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https://doi.org/10.5220/000493...
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https://doi.org/10.5220/000493...
Article . 2014 . Peer-reviewed
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CALL for Open Experiments

english
Authors: Roman Efimov; Maxim Mozgovoy; John Brine;

CALL for Open Experiments

Abstract

In this paper, we briefly describe the limitations of present CALL systems, caused both by technological factors and by the limited agenda of CALL developers, whose design goals tend not to result in software tools for practical everyday language learning activities. We also note the lack of creative new ways of using computers in language education and a gradual shift towards traditional teaching and learning practices, enhanced with common computer technologies such as multimedia content delivery systems and social media. However, computers can provide more options for interactive learning, as shown by the emergence of virtual labs or virtual sandboxes that support and encourage open experimentation. Such systems are well known in natural sciences, but still have had little impact on the world of CALL software. We believe that the same “free experimentation” approach used in natural sciences can be applied in CALL, and should have a positive impact on the quality of learning, being consistent with constructivist perspectives on language education. In the present paper, we briefly introduce our work-in-progress to develop a system that supports open experiments with words and phrases.

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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!
0
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