TEACHER- AI COLLABORATION: A HYBRID MODEL FOR TEACHING SPEAKING SKILLS FOR BEGINNERS
Keywords:
Teacher - AI collaboration, hybrid learning model, speaking skills, language teaching, artificial intelligence, beginner learners, communicative competence, CALL (Computer-Assisted Language Learning), pronunciation training, educational technology.Abstract
The rapid integration of Artificial Intelligence (AI) into language education has opened new opportunities for enhancing speaking instruction. This study explores a hybrid model that combines teacher-led instruction with AI-supported conversational training to improve beginners speaking skills in English. The model emphasizes the complementary roles of human teachers - who provide emotional support, contextualized feedback, and scaffolding - and AI tools, which offer real-time pronunciation assessment, individualized practice, and continuous exposure to authentic dialogue. Using a mixed-method approach, the study evaluates the effectiveness of this hybrid framework in promoting fluency, accuracy, and learner confidence. Findings indicate that when teachers and AI systems collaborate, students demonstrate faster progress, greater engagement, and increased motivation compared to traditional classroom methods. The research highlights the potential of teacher - AI partnerships to redefine language pedagogy for early-stage learners and suggests practical implications for curriculum design, teacher training, and technology integration.
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