Research On Influencing Factors Of Master’s Dissertation Guidance Dislocation Based On Association Rules

As the number of postgraduates increase in China,improving the quality of postgraduate education is an important task of current postgraduate education.Postgraduate degrees universities and colleges in China are divided into academic and professional types.The two have different training goals,dissertation forms and requirements.Affected by many factors,there is a common dislocation phenomenon between academic degrees and professional dissertations.The dissertation,as the result of the study and research of master students,is the embodiment of the basic theory and practical application of professional knowledge.The dislocation of the dissertation reflects the training of master students Dislocation,therefore,studying the influencing factors of the dislocation of master’s degree thesis is of positive significance for distinguishing the positioning of academic degrees and professional degrees,improving the quality of postgraduate training,and establishing a harmonious tutoring relationship.Based on the theory of higher education diversification,higher education "academic drift" theory,and association rule mining model,this research tries to apply the method of association rule mining to the analysis of the influencing factors of the dislocation of master’s degree and master’s degree thesis."Different from the requirements and evaluation focus of the dissertation review book for the master’s degree and the master’s degree,the difference between master’s degree and master’s degree is analyzed in detail,in order to distinguish academic dissertations from professional dissertations,and construct a degree thesis bias evaluation index system,From the selection of influencing factor data to the realization of the association rule algorithm,an analysis model of the influencing factors of dissertation dislocation is constructed.Then use the model to use the data of 2,825 computer-related dissertations guided by 243 tutors in three universities from 2009 to 2017 as the case study object,and preprocess the data such as discretization,construct a database that conforms to the Apriori algorithm mining format,and use Apriori association rules Algorithm,select the number of tutors instructing masters and special masters,the number of master students participating in horizontal and vertical topics,the number of journal papers published by master students,the patent status of master students,and the title of the tutor as influencing factor data,mining and revealing its and master’s thesis The relationship between dislocations.The study found that:the overall probability of professional dissertation dislocation is slightly higher than that of academic dissertation;among the selected influencing factors,the number of supervisors instructing more than 6 master’s students,and the supervisor supervising master’s degree and master’s degree thesis at the same time;professional master’s students The probability of dislocation of the dissertation is higher when there are less participation in horizontal topics,fewer published papers in applied journals,and fewer patents;the tutor alone supervises the master or special master;the number of tutors is less than 5,academic master Students’ participation in topics is more focused on vertical topics,and when there are fewer patents,the dissertation is not prone to dislocation.Finally,based on the experimental results and analysis of the status quo,several suggestions are put forward to reduce the misplacement of the dissertation by postgraduate tutors:Correctly distinguish between "academic orientation" and"application orientation";rationally allocate the number of tutors to guide masters and masters;build a harmonious guide Study relationship;strengthen the dynamic management of dissertations.