Reshaping curriculum adaptation in the age of artificial intelligence: Mapping teachers’ AI-driven curriculum adaptation patterns

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In exploring the interplay between artificial intelligence technologies and curriculum adaptation, this study bridges a significant gap by exploring how AI tools influence teachers' strategies for adapting curricula. Employing an explanatory sequential design, the research analyses qualitative and quantitative data from 440 teachers, using the Curriculum Adaptation Patterns Scale and focus group semi-structured interviews. Results indicate a balanced approach towards extending and revising the curriculum, with less emphasis on omission. Qualitatively, teachers reported positive experiences using AI, particularly ChatGPT, to make their lessons better fit students' needs: omitting parts that aren't needed, adding more relevant and personalised content, and revising or replacing content.