Teachers’ perceptions of AI-empowered digital textbooks in mathematics
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This study examines the role of digital and AI-empowered mathematics textbooks in modern education, focusing on how teachers’ backgrounds—including grade level taught, teaching experience, and prior exposure to digital resources—shape their perceptions of these tools. As digital transformation and artificial intelligence (AI) continue to redefine educational methodologies, it is essential to understand how these factors influence teachers’ views and their adoption of digital and AI-empowered mathematics textbooks. This study surveys in-service teachers across grades 1-12 and carries out a comprehensive analysis to identify key factors that shape the adoption and effectiveness of AI-empowered mathematics education. The results indicate that teachers’ familiarity with and confidence in digital tools play a significant role in their willingness to integrate AI-empowered resources into their teaching practices. The findings provide insights for optimizing AI-empowered learning environments and offer practical implications for curriculum development and teacher training programs.
Abstract
This study examines the role of digital and AI-empowered mathematics textbooks in modern education, focusing on how teachers’ backgrounds—including grade level taught, teaching experience, and prior exposure to digital resources—shape their perceptions of these tools. As digital transformation and artificial intelligence (AI) continue to redefine educational methodologies, it is essential to understand how these factors influence teachers’ views and their adoption of digital and AI-empowered mathematics textbooks. This study surveys in-service teachers across grades 1-12 and carries out a comprehensive analysis to identify key factors that shape the adoption and effectiveness of AI-empowered mathematics education. The results indicate that teachers’ familiarity with and confidence in digital tools play a significant role in their willingness to integrate AI-empowered resources into their teaching practices. The findings provide insights for optimizing AI-empowered learning environments and offer practical implications for curriculum development and teacher training programs.