Connectivism in Language Education: What Does Literature Tell Us?

Abstract

Connectivism has been widely mentioned in language education research to explain learning in networked and technology-rich environments. However, the literature remains difficult to interpret as a coherent evidence base, because connectivism has been used in different ways - as a learning theory, as a pedagogical orientation, or only as a descriptive lens). This article reviews what the literature reveals about connectivism in language education through a systematic scoping review with an evaluative synthesis. The analysis maps the learning ecologies where connectivism is most visible (e.g., LMOOCs, social media communities, blended online learning, and emerging AI-mediated contexts), and examines how studies operationalize “connections” (social interaction ties, resource curation, and platform/algorithmic mediation). Across studies, the most consistent reported outcomes relate to engagement, participation, learner agency, and digital literacies, while stronger evidence for measured language development is less common and often not well aligned with network indicators. Overall, the review suggests connectivism is currently more robust as a design rationale than as a tested explanatory theory in language education. The review concludes by outlining priorities for future research, focusing on clearer construct definitions, better indicator-outcome alignment, and comparative designs across ecologies.