Research On The Application Of Data Mining In The Analysis Of Students' Scores

With the rapid development of society,the popularity rate of higher education in China is becoming higher.The educational networks management systems o f colleges have accumulated a large amount of data as the enrolled number of students is getting larger.Facing larger sum of data,many teaching administrators still stay at the elementary level with the data,such as inputting,searching,counting,copying,etc.They are not able to effectively take and analyze the useful knowledge and information implied in the data.How to use these data to evaluate the scientific nature of teacher's topics and find out the distribution of each course scoresandpredict the importance of the curriculums and find out the relevance between the students' scores and the curriculums is so as to support decisions and guide teaching.The data mining technology which emerged at early 1990 s can solve this tough problem effectively.Firstly,this paper introduces the research background and significance of data mining,then it summarizes research status both at home and abroad.In Chapter 2,it consists of the analysis the concept,methods,process and tools of data mining introduced in details.Chapter 3 has analyzed students' Computer Level Test result(O ffice Advanced Application)through Microsoft Excel and IBM SPSS Statistics software based on feature description,mining the student performance of the general feature of the distribution,from which to find out useful rules and models to evaluate the scientific nature of teacher's topics.The fourth and fifth chapters respectively introduce the concepts and classifications of cluster analysis and association rules in greater details.Besides,their classic algorithms——K-Means algorithm and Apriori algorithm will be further studied.Lastly,according to the thought of scheme design,data preparation,model establishment and result analysis,it uses the K-Means algorithm and Apriori algorithm to analyze the scores of the students who major in accounting of Guangzhou College of GS,with the aid of the IBM SPSS Modeler software.In order to dig out the distribution of students' scores in each course and predict the importance of curriculum,it also finds out the relevance between courses.The analysis results will guide and help students make learning plans and optimize learning methods and improve learning efficiency.They will also provide a reference for teachers to carry out teaching activities and improve the quality of teaching and make teaching reflections and summaries.What's more,the results will offer decision support for the teaching administrators to set up the curriculums and make the teaching plans and revise the training schemes.At the same time,they will provide an important basis for the college to deepen teaching reform and improve educational qualities and optimize the management mechanism.