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Exploring Inventions in Self-Directed Language Learning with Generative AI: Implementations and Perspectives of YouTube Content Creators

  • Belle Li,
  • Chaoran Wang,
  • Curtis J. Bonk,
  • Xiaojing Kou

摘要

This study explores the integration of generative AI, specifically ChatGPT, in self-directed language learning (SDLL) as perceived by YouTube content creators. Through thematic analysis of in-depth interviews with 14 prominent online language educators with related YouTube videos on ChatGPT, the present study investigates: (1) their perceptions of GenAI as a tool for SDLL, (2) strategies that they recommend to effectively utilize ChatGPT for enhancing SDLL, and (3) the guidelines they suggest for fostering SDLL with AI. The findings show that YouTube-based language educators acknowledged ChatGPT as a vital tool for SDLL as it offers availability, versatility, and transformative potential. Besides linguistic benefits, ChatGPT enhances SDLL experiences by generating contextually relevant responses and fostering meaningful conversations and learner growth. The study highlights the importance of addressing ethical, pedagogical, and sociocultural factors when incorporating AI in SDL and educators’ critical role in facilitating learners’ navigation through the evolving landscape of SDL in the age of generative AI. The study contributes to refining online language learning models and comprehending the impact of generative AI on SDL.