Models for an Intelligent Context-Aware Blended m-Learning System

Newell, D. and Davies, P. and Austin, R. and Moore, P. and Sharma, M. (2015) Models for an Intelligent Context-Aware Blended m-Learning System. In: IEEE 29th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2015, 25 March 2015 through 27 March 2015, Gwangju; South Korea.

Full text not available from this repository. (Request a copy)

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. © 2015 IEEE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Unmapped bibliographic data: C7 - 7096209 [EPrints field already has value set] AD - Bournemouth University, Bournemouth, United Kingdom [Field not mapped to EPrints] AD - Birmingham City University, Birmingham, United Kingdom [Field not mapped to EPrints] DB - Scopus [Field not mapped to EPrints] M3 - Conference Paper [Field not mapped to EPrints] A4 - IEEE Technical Committee on Distributed Processing (TCDP) [Field not mapped to EPrints] C3 - Proceedings - IEEE 29th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2015 [Field not mapped to EPrints]
Uncontrolled Keywords: adaptive learning, context-aware, m-Learning, multi connected ontology, ontology, E-learning, Ontology, Students, Adaptive learning, Blended learning environments, Context-Aware, M-Learning, Ontology modelling, Presentation system, Prototype implementations, System requirements, Computer aided instruction
Subjects: X900 Others in Education
Divisions: UoA Collections > UoA11: Computer Science and Informatics
Depositing User: Yasser Nawaz
Date Deposited: 18 Jul 2016 09:51
Last Modified: 18 Jul 2016 09:51
URI: http://www.open-access.bcu.ac.uk/id/eprint/1778

Actions (login required)

View Item View Item

Research

In this section...