manger of a Hong Kong Government Innovation and Technology Fund (ITF) funded project.

Frederick Li serves as an Associate Editor of International Journal of Distance Education Technologies on Communications Technologies (Distributed and Collaborative Learning). He has served as the Guest Editor of two journal special issues of International Journal of Distance Education Technologies. In addition, he has also served in the committee of a number of conferences, including ACM VRST 2004 – 2008CASA 2005ICWL 2005 – 2008. He serves as a Program Co-chair of ICWL 2007ICWL 2008IDET 2008 and IDET 2009. He also serves as a Workshop Co-chair of ICWL 2009 and U-Media 2009.

Research Groups

  • Innovative Computing

Indicators of Esteem

  • Conference Organization:
    • Publicity Co-Chair, ACM MM MTDL ‘2010
    • Publicity Co-Chair, IEEE U-Media ‘2010
    • Workshop Co-Chair, ICWL ‘2009
    • Workshop Co-Chair, IEEE JCPC ‘2009
    • Program Co-Chair, IDET ‘2008, ‘2009
    • Program Co-Chair, IDET ‘2007, ‘2008
  • Journal Editorialships:
    • Associate Editor (Communications Technologies), International Journal of Distance Education Technologies (JDET), (since 2007)
    • Editorial Review Board Member, International Journal of Cyber Ethics in Education (IJCEE), (since 2009)

Research Groups

  • Innovative Computing

Research Interests

  • Computer Graphics
  • Distributed Virtual Environment
  • Multimedia Systems
  • Surface Modeling
  • Virtual Reality


Learner Analytics

Learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimising learning and the information system in which it occurs. It combines expertise from different academic disciplines, such as predictive modelling. It is overlapping with another two rapidly developing fields, i.e., educational data mining and academic analytics, yet learning analytics is concerned with enhancing aspects of learning.


Professor Alexandra Cristea


Professor of Computer Science in the Department of Computer Science

Room number: E291

(email at


Alexandra I. Cristea is Professor, Head of the Innovative Computing research group at the Computer Science Department, Durham University. Her research includes web science, learning analytics, user modelling and personalisation, semantic web, social web, authoring, with over 250 papers on these subjects (over 3700 citations on Google Scholar, h-index 31). Especially, her work on frameworks for adaptive systems has influenced many researchers and is highly cited (with the top paper with over 180 citations and growing). She is within the top 50 researchers in the world in the area of educational computer-based research according to Microsoft Research. Prof. Cristea has been highly active and has an influential role in international research projects. She is experienced in running research projects and has led various projects – Newton funded workshop on Higher Education for All (’14-’18), Santander funded Education for disadvantaged pupils (’14-18′), Warwick-funded project APLIC (’11-;12), EU Minerva projects ALS (06-09) and EU Minerva ADAPT (’02-’05); as well as participated as university PI in several EU FP7 projects – BLOGFOREVER (’11-’13), GRAPPLE (’08- ’11), PROLEARN (’07) and as co-PI in the Warwick-funded Engaging Young People with Assistance Technologies (’13-’15) also featured by the BBC. Recently she has taken giving back to the community to a different level, with the project TechUP (2019-2020) training 100 women in computer science from various (BAME) backgrounds. She has been keynote/invited speaker, organiser, co-organizer, panelist and program committee member of various conferences in her research field (including, for example, ITS, AIED, UMAP, ED-MEDIA, Hypertext, Adaptive Hypermedia, ICCE, ICAI). She is a member of the editorial board of the IEEE Transactions on Learning Technologies, executive peer reviewer of the IEEE LTTF Education Technology and Society Journal and she was co-editor of the Advanced Technologies and Learning Journal. She acted as UNESCO expert for adaptive web-based education at a high-level (Ministry of Education and Educational institutes) meeting of East European countries, educational invited expert for the Romanian prime minister, as well as EU expert for H2020, FP7, FP6, eContentPlus. She has interacted with various international and local media (she has given a recent live radio interview to Power 106FM in Jamaica; work from her lab has been publicised by Free Radio Coventry & Warwickshire, Birmingham Post, Birmingham Mail,, The Daily Dot, Mirror, Vice Motherboard, BBC News, Pinterest, Globenewswire, Romanian TV). She is a BCS fellow, a HEA fellow, IEEE Senior Member and IEEE CS member, EATEL (European Association of Technology Enhanced Learning) founding member, ACM member.

IoC TechUP Project

100 (BAME) women will have the chance to be retrained in IT. The main page of the TechUP project is here.


Research Groups

  • Innovative Computing

Research Interests

  • Adaptive, personalised web
  • Applied AI
  • Learner Analytics Data Analytics
  • Semantic Web
  • Social Web
  • User Modelling
  • Web Science

Selected Publications

Journal Article

Chapter in book

Conference Paper

Show all publications

Media Contacts

Available for media contact about:

  • Computer Science: Web Science
  • Computer Science: Learner Analytics
  • Education: Learner Analytics