DocumentCode :
2828660
Title :
The Adaptive Intelligent Personalised Learning Environment
Author :
Costello, R. ; Mundy, D.P.
Author_Institution :
Sch. of Arts & New Media, Univ. of Hull, Kingston upon Hull, UK
fYear :
2009
fDate :
15-17 July 2009
Firstpage :
606
Lastpage :
610
Abstract :
As individuals the ideal learning scenario would be a learning environment tailored just for how we like to learn, personalized to our requirements. This has previously been almost inconceivable given the complexities of learning, the constraints within the environments in which we teach and the need for global repositories of knowledge to facilitate this process. Whilst it still is not necessarily achievable in its full sense this project represents a path towards the presented ideal. Findings from our research into the development of a model and intelligent algorithms for personalised learning are presented. Our model is built on the premise of an ideal system being one which does not just consider the individual but also considers groupings of likeminded individuals and their power to influence learner choice.
Keywords :
computer aided instruction; information filtering; teaching; adaptive intelligent personalised learning environment; global knowledge repository; intelligent algorithm; learning resource; personalised adaptive filtering system; teaching; Adaptive filters; Art; Chaos; Education; Intelligent systems; Materials testing; Power system modeling; Psychology; Shape; adaptive filtering; intelligent systems; learning styles; personalised learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Learning Technologies, 2009. ICALT 2009. Ninth IEEE International Conference on
Conference_Location :
Riga
Print_ISBN :
978-0-7695-3711-5
Electronic_ISBN :
978-0-7695-3711-5
Type :
conf
DOI :
10.1109/ICALT.2009.38
Filename :
5194316
Link To Document :
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