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AI-Guided Professional Development: A Vygotskian Approach for Teachers in Multilingual Classrooms
Abstract
This chapter presents a Vygotskian approach to AI-guided professional development through the case study of Verónica, an AI-powered virtual tutor designed to support preservice and in-service teachers in multilingual classrooms. By integrating constructivist and constructionist learning principles, the model emphasizes personalized, continuous support rooted in sociocultural theory and responsive AI design. The chapter outlines how prompt engineering, fine-tuning, and custom embeddings improve Verónica's context awareness and educational effectiveness. It also explores the hybrid training model that combines face-to-face workshops, online modules, and AI interaction to enhance teacher preparation, promote equity, and empower educators with culturally relevant tools for bilingual and ESL instruction.
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