Research On The Relationship Of Knowledge Points Based On Test Scores

At present,the association rules mining algorithm mostly relies on the final grade of the course to explore the association between the students and courses,and rarely explores the knowledge association of the knowledge points within the course and with other courses.To tackle this problem,this thesis mainly analyzes the scores of knowledge points in the students' test papers,and excavates the relationship among knowledge points.And at the same time,it combines the inherent inclusion relationship and precursor relationship among knowledge points,and uses the neo4 j graph database to visualize the results.Then the visualized result is utilized to conduct guidance and early warning to students.Firstly,according to the characteristic that the knowledge point score data in students' tests,this thesis analyzes the shortcomings of the existing width-first improvement algorithm and the DHP algorithm in time and space efficiency,putting forward an improved algorithm based on hash function.At the same time,on the basis of the existing evaluation indexes,an improved matching degree evaluation index is proposed to solve the data zero things independence problem.Secondly,experimental validation is conducted on the improved algorithm and matching degree evaluation index in the public dataset,it is concluded that the improved algorithm can effectively reduce the time overhead and the evaluation index can effectively reduce the number of generated association rules.Finally,the improved algorithm of this thesis is used to excavate the scores of knowledge points in the tests of those students majored in computer science in our school from 12 to 16 years,and combine existing knowledge points relationships--the predecessor and contains relationships and filters out effective association rules to help students better understand how well and how much they studied.What's more,it can also optimize resource allocation for school administrators,adjust guiding strategies,and provide technical theoretical support for the scientific management of school.