Crowdsourcing in language learning as a continuation of CALL in varied technological, social, and ethical contexts

Abstract

Crowdsourcing not only opens new perspectives within the general concept of Computer Assisted Language Learning (CALL), but also raises questions about ethics, motivation, and fair contribution. Technology offers platforms such as Duolingo, Bussu, and Babbel for learning languages with active contribution of the learners. Such applications reach millions of users. Thus, there is a need for initiatives to explore the potential of crowdsourcing for language learning. One of them is enetCollect CA16105 Combining Language Learning with Crowdsourcing Techniques, which is a European project within COST action. The aim of this paper is to disseminate the project’s ideas as well as present some results of the research done by the author as her contribution to the project activities. The findings show that language learners are not heavy gamers and the feedback they receive is the strongest motivational factor towards crowdourcing.