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
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