Integrating Artificial Intelligence for Science Teaching in High School

This paper studies the potential benefits and challenges of incorporating AI into science education for secondary-level schools. It explores how AI-driven tools can enhance personalized learning, improve student engagement, and reshape teaching methodologies while addressing concerns regarding equity, accessibility, and teacher-student interactions. A literature review and analysis of AI applications in education focused on adaptive learning technologies, interactive simulations, and AI-driven feedback systems. AI technologies, including ChatGPT, facilitate personalized learning through adaptive feedback that targets individual knowledge gaps and learning preferences, promoting a more profound comprehension of intricate subjects such as physics. Findings indicate that AI enhances learning experiences by providing personalized feedback, fostering interactive and collaborative learning environments, and supporting differentiated instruction. However, challenges such as limited access to technology, teacher training, and ethical considerations regarding data privacy must be addressed to ensure equitable AI implementation in education. AI has the potential to revolutionize science education by making learning more engaging and tailored to student needs. However, successful integration requires addressing challenges related to infrastructure, teacher training, and ethical concerns. This study highlights the need for comprehensive policies and professional development programs to maximize the benefits of AI while ensuring fair and effective implementation in science education.