Management of Crowdsourcing in Language Teaching and Learning: The State-of-the-art and Future Directions

Abstract

The new environment of technological development has led to a transformation of teaching and learning methodologies, especially in the field of language teaching. In this field, the so-called Crowdsourcing, applied in other fields, is an essential element to be considered. This paper tries to identify the applications of Crowdsourcing for teaching and learning. The aim is to observe the state of the art and its trends in order to improve efficiency in learning processes. The paper analyses 192 documents on crowdsourcing and language teaching and learning, extracted from the Web of Science in the period 2012 to 2023. The article carries out a literature review and performs a bibliometric and visualisation analysis essentially on journals, authors and keywords. The results show the importance of crowdsourcing in language teaching and learning, and the particularities of aspects such as Crowdteaching and Crowdlearning associated with new methodologies and technological developments. New trends indicate the relevance of including aspects such as, apart from language and linguistic considerations technological developments such as machine learning, natural language processing, sentiment analysis, or classification models. The results offer guidance to researchers and teachers to plan their research and to improve language teaching and learning processes.