Enhancing Conceptual Understanding in Chemistry: The Role of Artificial Intelligence in Personalised Learning Environments (original) (raw)

The paper explores the transformative role of artificial intelligence (AI) in chemistry education, emphasizing its potential to enrich students' learning experiences and improve conceptual understanding. It highlights the importance of chemistry as a foundational science that connects various scientific disciplines, thereby equipping students with critical thinking skills essential for success in diverse fields. The integration of AI technologies in personalised learning environments is discussed, showcasing innovative methods that adapt to individual learning needs and enhance engagement. The paper reviews current trends in AI applications within chemistry, including predictive modeling and virtual laboratories, which facilitate complex data analysis and experimental simulations. These advancements not only streamline the learning process but also prepare students for future challenges in scientific research and industry. Furthermore, the paper addresses the implications of AI in fostering collaborative learning and improving assessment methods, ultimately aiming to create a more effective and inclusive educational framework. By leveraging AI, educators can better support students in developing a deeper understanding of chemical concepts, thereby promoting a more sustainable and informed approach to chemistry education in the 21st century.