The establishment of the territorial spatial planning system has put forward new requirements for the teaching of overall planning in colleges and universities, and the teaching contents and objectives of whole-area, all-element and whole-process need to be supported by more intelligent technical methods. According to the tasks and characteristics of each teaching stage of territorial spatial master planning, the types and application paths of digital intelligence technology suitable for multi-stage and multi-module teaching are proposed. In the research teaching stage, multi-source intelligent data technology is integrated into the teaching modules of natural ecology, history and culture, and landscape style, so that students can obtain more comprehensive and detailed data. In the program teaching stage, according to the needs of different special programs, the analysis teaching modules such as digital models, spatial models and artificial intelligence are set up to support students to design more scientific and effective planning schemes. In the stage of results-based teaching, the digital intelligence platform technology is integrated into teaching modules such as result expression and display, quality inspection and implementation evaluation, so that students can master a richer and more standardized method of preparing results. The study is combined with teaching examples to explore the application, aiming to provide reference for the teaching content optimization of the overall territorial space planning in the new era with the support of intelligent technology.