AI and Education Group
AI and Education Group
This page contains information about:
Eshaa AlKhalifa, PhD student: Models of cognitive representation; reasoning; and looking into the significance of mapping spatio-temporal reasoning onto constraint based reasoning with respect to learning.
Anders Bouwer, MSc By Research Student, Dialogue Structure in relation to Teaching Strategies.
Marcio Brandao, PhD Student, Artificial Intelligence applied to Music Education.
Marco Carvalho, PhD Student: his research is on student modelling applied to adult literacy based on phonological awareness approaches and Paulo Freire's generative themes concept.
Tom Conlon, Most of his work is concerned with the design and use of Information Technology systems in Education, particularly education at school level. Special interests include the design of expressive tools for learners, including knowledge based modelling tools and concept mapping tools; teacher education, including teacher education related to IT; critical perspectives on new technology in education; and logic programming, including concurrent and object-oriented LP.
Richard Cox, Reader, School of Cognitive and Computing Sciences, University of Sussex and Honorary Fellow, Division of Informatics, Faculty of Science and Engineering, University of Edinburgh. Reasoning with external representations: supporting the stages of selection, construction and use.
Angel de Vicente, PhD Student, interested in motivation in language learning and implementation of some of the motivational aspects in ICALL systems. The main issues related to the student's motivational state are: How to diagnose it, how to model it, and how to deliver an adaptive instruction based on it. In order to test the implementation possibilities of each of these issues, an ICALL system to teach basic Spanish will be developed.
Judith Good, Research Fellow (HCRC): Novice use of abstract visual representations of recursion.
Rafael Morales, PhD Student: The primary focus of his research is the effects on the learner of having access to the content of the learner model; a special case of what he calls Participative Learner Modelling.
Helen Pain, Senior Lecturer: The development of tools and computer-based environments to support learning; special education, writing and language teaching; methods and tools for teaching Prolog.
Kaska Porayska-Pomsta, PhD Student: Natural Language Generation, particularly interested in speech act categorisation in educational context.
Michael Ramscar, Lecturer: cognitive models of concept representation; analogy; reconciling design concepts to established notions of artefacts; recognising student misconceptions.
Judy Robertson, PhD Student, implementor of intelligent tutoring systems on the Web.
Paulo Salles, PhD Student: (supervised jointly with Robert Muetzelfeldt in IERM, Institute of Ecology and Resource Management) Qualitative models in ecology and their use in intelligent tutoring systems.
Chi-chiang Shei, PhD Student, MA in Linguistics (National Chengchi University - Taiwan), PhD in English (Teaching English as a Second Language - National Taiwan Normal University), MPhil in Applied Linguistic (The University of Cambridge). Research interest in natural language processing, especially in dialogues systems used in second language teaching.
Shari Trewin Research Fellow: assistive technology (particularly adaptive interfaces and input devices); accessible interface design; user modelling; intelligent tutoring systems; music education.
Paul Brna, Lecturer, Computer Based Learning Unit, Leeds University & Honorary Fellow, Dept of AI, Edinburgh University: issues in collaborative learning, virtual reality, external representations, simulation-based learning and adaptive learning environments. Analysis of errors and misconceptions - particularly in the domains of physics and programming; programming support tools including ones for both program construction and debugging.
Susan Bull, Research Fellow, University of Brighton: Inspectable student Models
John Lee, Deputy Director, (HCRC; Director, EdCAAD, Dept. of Architecture) : Reasoning with graphical and other representations. "Vicarious learning" and learning through dialogue. Relationships between learning and design, and design education.
Geraint Wiggins, Lecturer: Computers & creativity, in particular musical creativity. Modelling musical behaviour in composition, analysis, perception and performance. Educational computer systems for music.
The group runs its own series of seminars on AI and Education and related fields, with speakers from all over the UK and the rest of Europe. The default location and time is room F13, 80 South Bridge, on Fridays from 11:30 to 13:00, but here is a more detailed schedule. All are welcome; tea and biscuits are provided, so bring your own mug.
Here are some links to other seminars which might be of interest:
The group maintains copies or links to some of its publications.
Our group maintains a list of conferences related to AI in Education.
This is our collection of links to other AI and/or Education material.
This information is accessible only for AI-ED Group members. It contains the minutes of previous group meetings.
Enquiries about the group should be adressed to the following adress:
Dr. Helen Pain| Telephone: | 0131-650-2719 (International: +44-131-650-2719) |
| 0131-650-6839 (International: +44-131-650-6839) |
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Page design:Anders Bouwer
Maintained by:Marco Carvalho (marcoa@dai.ed.ac.uk).
Last modified: Mon 14 June 1999.