| Education has always been an important cornerstone of my country’s social development.With the rapid development of the social economy and the full spread of the Internet,my country’s education "13th Five-Year Plan" outline focuses on the basic realization of education modernization by 2020.The popularization of higher education and the expansion of the scale of colleges and universities brought about by "education modernization" have caused the data of each school system to increase exponentially,and the student’s course performance data in the educational administration system has also accumulated a large amount of data,and the correlation between courses can be found from the massive performance data.,The design of a course recommendation system that can provide students with personalized services has become a key research topic for experts from all over the world.At present,most of the analysis and utilization of college students’ performance in China are still on the surface of the data,such as additions,deletions,changes,horizontal comparisons,vertical comparisons,etc.The associations between courses are mined based on the performance data,and the associations found are The research aspect of school students designing a course recommendation system is not based on suitable students,and it is not targeted enough.In order to recommend elective courses for students in a targeted manner,s o that students can learn more suitable courses,obtain better grades,and improve the quality of school teaching.Based on the large amount of relevant materials consulted in the previous period,this article starts with the understanding of the current situation and the problems found.,Use big data technology to carry out research on grade analysis and course recommendation system.First,we will explore in detail the development process,research background and research status of big data technology and performance analysis and recommendation system.Secondly,it mainly develops the basic concepts of big data techn o-logy,big data processing platform and the most important step of the system in the process of data analysis and processing-data mining.Then,through the association rule Apriori algorithm,the support and confidence of the 10 courses of 20 students are calculated,and the potential associations between the 10 c-ourses are found,as the basis for the next experiment,and then the 2016 level of building electrical and intelligence in a university Using the score data o-f 33 courses of 83 students as the basic data source,using the classification model and the association rule Apriori algorithm to predict and mine the associations between the 33 courses,the mining results prove that certain courses a-re indeed related.The degree of mastery in one course or several courses may affect the grades of some courses that follow.Finally,according to the results of course mining,a recommendation algorithm based on association rules is used to design a course recommendation system,which can recommend courses suitable for students and provide targeted services for students.This paper achieves the goal of using big data technology to analyze grad e data and design a course recommendation system.The system provides stude nts with personalized services for recommending learning courses suitable for the students,which provides the possibility to improve the course performance of students in this major and improve the quality of college teaching. |
