School of Computing and Mathematics
Explore this Section
- Faculty of Natural Sciences /
- School of Computing and Mathematics /
- Research /
- Research Groups /
- Knowledge Modelling
Recent news link:
(Sue Gerrard and Gordon Rugg)
See the Knowledge Modelling homepage for more information
How to choose the appropriate technique. The techniques include observation, interviews, think-aloud technique, card sorts, laddering, repertory grid technique, questionnaires and projective techniques.
This work may interest you if you are working in market research, product research, education, public opinion research or requirements engineering.
This includes modelling subjective knowledge more formally. Our work on the mathematics of desire involves finding measurable features of art and music which can be linked to people.s subjective aesthetic judgements. We are also investigating formal models of persuasion and the spread of ideas.
Human beings tend to make fairly predictable mistakes. If you know what these are, then you can check for them in a person.s reasoning. Our work on Verifier (verification of expert reasoning) involves checking for reasoning errors in research and design.
Different types of knowledge need to be taught in different ways. We are particularly interested in the types of knowledge which tend to be missed by traditional formal education and by teaching over the Internet.