A Transformative Perspective on Integrating Generative AI in Science Education: Benefits, Challenges, and Ethical Considerations

Abstract

Generative artificial intelligence (AI) is significantly influencing education by creating human-like text, images, and audio. This advancement offers opportunities to enhance teaching through personalized content, adaptive tutoring systems, and interactive learning environments, catering to diverse learning styles and boosting student engagement and outcomes. However, challenges arise in ensuring the accuracy and reliability of AI-generated content and addressing ethical concerns such as data privacy and algorithmic bias. Developing digital literacy skills among educators and students is essential to navigate these issues. This study reviews research from 2014 to 2024, examining AI's impact on science education. It proposes a structured framework for integrating AI, emphasizing ongoing monitoring, ethical practices, and professional development. The goal is to provide insights that support effective and responsible use of AI in educational settings.