AI-Driven Pedagogical Approaches in Science Classrooms: Enhancing Digital Literacy and Learning Outcomes

A high quality education in science classroom is crucial to foster equitable societal progress. However significant disparities for undeserved and marginalised community. Solutions using artificial intelligence bridges the cap through enhanced teaching methodologies to promote fair access to learning in science classroom. The present study explores the AI powered pedagogical approaches in science education. It examines the AI technologies including computer vision, natural language processing and machine learning techniques utilised for personalised learning delivering feedback at real time and boost a student engagement across various background. AI driven approaches can Taylor instruction to individual paces and learning style that ensure personalised support for every student. Platforms also offer additional assistance to learners facing challenges fostering equity and inclusivity in science education. Moreover, AI driven assessment tools provide teachers with valuable insights in student performance helping them to pinpoint the areas that requires improvement and targeted interventions. It enables collaborative learning environment that allows the student to interact regardless of geographical constraints thereby expanding access to science education with enhanced digital literacy and learning outcomes.