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CSCL Scripting Patterns: Hierarchical Relationships and Applicability

Authors: Davinia Hernández Leo; Eloy D. Villasclaras-Fernández; Juan I. Asensio-Pérez; Yannis A. Dimitriadis; Symeon Retalis;

CSCL Scripting Patterns: Hierarchical Relationships and Applicability

Abstract

The use of patterns in e-learning is being recently proposed with different purposes and scopes. This paper provides a unifying view of several representative proposals in order to situate and introduce the types of patterns that can be used for generating collaboration scripts that are suitable of being computationally represented and interpreted by Learning Management Systems (LMSs). The paper also presents a hierarchical structure that relates these patterns according to their focus and granularity. The structure shows how the different types of patterns are complementary and should be considered in the process of creating a script. In addition to authoring tools and LMSs, there are other types of tools in which the application of patterns may be useful. This paper points out these tools locating them along the "life cycle" of the scripts.

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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!
12
Average
Top 10%
Average
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