‘Intelligent Context' for Personalized Mobile Learning

Author:

Moore Philip1,Hu Bin1,Jackson Mike1,Wan Jizheng1

Affiliation:

1. Birmingham City University, UK

Abstract

There have been significant developments in higher education resulting in interest in personalised educational provision. Concomitant with these changes is the evolving capability and ubiquity of mobile technologies. To facilitate personalisation and leverage the power of mobile technologies in mobile pedagogic systems identification of individuals is a prerequisite; this can be achieved using an individual’s profile (termed context). This chapter considers the background to context with related research. Context modelling, the processing of contextual information, context matching and the context matching algorithm, ontology, and the Semantic Web technologies are introduced. Context reasoning and inference in rule-based systems is considered and the context reasoning ontology is presented with scenario-based evaluation. The chapter concludes with a discussion, consideration of future research, and open research questions.

Publisher

IGI Global

Reference114 articles.

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2. W3C Semantic Web. (2009). W3C Semantic Web activity [online]. Retrieved from http://www.w3.org/2001/sw/

3. Agrawal, R., Somani, A., & Xu, Y. (2001). Storage and querying of e-commerce data. In Proc. of VLDB 2001 [online]. Retrieved from http://wotan.liu.edu/docis/lib/sisl/rclis/dbl/vldbvl/(2001)%253C149%253ASAQOED%253E/www.dia.uniroma3.it%252F~vldbproc%252F019_149.pdf

4. ALT. (2009). ALT-the Association for Learning Technology [online]. Retrieved on January 12, 2009, from http://www.alt.ac.uk/index.html

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