Educational Neuroscience Meets AI: A Framework for Secondary Science Teaching

Abstract

This study investigates the transformative potential of integrating artificial intelligence (AI) into secondary school science education from an educational neuroscience perspective. A literature review of studies published between 2013 and 2024 was conducted to identify key trends, challenges, and opportunities. The thematic analysis of selected sources informed the development of a practical framework that highlights applications and ethical considerations for educators. Findings indicate that AI can personalise learning, promote critical thinking, and enhance teacher-student interactions. However, successful implementation requires alignment with neuroscientific principles, ethical safeguards, and comprehensive teacher training. Challenges include data privacy concerns, algorithmic bias, and ensuring equitable access to AI technologies. The proposed framework offers actionable strategies for effectively integrating AI into science education, emphasising teacher preparedness, ethical practices, and ongoing evaluation to optimize AI’s impact on student learning. This novel framework bridges AI technology and educational neuroscience, providing valuable insights for educators and policymakers.