CLOUD-BASED PLATFORMS AS RESOURCES FOR AUTO-METHODOLOGICAL TRAINING OF FUTURE EFL TEACHERS

Abstract

This article examines the role of cloud-based platforms in the auto-methodological training of future teachers of English as a Foreign Language (EFL). It explores how tools such as Google Workspace, Microsoft 365, Moodle Cloud, Flipgrid, and Padlet can facilitate self-directed methodological development, digital competence, and reflective practice. The study presents a theoretical framework linking cloud technologies to autonomous teacher training, proposes a practical implementation model, and discusses benefits and challenges. The author argues that integrating cloud resources into EFL teacher education curricula enhances future educators’ readiness for technology-driven teaching environments and promotes lifelong professional growth.