DocumentCode
3304435
Title
ARTS: An Adaptive Recursive Tutoring System
Author
Mohamed, Abdul Hakim H M
Author_Institution
Dept. of Comput. Sci., Liverpool Hope Univ., Liverpool, UK
fYear
2011
fDate
6-8 Dec. 2011
Firstpage
255
Lastpage
260
Abstract
Sequenced personalised curriculum is an important research issue for Web-based educational systems, because it does not uses the fixed learning paths approach, as it will not be suitable for all learners. This paper presents a framework for Adaptive-Recursive Tutoring System (ARTS) that classifies the learners and provides cognitive adaptation according to their learning profiles and abilities. ARTS support the use of knowledge-based systems. In particular, the adaptive-recursive learning and teaching techniques, this will help deliver flexible and assessable course materials in education or business sectors. ARTS recognise the importance of individual learner knowledge. ARTS adaptive agent customises courseware and coaches the students through the learning journey. ARTS is equipped with a recursive agent (collectively with the adaptive agent are called the instructor Model) that call itself on a smaller version to augment and monitor the student learning process.
Keywords
Internet; courseware; educational courses; intelligent tutoring systems; software agents; Web-based educational system; adaptive recursive tutoring system; adaptive-recursive learning technique; adaptive-recursive teaching technique; agent customises courseware; cognitive adaptation; course material; fixed learning paths approach; instructor model; knowledge-based systems; personalised curriculum; recursive agent; student learning process; Adaptation models; Adaptive systems; Biological system modeling; Data models; Education; Logic gates; Subspace constraints; Intelligent Tutoring systems; Recursivity; Virtual Learning; Web Adaptive systems; Web Hypermedia;
fLanguage
English
Publisher
ieee
Conference_Titel
Developments in E-systems Engineering (DeSE), 2011
Conference_Location
Dubai
Print_ISBN
978-1-4577-2186-1
Type
conf
DOI
10.1109/DeSE.2011.78
Filename
6149989
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