1st UK Workshop on AI in Education
Cambridge, 12th December 2005
Artificial Intelligence (AI) has been incorporated into the curriculum of Computer Science degree schemes for a number of years now at both undergraduate and graduate levels. The field of AI encompasses a number of sub-disciplines including machine learning, constraint satisfaction, search, agents and multi-agent systems, reasoning, natural language engineering and processing to mention just a few. Despite the fact that the underlying research areas have developed over the years, teaching artificial intelligence and related topics presents a number of problems such as a heavy influence of one's own research expertise and specialization in deciding the content of such courses and a lack of standard methodologies and tools that practitioners can employ for teaching topics in this area. The aim of this workshop is to bring together researchers and practitioners that are interested in the teaching and education aspect of the field.
Researchers, practitioners and educators both from within and outside the UK were invited to contribute to and participate in the workshop.
The workshop series addresses issues specific to teaching AI and AI in education including, but not restricted to:
The workshop was a mixture of presentations and open discussions of the attendees.
The proceedings are available as a pdf file.
University of Essex
Wivenhoe Park, Colchester CO4 3SQ
Juan Carlos Augusto, University of Ulster at Jordanstown, UK
Martin Beer, Sheffield Hallam University, UK
Julian Padget, University of Bath, UK
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