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Research and design challenges for developing personalised eLearning systems

Research and design challenges for developing personalised eLearning systems

Cemal Nat, Muesser, Dastbaz, Mohammad and Bacon, Liz (2008) Research and design challenges for developing personalised eLearning systems. E-Learn 2008 Proceedings: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2008. Ed/ITLib Digital Library, Association for the Advancement of Computing in Education (AACE), Chesapeake, VA, USA, pp. 2536-2542.

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Abstract

While E-learning technologies are continuously developing, there are number of emerging issues and challenges that have significant impact on e-learning research and design.
These include educational, technological, sociological, and psychological viewpoints. The extant literature points out that a large number of existing E-learning systems have problems with offering reusable, personalized and learner-centric content. While developers are placing emphasis on the technology aspects of e-learning, critical conceptual and pedagogical issues are often ignored. This paper will reports on our research in design and development of personalised e-learning systems and some of the challenges and issues faced.

Item Type: Book Section
Additional Information: This paper forms part of the Proceedings of the World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2008, which took place in Las Vegas, Nevada, USA on 17-21 November 2008. (Held on CD ROM). Copyright by AACE. Reprinted from the Proceedings of World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2008, with permission of AACE (http://www.aace.org).
Uncontrolled Keywords: e-learning, technology, personalization,
Subjects: L Education > LB Theory and practice of education
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Department of Information Systems & Digital Media
School of Computing & Mathematical Sciences > eCentre
Related URLs:
Last Modified: 14 Oct 2016 09:03
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/1205

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