Research On The Construction Of Curriculum Knowledge Network Based On Knowledge Visualization

With the continuous development of the field of educational technology and the deepening of educational information,the appearance of knowledge visualization tools and resources provides a new idea for the teaching of curriculum knowledge structure.Using knowledge visualization can better present the knowledge structure of the course for students,and promote the formation of students’ awareness of the course knowledge network and the construction of knowledge network.However,in daily course teaching,the overall knowledge structure network of the course is often ignored,and the "knowledge point" in the course is often regarded as a single learning object,so there is a lack of learning process of the relationship between knowledge points,so that each knowledge point is "isolated",resulting in the incomplete and unsystematic knowledge point content learned by students.Firstly,through literature research,this paper combs the researches related to knowledge visualization and knowledge network,defines the concepts of curriculum knowledge network and knowledge visualization involved in the research,and clarifies the definitions of the main concepts involved in the research.Determine the theoretical basis of the research,and carry out the research under the guidance of double coding theory,schema theory and constructivism theory.Secondly,on the basis of analyzing the source of visualization data of curriculum knowledge network,the design process and ontology structure of visualization ontology of curriculum knowledge network are determined.Then select specific courses based on TF-IDF algorithm and mutual information MI to extract course knowledge and the relationship between knowledge,and use Protege software to construct visual course knowledge network.After the completion of the construction,the interview method was used to obtain the feedback of experts on the construction results of the course Knowledge network and modify it.Then questionnaire survey was adopted to investigate the application status of knowledge visualization in the course,to understand the specific situation and existing problems of knowledge visualization in the course teaching.The survey results showed that more than 93% of the students were willing to use the form of knowledge visualization in classroom teaching.However,in the concrete application process,there are some problems such as improper application of visualization and the ability of knowledge visualization to be improved.On this basis,the applicability of knowledge visualization in course teaching is clarified.Then based on the four-dimensional framework of knowledge visualization and ADDIE teaching model design knowledge visualization teaching application framework and specific process.Then the evaluation scale is designed for the application cases of knowledge visualization design,and the concept map tool is introduced to evaluate the results of the construction of students’ curriculum knowledge network.Finally,specific chapters are selected to use knowledge visualization network diagram to design teaching cases for classroom teaching application.After two rounds of research,the application results and effects are evaluated,and the score rate of both times is above 70%,indicating that the course knowledge network design based on knowledge visualization is more effective,but it still needs to be imp-roved.At the same time,the students’ learning results were evaluated,and the total average score was more than 86%.It can be seen that students have the ability to draw concept maps,and basically built a relatively complete course knowledge network.Through this research and teaching practice,it can be seen that the knowledge network based on knowledge visualization can promote students’ learning of curriculum knowledge structure.Although there are some shortcomings in the research,it can provide inspiration and reference for the research of knowledge visualization applied to education and teaching to some extent.