Generative AI in CALL: Enhancing Self-Regulated L2 Learning Through Adaptive Chatbots
DOI:
https://doi.org/10.69760/gsrh.0250206002Keywords:
Generative AI, CALL, chatbots, self-regulated learningAbstract
Generative artificial intelligence (GenAI) has introduced new possibilities for computer-assisted language learning (CALL), particularly through adaptive chatbots capable of natural conversation and personalized feedback. This review synthesizes recent research on how GenAI chatbots support self-regulated learning (SRL) among second language (L2) learners. Findings indicate that chatbots can enhance all phases of SRL by prompting goal-setting, enabling strategy use through interactive practice, and facilitating reflection via feedback and progress summaries. Their adaptive, always-available nature provides individualized scaffolding that promotes autonomy, engagement, and sustained practice. Evidence also shows positive effects on motivation, confidence, vocabulary retention, and reduced anxiety, though long-term sustainability and over-reliance remain concerns. The review emphasizes that pedagogically guided use is essential: when integrated meaningfully into instruction, chatbots can function as powerful mediators of cognitive, metacognitive, and affective processes in L2 learning. Implications for design, teacher training, and future research directions are discussed.
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