Exploration on Diversified Teaching Mode of Sensor and Detection Technology Driven by Knowledge Graph

Abstract

This article is based on the goal of cultivating new engineering talents, introduces knowledge graph (KG) technology, constructs the course KG of "Sensor and Detection Technology", and through ontology construction and multimodal resource association, realizes the structuring, visualization, and intelligence of knowledge. Based on this, this paper explores the diversified teaching mode of reconstruction of teaching content, innovation of teaching methods and integration of virtual and real practice teaching. The teaching content breaks the linear logic by relying on the network structure of KG, and supports dynamic updating and personalized path recommendation; The teaching method uses visual navigation and intelligent question answering system to enhance interactivity and inquiry; Practice teaching connects virtual simulation and physical experiment through atlas, realizing the spiral rise of theory and practice. At the same time, a multi-dimensional and dynamic evaluation system covering knowledge mastery, practical ability and innovative thinking is constructed, and intelligent tools are used to realize accurate evaluation and feedback. This model effectively solves the pain points of traditional teaching and provides new ideas and practical reference for improving the teaching quality of engineering courses.