In the era of artificial intelligence, AI-assisted teaching design models are a key technological framework for the digital transformation of education, having evolved from basic theoretical foundations to intelligent applications. Current research primarily focuses on three dimensions: technological integration, teaching innovation, and ethical norms. In terms of technological integration, natural language processing enables personalized interaction, multimodal learning analysis technologies, and dynamic optimization of teaching strategies. Regarding teaching innovation, adaptive learning path generation technology has been utilized to implement the backward design model. In the realm of ethical norms, standards for data privacy protection and algorithm transparency have been established. The study finds that AI-assisted models can enhance teaching efficiency. Future efforts need to strengthen research on human-machine collaborative mechanisms, develop standardized evaluation tools, and promote the ethical application of generative AI in teaching design.

Xiaomei Xiong, Jiachen Wu. A Visual Analysis of Research on Artificial Intelligence Teaching Design Models. Frontiers in Educational Research (2025), Vol. 8, Issue 11: 77-82. https://doi.org/10.25236/FER.2025.081111.

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