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Classroom strategies integrate AI to enhance biology learning outcomes, suggesting improved engagement and understanding.
This article describes classroom-tested strategies for integrating artificial intelligence (AI) tools into high school biology through research and project-based learning. Focusing primarily on protein folding and structure-function relationships, it provides concrete lesson models using AlphaFold, UniProt, PDB, and visualization tools. It also discusses student challenges, required scaffolds, assessment methods, and ethical considerations. Broader applications of AI in CRISPR and biotechnology are briefly introduced to highlight future directions in science education.
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Sarmistha Ghosh (2026) studied this question.
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