Moffat Mathews

LecturerMoffat Mathews

Erskine 213
Internal Phone: 92452

Qualifications, Memberships & Awards

Research Interests

I am working in the area of Artificial Intelligence in Education (AIED). This means that I am interested in AI, Education (especially teaching strategies), Psychology (particularly to do with learning and behaviour), and of course Computer Science & Software Engineering.Our research group focuses on building intelligent and adaptive educational systems – systems that allow the student to explore and learn while receiving customised guidance. These systems are intelligent enough to * know about a particular domain semantically and syntactically (domain modelling), * know and reason about each student (student modelling) using their current knowledge on each of the domain concepts and the history of their performance in the system, * provide adaptive (customised) guidance to each student, * allow the student to see a visualisation of their student model, and * optionally allow the student to negotiate their student model (argue for a change in their student model). A change in their student model would lead to different adaptations.

Recent Publications

  • Chen X., Mitrovic A. and Mathews M. (2017) Does Adaptive Provision of Learning Activities Improve Learning in SQL-Tutor? Wuhan, China: 18th Int. Conf. Artificial Intelligence in Education, 28 Jun-1 Jul 2017. In Springer LNAI 10331 LNAI 10331: 476-479.
  • Chen X., Mitrovic A. and Mathews M. (2017) How much Learning Support should be provided to novices and advanced students? Timisoara, Romania: IEEE 17th Int. Conf. on Advanced Learning Technologies, 3 Jul-7 Oct 2017. In ISSN: 2161-377X: 39-43. http://dx.doi.org/10.1109/ICALT.2017.43.
  • Mitrovic A., Dimitrova V., Lau L., Weerasinghe A. and Mathews M. (2017) Supporting Constructive Video-based Learning: Requirements Elicitation from Exploratory Studies. Wuhan, China: Proc. 18th Int. Conf. Artificial Intelligence in Education, 28 Jun-1 Jul 2017. In Lecture Notes in Computer Science book series LNCS, volume 10331: 224-237. http://dx.doi.org/10.1007/978-3-319-61425-0_19.
  • Armstrong E., Mathews M. and Churcher N. (2016) Towards a social student model in a software engineering group project course. In ICCE 2016 - 24th International Conference on Computers in Education: Think Global Act Local - Main Conference Proceedings: 82-84.
  • Chen X., Mitrovic A. and Mathews M. (2016) Do Erroneous Examples Improve Learning in Addition to Problem Solving and Worked Examples? Zagreb, Croatia: 13th International Conference on Intelligent Tutoring Systems, 6-10 Jun 2016.