Research And Design Of Visual Learning System Based On Knowledge Space Model

In recent years,with the development of big data and artificial intelligence technology,personalized learning has become a research hot spot in the education industry.Adaptive learning system is a technology or product that provides personalized learning content according to learners’ characteristics.It can find learners’ knowledge blind spots or ability weaknesses through data analysis,plan learning paths for each learner,recommend learning resources,and effectively improve learning efficiency and quality.Adaptive learning system usually consists of three core components: domain model,student model and adaptive model.Domain model is a structured description of domain knowledge or course content,which is the basis of student evaluation model and adaptive matching model.This paper proposes a method to construct a domain model knowledge space model,which defines the hierarchical and sequential relationship of knowledge units.Based on Bloom’s taxonomy of educational objectives,the key words of knowledge units are extracted and the ability dimension is set.The curriculum objectives of knowledge units are described in the form of "key words + ability dimension",which is helpful to realize students’ knowledge and ability Comprehensive evaluation of ability.Based on the above knowledge space model,this paper designs an adaptive learning system for the course of automatic control principle,which visualizes the relationship between knowledge units in the form of map.Teachers can manage learning resources and students in the background,and students can open learning resources on the map interface for learning and testing,The cognitive ability evaluation system can display the results of students’ ability evaluation after the test.Finally,based on the measured data of teaching practice,this paper uses the project response theory to study the problem of students’ learning evaluation,and gives the results of students’ ability evaluation.