Authors:
Timothy Arndt
1
and
Angela Guercio
2
Affiliations:
1
Cleveland State University, United States
;
2
Kent State University – Stark, United States
Keyword(s):
Adaptive eLearning, Personalized eLearning, XML transformations, Ubiquitous eLearning.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Computer-Supported Education
;
e-Learning
;
e-Learning, e-Training and Executive Training
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Metadata and Structured Documents
;
Symbolic Systems
Abstract:
This paper describes our work in progress on ubiquitous eLearning. Today’s learners are increasingly likely to engage in learning activities “on the fly” (while commuting, between other activities, on work breaks, etc.) than to use long, concentrated work sessions to learn course material. In order to meet the needs of these learners, a ubiquitous approach to web-based eLearning is required. This approach supports not just the traditional eLearning of a learner using a fixed PC to study, but extends this to learners studying in open labs/libraries/friends’ PCs as well as on non-traditional devices such as handheld PCs, PDAs, iPods, cell phones and the like. An adaptive approach is required to deliver courseware in such a situation. The eLearning system must adapt to the learner’s particular likes/dislikes, study session length, and learning style as well as to the characteristics of the learning device – screen size, bandwidth, networked or not, etc. We propose an XML-based approach
in which metadata describing the learner’s situation are continuously collected and refined and may be transformed via XSLT to meet the learner’s needs at any particular moment.
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