erdEducation Reform and Development2652-53642652-5372Bio-Byword Scientific Publishing Pty. Ltd.10.26689/erd.v7i9.12187ArticleInnovation in AI-Enabled Interdisciplinary Teaching Modes and Effect Evaluationhttps://artdesignp.com/journal/erd/7/9/10.26689/erd.v7i9.12187QiYan2025792025-10-14Artificial intelligence (AI) technology is profoundly enabling the innovation of interdisciplinary teaching modes through such dimensions as reconstructing knowledge connection paths, optimizing teaching scenario design, and innovating evaluation systems. Based on typical cases at home and abroad, and combining the characteristics of AI technology with educational theories, this study proposes a four-dimensional innovation model of “dynamic generation of knowledge graphs - integration of virtual and real scenarios - adaptation of personalized learning paths - multimodal evaluation and feedback”.

Zheng Q, 2025, Artificial Intelligence Empowering the Innovative Development of STEM Education: Understanding and Practice. China Higher Education Research, 2025(1): 1–7.

Zhang S, Zheng Y, 2025, Research on Interdisciplinary Teaching Mode of Physical Education Courses Empowered by Artificial Intelligence. Proceedings of 2025 Higher Education Development Forum and Ideological and Political Seminar (Volume I), Xi’an Peihua University; Qujiang No.13 Primary School: 192–194.

Cai M, Zhang S, 2025, Generative Artificial Intelligence Empowering Interdisciplinary Thematic Learning: Reasons, Methods and Paths. China Education Informatization, 31(4): 34–45.

Wu D, Wang X, 2025, Innovative Practice of Artificial Intelligence Empowering Interdisciplinary Teaching. Primary and Secondary School Science Education, 2(2): 62–68.

Wang D, 2025, A Perspective on Interdisciplinary Teaching Competence: Logic, Connotation and Improvement Paths. Anhui Education Research, 2025(11): 95–97.

Lu X, Gao X, 2023, Artificial Intelligence Empowering Education Evaluation Reform: Development Trend, Risk Inspection and Resolution Countermeasures. Journal of The Chinese Society of Education, 2023(2): 48–54.

Dou Y, Huang Q, Chen D, et al., 2024, The Era of New Productive Forces: Innovation and Practical Exploration of Artificial Intelligence Professional Education Model. Computer Knowledge and Technology, 20(34): 124–126 + 133.

Song X, Tan Z, Guo R, 2024, Exploration on the Teaching Model of Interdisciplinary Courses under the Background of Artificial Intelligence — Taking “Intelligent Building Systems” as an Example. China Construction Education, 2024(2): 103–106.

Jing P, Lyu L, 2025, Reform of Science Education in the Digital Intelligence Era: Morphological Dimension, Hidden Risks and Alleviation Paths. China Educational Technology, 2025(1): 62–71 + 92.

Du H, Zhu X, Yang L, et al., 2024, Intelligent Technology Empowering Interdisciplinary Education: Inherent Logic and Innovative Practices. China Educational Technology, 30(7): 119–128.

Chen D, Zhang Y, 2024, Interdisciplinary Teaching Innovation in the Age of Artificial Intelligence. Hubei Education (Educational Teaching), 2024(7): 8–9.

Chen H, 2024, Research on the Application of Artificial Intelligence in Personalized STEM Education. China Education Informatization, 30(2): 91–99.

Zhong H, 2025, Teaching Research on Artificial Intelligence Promoting the Digital Transformation of Design Education. Art Education, 2025(4): 50–53.

Wei W, 2024, Strategies of Interdisciplinary Education for Cultivating Innovative Talents in the Context of Artificial Intelligence. New Curriculum Research, 2024(18): 70–72.

Sun T, Jin Y, Kou X, 2024, Reconstruction of Artificial Intelligence Ethics Education from an Interdisciplinary Perspective: Views on Knowledge, Students and Teaching. China Educational Technology, 2024(4): 45–51.