Research And Application Of Intelligent Judgment Technology Of Discrete Mathematics Subjective Questions

With the continuous development of the information field,the Internet,cloud computing,artificial intelligence and other technologies are constantly changing the lives of contemporary people.In recent years,informatization education at home and abroad has developed rapidly.Research on the intelligent judgment technology of discrete mathematics is an attempt to apply the technology of human-like judgment to the field of discrete mathematics.The use of the technology can effectively improve the efficiency of teachers,allowing teachers to have more time and energy to complete course preparations and provide personalized tutoring for students.Based on the course of discrete mathematics,this thesis studies the universal judgment methods applicable to various subjective questions,and then combines these judgment methods to design an accurate and efficient judgment process.Finally,these techniques are used to construct a set of the intelligent judging system for subjective questions in discrete mathematics.The main research contents are as follows:1.Discrete mathematics knowledge base construction.Based on the knowledge representation method of first-order predicate logic,combined with object-oriented technology,the knowledge of sets,relations,logic and other chapters in discrete mathematics is expressed to establish a structured discrete mathematics knowledge base.The knowledge base has high scalability and clear levels,which provides theoretical support for the subsequent research on the method of judging questions.2.Research on the judgment method for subjective questions.By analyzing the information of the subjective questions of discrete mathematics,the scope of the question knowledge base is defined.Then divide the question type,use knowledge base comparison,logical judgment and computational reasoning to study the judging method corresponding to subjective questions to ensure the accuracy of judgment.The knowledge base has a wide range of applicability and high efficiency in judgment;logical reasoning can help eliminate logical errors in steps;computational reasoning can improve the efficiency and accuracy of judgment for specific question types.3.Designed and implemented discrete mathematics intelligent judging system.The entire system includes four modules: user interaction,data processing,calculation and reasoning,and knowledge base,providing users with stable and reliable interaction and data transmission services.The data processing module performs character processing on the incoming user data and topical information,knowledge base generation and other services.In the calculation and reasoning module,the rule engine Drools is used to update the knowledge base,and then the right and wrong judgments are made through knowledge comparison,calculation analysis,and logical judgment.Finally,the user feedback mechanism is used to collect users' opinions so that they can be corrected at any time.