With the deepening of digital transformation in education, pedagogical agents, as an important application of artificial intelligence technology, are gradually driving the transformation and innovation of teaching methods. Interdisciplinary teaching, as an educational model that integrates knowledge from different disciplines, provides students with multidimensional learning experiences and cultivates their comprehensive literacy. However, current interdisciplinary teaching practices still face challenges such as insufficient professional competence of teachers and high difficulty in integrating course resources. Based on a systematic review of literature and empirical research, this study summarizes and proposes the fundamental approaches to applying pedagogical agents in interdisciplinary teaching. Through the analysis of typical cases, the study examines three key aspects: teaching process, teacher-student role transformations, and empowerment mechanisms. The analysis reveals the implementation features and limitations of pedagogical agents in interdisciplinary teaching. Furthermore, the study identifies existing challenges in pedagogical agent-assisted teaching and proposes strategies to address them. The findings provide a theoretical foundation and practical insights for the application of pedagogical agents in education, contributing to the innovative development of interdisciplinary teaching.