DocumentCode :
705003
Title :
Models for an Intelligent Context-Aware Blended m-Learning System
Author :
Newell, David ; Davies, Philip ; Austin, Ron ; Moore, Philip ; Sharma, Mak
Author_Institution :
Bournemouth Univ., Bournemouth, UK
fYear :
2015
fDate :
24-27 March 2015
Firstpage :
405
Lastpage :
410
Abstract :
System requirements for an intelligent, mobile blended learning environment (m-Learning) have been elicited. Theories of ontology modelling are developed. A context-aware adaption engine using explicit and implicit knowledge of the student profile model are proposed. The context in which learning occurs is shown to be represented by a set of functions that are contextually dependent on learning modelled as a multi connected ontology. The evaluated prototype implementation is a partially context aware m-Learning presentation system. It is concluded that the m-learning environment is beneficial to programme outcomes, mainly for students who learn according to the heutagogical model. Further work is underway to capture m-Learning requirements better suited to students employing the pedagogic learning model.
Keywords :
computer aided instruction; mobile computing; ontologies (artificial intelligence); context-aware adaption engine; explicit knowledge; heutagogical model; implicit knowledge; intelligent context-aware blended m-learning system; mobile blended learning environment; multi connected ontology modelling; pedagogic learning model; student profile model; system requirements; Adaptation models; Education; Laboratories; Mobile communication; Ontologies; Prototypes; Taxonomy; adaptive learning; context-aware; m-Learning; multi connected ontology; ontology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Information Networking and Applications Workshops (WAINA), 2015 IEEE 29th International Conference on
Conference_Location :
Gwangiu
Print_ISBN :
978-1-4799-1774-7
Type :
conf
DOI :
10.1109/WAINA.2015.25
Filename :
7096209
Link To Document :
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