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  2. Ψηφιακό Αποθετήριο ΚΥΨΕΛΗ / Kypseli Digital Repository
  3. Έργα / Projects
  4. EnetCollect: European Network for Combining Language Learning with Crowdsourcing Techniques
 
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Acronym
EnetCollect
Project Title
EnetCollect: European Network for Combining Language Learning with Crowdsourcing Techniques
Consortium Coordinator
Ανοικτό Πανεπιστήμιο Κύπρου / Open University of Cyprus 
Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences 
Internal ID
CA16105
Principal Investigator
Rodosthenous, Christos 
Status
Closed
Start Date
2017
End Date
2021
Project Web Site
https://www.cost.eu/actions/CA16105/#tabs+Name:Management%20Structure
Description
The enetCollect Action addresses the major European challenge of fostering the language skills of all citizens regardless of their diversified social, educational, and linguistic backgrounds. To this end, the Action is concerned with the domain of Language Learning and focuses on enhancing the production of learning material in order to cope with the increasing demand for language learning and the striking diversification of learner profiles due to the intensified migration flows motivated by educational, professional/economic or geopolitical circumstances.

EnetCollect addresses this challenge by performing the groundwork to set into motion a Research and Innovation trend combining the well-established domain of Language Learning with recent and successful crowdsourcing approaches in order to unlock a crowdsourcing potential available for all languages and trigger an innovation breakthrough for the production of language learning material. EnetCollect approaches this objective by building an international and interdisciplinary R&I community, creating a comprehensive theoretical framework and running prototypical experiments while following an overall Open Science, Open Access and Open Data policy.

EnetCollect also aims at simultaneously crowdsourcing language learning material and language-related datasets in order to attract language-related Research and Innovation players e.g. computational linguistics, gain their support, and develop the Research and Innovation trend in numerous, concurrent and mutually beneficial ways favoring its flexible short- and long-term success.

As a result, enetCollect will constitute the first step towards the sustainable and continuous production of language learning material for any language and target group.
Action keywords

Language Learning - Crowdsourcing - Language-related Datasets - Computer-assisted Language Learning - Open Data and Science
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