Intelligent vocational education big data fusion method based on cloud platform

Abstract

The present application relates to the technical field of smart education big data, and discloses a smart vocational education big data fusion method based on a cloud platform. The method comprises the following steps: constructing a multi-modal data acquisition channel to obtain trainee practical training, theoretical and interactive data; inputting the data into a vocational education AI big model to perform feature deconstruction, and generating a three-dimensional ability coordinate comprising skill, knowledge and literacy dimensions; adaptively searching and matching a micro-ability unit cluster in a cloud platform knowledge graph database based on the coordinate; constructing a dynamic ability development path according to the cluster topological relationship and implanting an ability verification node; and real-time analyzing the behavior feedback flow of the trainee at the node through the AI big model, generating an instruction to real-time topologically reconstruct the path, and forming a personalized fusion teaching path. The method solves the problems of difficulty in unified quantitative evaluation of multi-modal data and static presetting of a teaching path, and realizes accurate depiction of the ability of the trainee and dynamic adaptive optimization of the teaching path.

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