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Pervasive, Persuasive eLearning: Modeling the Pervasive Learning Space

Authors: Siobhan Thomas;

Pervasive, Persuasive eLearning: Modeling the Pervasive Learning Space

Abstract

Pervasive elearning is well-suited to teaching complex ideas that can't ordinarily be addressed in typical classroom or elearning scenarios. However, there is very little practical information available to help anyone who is interested in designing a pervasive learning space to do so. This paper takes an important first step towards theorizing the pervasive learning space in a practical and useful way. First, it presents a working model of pervasive learning that can be used to help design, develop, and evaluate pervasive learning experiences. It then goes on to explain the philosophical underpinnings of the model by outlining 13 principles of effective pervasive learning derived from real-life pervasive learning projects.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
27
Average
Top 10%
Top 10%
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