The rapid integration of artificial intelligence (AI) into education reshapes how teachers design, deliver, and assess learning experiences. As classrooms become more diverse and technologically developed, educators must create new competencies to harness AI tools while ensuring inclusive, equitable learning environments. Building teaching competencies for AI-driven and inclusive learning utilizes emerging technologies while applying them in ways that support all learners. This shift enhances professional development, curriculum design, and pedagogical strategies to prepare educators for human-centered teaching and intelligent technologies. Building Teaching Competencies for AI-Driven and Inclusive Learning explores how educators can develop the skills and knowledge needed to integrate AI technologies into teaching while fostering inclusive learning environments. It examines the intersection of technology, pedagogy, and equity to ensure all students benefit from AI-enhanced education. This book covers topics such as professional development, special education, and data analysis, and is a useful resource for educators, computer engineers, sociologists, academicians, researchers, and data scientists.

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