Contemporary Education and Teaching Research 2737-4203 2737-4335 BONI FUTURE DIGITAL PUBLISHING CO.,LIMITED https://ojs.bonfuturepress.com/index.php/CETR/article/view/1995 1 2026 2026-05-11 Construction and Effectiveness Test of AI-Enabled Blended Teaching Mode for Pedagogy Courses: A Quasi-Experimental Study Based on the Cultivation of Pre-service Teachers’ Teaching Competence Beini Ma,Jun Zou* This quasi-experimental study (N=96 pre-service teachers, 18 weeks) examines an AI-enabled blended teaching model for pedagogy courses, comparing it with a traditional blended model. The AI model featured intelligent diagnosis, virtual practicum, and real-time feedback. Results showed significant improvements in instructional design, classroom implementation, and AI literacy (p<0.001). AI-generated feedback mediated 55.85% of competence gains, and multimodal learning behavior predicted growth trajectories (R²=0.624). Findings provide a practical paradigm for AI integration in teacher education and empirical evidence for advancing blended learning theory. artificial intelligence,pedagogy courses,blended teaching,teacher education,teaching reform 10.61360/BoniCETRAIRC262019950101

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