Research on Integrated Teaching of Artificial Intelligence and Science Courses in Junior High School from an Interdisciplinary Perspective

Abstract

Against the backdrop of deepening digitalization in education, the requirements of science courses for data understanding, model building, and inquiry methods, and the emphasis on algorithmic awareness and intelligent tool use in artificial intelligence courses, have formed a natural connection, providing a practical basis for the integration of the two courses. This study explores the challenges of integrating artifi cial intelligence and science courses in junior high school and discusses effective integration pathways, aiming to provide a workable reference for interdisciplinary teaching.