Evaluation of a suitable learning style for iLearn: a personalised e-learning platform
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Peter, S., Dastbaz, M. & Bacon, E. (2008). Evaluation of a suitable learning style for iLearn: a personalised e-learning platform. In C. Bonk et al. (Eds.), Proceedings of World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2008 (pp. 447-453). Chesapeake, VA: AACE.
Retrieved from http://www.editlib.org/p/29644.
World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (ELEARN) 2008
Las Vegas, Nevada, USA
November 17, 2008
Curtis J. Bonk, Mimi Miyoung Lee & Tom Reynolds
More Information on ELEARN
Table of Contents
Brusilovsky and Millan (2007) state that learning styles are typically defined as the way people prefer to learn. Learning styles and how we learn is a vast research area and many research projects (SMILE, INSPIRE, iWeaver amongst others) attempt to incorporate these learning styles into e-Learning systems. This paper describes commonly used learning styles and how they are currently being used within the area of adaptive e-Learning. This work also builds upon current research and evaluates learning styles using criteria proposed by Sampson and Karagiannidis (2004) in order to select a suitable learning methodology for the iLearn e-Learning platform. The Sampson and Karagiannidis (2004) criteria is adapted for the purpose of the research and describes the measurability, time effectiveness and descriptiveness and prescriptiveness of the specific learning style. A suitable learning style for the iLearn e-Learning platform is then proposed within the paper and finally the research briefly introduces how the chosen learning style will be used for the proposed e-Learning platform.
- Evaluating the personalised and adaptable learning provided by e-learning platforms
- Supporting E-Learning with Technologies for Electronic Documents
- Designing metadata for learning and assessment objects
- Tagging learning objects in Moodle for personalisation and re-use
- Learning Objects in Context
- Usage Analysis in Learning Systems
- e-Learning platforms for Semantic Web
- The Learning Environment of the 21 ST Century
- A Special Passage Through Asia E-Learning
- A Framework for Developing Adaptive Personalized eLearning
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