Details of Grant 

EPSRC Reference:	GR/R51346/01
Title:	Cognitive Diagnosis of Intelligent Training
Principal Investigator:	Khan, Dr T
Other Investigators:	Novakovic, Ms D
Researcher Co-Investigators:
Project Partners:
Department:	Sch of Business & Management
Organisation:	Brunel University London
Scheme:	Fast Stream
Starts:	01 August 2002	Ends:	31 July 2005	Value (£):	77,512
EPSRC Research Topic Classifications:	Cognitive Science Appl. in ICT
EPSRC Industrial Sector Classifications:	Creative Industries Information Technologies
Related Grants:
Panel History:
Summary on Grant Application Form
This research aims to support training in an industrial context by producing new software technologies that incorporate advanced simulations and intelligent systems. Diagnosing student misconceptions is important in training but is also very difficult, so this research aims to develop computerised methods that will enable accurate diagnosis of human error. It will focus on designing a software system that integrates several complementary executable models of expertise for a particular application. This is a novel area of research, since existing approaches tend to use non-executable models, which are limited in their effectiveness. Techniques for diagnosis will be developed to complement newly developed technologies for modeling knowledge. Together, the power and effectiveness of training systems will be significantly improved. This research will promote quality in work and life in general by addressing the issue of skills development. The positive affects of high skills on competitiveness and quality of life are seen by industry as clear indication of the importance of training. By seeking to provide cost effective training and continual retraining on industrially relevant skills, the results of this research will be of major use to industry at a time when rapid technological developments demand life-long learning.
Key Findings
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Organisation Website:	http://www.brunel.ac.uk