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2 septembre 2020
- handle: 10670/1.3agoit
- hal: hal-02974069
- doi: 10.31724/rihjj.46.1.1
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info:eu-repo/semantics/altIdentifier/doi/10.31724/rihjj.46.1.1
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Human-based computation Crowdsourcing Human computation systemsCiter ce document
Špela Arhar Holdt et al., « Language Teachers and Crowdsourcing: Insights from a Cross-European Survey », HAL-SHS : sciences de l'information, de la communication et des bibliothèques, ID : 10.31724/rihjj.46.1.1
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Résumé
The paper presents a cross-European survey on teachers and crowdsourcing. The survey examines how familiar language teachers are with the concept of crowdsourcing and addresses their attitude towards including crowdsourcing into language teaching activities. The survey was administrated via an online questionnaire and collected volunteers’ data on: (a) teachers’ experience with organizing crowdsourcing activities for students/pupils, (b) the development of crowdsourced resources and materials as well as (c) teachers’ motivation for participating in or employing crowdsourcing activities. The questionnaire was disseminated in over 30 European countries. The final sample comprises 1129 language teachers aged 20 to 65, mostly working at institutions of tertiary education. The data indicates that many participants are not familiar with the concept of crowdsourcing resulting in a low rate of crowdsourcing activities in the classroom. However, a high percentage of responding teachers is potentially willing to crowdsource teaching materials for the language(s) they teach. They are particularly willing to collaborate with other teachers in the creation of interactive digital learning materials, and to select, edit, and share language examples for exercises or tests. Since the inclusion of crowdsourcing activities in language teaching is still in its initial stage, steps for further research are highlighted.