< Terug naar vorige pagina

Publicatie

Design Issues in Language Learning Based on Crowdsourcing: The Critical Role of Gameful Corrective Feedback

Tijdschriftbijdrage - Tijdschriftartikel Conferentiebijdrage

Crowdsourcing has revolutionized the software market, affecting the quality, adoption and business models of consumer softwareapplications in many domains of human behaviour. In language learning, however, its impact is still to be seen. Through the lens of thecommercial application Duolingo as well as the research prototype DialogDungeon, this paper discusses corrective feedback, a designfeature of (technology-enhanced) language learning environments that can be a key driver for both learning success and platformadoption, and which will equally need to be considered in the design of language learning based on crowdsourcing. We address thistopic from the literature at the intersection of second language (L2) acquisition, computer-asssisted language learning (CALL), humanmotivation, and gamification. We conclude with a call for collaboration between educators, L2 acquisition researchers and developersof crowdsourcing-based applications.
Tijdschrift: Proceedings of Poster and Demo Track and Workshop Track of the 18th International Conference on Semantic Systems co-located with 18th International Conference on Semantic Systems (SEMANTiCS 2022)
ISSN: 1613-0073
Volume: 2390
Pagina's: 6 - 9
Jaar van publicatie:2019
Toegankelijkheid:Open