Research And Design Of Knowledge Representation Module In 3D Virtual Experiment

With the speedy development of information technology,the emergence of an education system that combines artificial intelligence technology-Intelligent Tutoring Systems(ITS)has changed the traditional teaching concepts and methods,and provided learners with an intelligent learning environment.Is currently a hot research field of educational technology.The three-dimensional virtual experiment intelligent teaching system is a combination of virtual simulation technology and ITS.It solves the problem that students cannot successfully complete the experiment due to various factors such as lack of experimental equipment,insufficient experimental site,limited experimental time and danger in the experiment.However,most of the current researches on three-dimensional virtual experimental systems only focus on the authenticity and interactivity of experimental operations,and lack the learning process of knowledge concepts,so that students cannot well grasp the knowledge points related to the experiment.As the core module in ITS,knowledge base is the source of domain knowledge,used to express and apply knowledge,and knowledge representation is not the theoretical basis for knowledge acquisition,but also an important substitute for its realization of knowledge application.Therefore,the knowledge representation module is essential to ITS.In response to this problem,this paper uses the semantic network as a tool and method of knowledge representation to construct a knowledge base of junior high school physics three-dimensional virtual experiments,and the constructed knowledge base will serve as the source of knowledge and problems during the experiment.The main research contents of this paper are as follows:(1)Due to the complex knowledge of experimental courses,there is currently no unified modeling software for the knowledge base of experimental courses,so this paper uses the.NET platform and Winform design framework combined with the characteristics of the semantic network to design and develop the KRLab semantic network modeling Software,the software can be used to quickly construct the knowledge base of the three-dimensional virtual intelligent teaching system.(2)In order to facilitate knowledge acquisition and reasoning,in the design process of semantic network,nine types of semantic connection relationship are defined,namely:object description connection,association connection,time and space connection,behavior event connection,comparison connection,restriction connections,math-related connections,external connections,and other types of connections.The courses are divided according to the types of knowledge,and a semantic network knowledge base of seven types of knowledge of concepts,conclusions,formulas,units,experiments,phenomenological knowledge,and equipment has been established.The established knowledge bases can be used as the source of knowledge in 3D virtual experiments.(3)An automatic question generation method based on the semantic network is proposed.By constructing the question semantic network and setting question templates of different connection types,in the process of semantic network analysis,different types of learning questions are automatically generated from the semantic network.(4)The three-dimensional experiment of junior high school physics is used as a verification,and the experimental semantic network knowledge base is established as an interface,which is applied to the three-dimensional virtual experiment intelligent teaching system,which realizes the function of the knowledge representation module and provides an intelligent learning environment for students..