Yuyao Liu,Yanwen Liu

The quality of instructional design directly affects the effectiveness of teaching activities. Traditional instructional design is generally plagued by multiple predicaments, such as over-reliance on subjective experience, being time-consuming and labor-intensive, severe homogenization, and difficulty in adapting to students' learning situations. Generative artificial intelligence has functions such as natural language understanding and cross-domain knowledge question-answering, which can provide teachers with teaching ideas and inspiration and empower the analysis, design, development, implementation, and evaluation of instructional design. It can, to a certain extent, break through the dilemma of traditional instructional design, reduce the burden on teachers and increase efficiency, and improve the accuracy, innovation, and adaptability of instructional design.

Generative artificial intelligence; Instructional design; Reducing workload and increasing efficiency; Human-machine collaborative teaching

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