DocumentCode
2919788
Title
Applications of Artificial Intelligence in an Open and Distance Learning institution
Author
Fadzil, Mansor ; Munira, Tengku Amina
Author_Institution
Open University Malaysia, Kuala Lumpur, Malaysia
Volume
1
fYear
2008
fDate
26-28 Aug. 2008
Firstpage
1
Lastpage
7
Abstract
Applying Artificial Intelligence (AI) in an educational setting presents a wealth of opportunities, particularly for Open and Distance Learning (ODL) institutions. As ODL relies heavily on human-machine interactions, AI thus naturally offers open universities various means to address issues such as how do people actually learn; what constitutes effective teaching; as well as what are the advantages and limitations of computer-based systems in education. Open University Malaysia (OUM) is Malaysia’s premier ODL institution and has been operating for seven years. As an ODL institution, OUM’s operations and services are heavily anchored on a range of information and communication technologies (ICTs) that could potentially include AI. Though the implementation of AI has not been fully realised in education, OUM foresees many areas that can benefit from it, in terms of ensuring quality, improving pedagogical methods as well as enhancing the overall teaching and learning experience. In this paper, we will explore several fields whereby AI could be potentially utilised in an ODL institution, i.e. expert system for programme advising; automated scheduling of classes; marking of assignments; plagiarism detection; retaining learners and adapting to their diverse needs and backgrounds; maintenance of property; and ensuring security. OUM also anticipates that AI could provide a significant and highly intriguing paradigm shift in the deployment of ODL and that it could greatly influence the future of all open and distance learners.
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology, 2008. ITSim 2008. International Symposium on
Conference_Location
Kuala Lumpur
Print_ISBN
978-1-4244-2327-9
Electronic_ISBN
978-1-4244-2328-6
Type
conf
DOI
10.1109/ITSIM.2008.4631532
Filename
4631532
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