What question did this study set out to answer?

This article aims to explore the integration of AI tools in high school biology education through project-based learning.

March 28, 2026

Integrating AI in Research & Project-Based Learning in Biology Instruction

Key Points

This article aims to explore the integration of AI tools in high school biology education through project-based learning.
Classroom-tested strategies for AI integration
Focus on protein folding and structure-function relationships
Use of tools like AlphaFold, UniProt, and PDB
Discussion of required scaffolds and assessment methods
Inclusion of ethical considerations in AI and biotechnology
Enhanced student engagement in biology lessons
Improved understanding of protein folding concepts
Successful application of AI tools in classroom settings
Identification of challenges faced by students
Introduction of broader AI applications in biotechnology

Abstract

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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