AI IN SENIOR CHEMISTRY EDUCATION: ENHANCING ENGAGEMENT, PERSONALIZATION, AND PEDAGOGICAL PRACTICE

Abstract

The integration of artificial intelligence (AI) in chemistry education has transformed traditional teaching methodologies, enhancing student engagement and conceptual understanding. This paper explores the impact of AI-driven tools such as adaptive learning systems, virtual laboratories, and intelligent tutoring systems in facilitating personalized learning experiences. AI enables dynamic modeling of atomic interactions, automated assessment mechanisms, and real-time feedback, thereby addressing challenges in chemistry instruction. Using a qualitative research methodology, the study analyzes student interactions with AI tools, focusing on their role in stimulating critical thinking and active learning. Despite its potential, barriers such as accessibility, teacher preparedness, and ethical concerns regarding AI applications in education remain significant. This study is conducted by interviews from teachers and survey from students to explore the types of AI they used and its potential impact on chemistry teaching and learning. It highlights current advancements, potential applications, and challenges in leveraging AI for chemistry education, emphasizing the need for a balanced approach that integrates AI while maintaining pedagogical effectiveness. The findings contribute to a broader understanding of AI's role in shaping the future of science education and provide insights for educators and policymakers in designing AI-integrated curricula.