Data Driven Higher Education Management&Decision Making:Techniques And Applications

The information construction in the field of higher education continues to advance,requiring the value of business data such as teaching operation.Research on Curriculum Evaluation Based on Education Data Analysis,the personalized management issues of undergraduate courses have theoretical significance and value.1.First-class curriculum construction,relationship with first-class professional construction and first-class undergraduate education results.The course evaluation results can be used to guide the curriculum construction.Taking Taiyuan University of Science and Technology as a background university,based on the analysis of curriculum evaluation requirements,the course evaluation model is studied;through the investigation of teaching management function sectors,it has obtained the high-quality course evaluation indicators covering the dimensions such as teaching team,teaching content,teaching resources.System,set the teacher’s style,teaching level,teaching and research activities and results,etc.,it is determined that multi-dimensional evaluation of students,teachers,peer experts and teaching supervision;the questionnaire data is carried out;After cleaning,the construction course evaluation data set;considering the suppression of misleading rules,an Apriori association rule mining algorithm based on differential interest is proposed to verify the effectiveness of the proposed method in improving the accuracy of knowledge discovery.2.Analysis of learning behavior interventions in undergraduate courses,establish a studio warning model.Use the online course platform Super Star to participate in the courses Business Intelligence student,discussion,video viewing and other multidimensional learning behavior data,the teaching management system is read in the course of student results data,construction training sets and the test set;the C4.5 decision tree model,the support vector machine(SVM)model,the simple Bayesian model,and the genetic algorithm optimized BP neural network model construction classifier;training and predict the learner’s hanging book.The results show that the BP neural network model optimized by genetic algorithm is used to improve the generalization capacity,predictive accuracy and accuracy using genetic algorithm optimization.3.According to software engineering three-element method,the class business intelligence system architecture is used to design the teaching management analysis of the Windows 10 environment.In the data acquisition and management,the constellation model of the data warehouse is designed with the SQL Server 2012 tool.It is determined that the undergraduate course platform,teaching operation management,questionnaire research platform,etc.,data pretreatment,and support in database forms and data.File form data load.In the data analysis level,the embedded improved Apriori association rule mining algorithm model,the genetic algorithm optimized BP neural network prediction model is supported by support curriculum evaluation and academic warning functions.The test results show that the prototype system function is basically realized.The knowledge discovery technology based on the analysis of educational data,as well as the research on student learning and teaching management supported by related technologies,have improved the scientific evaluation of courses and the personalized management level of student learning,and taught teachers,student learning,and functional department teaching management And education administration department management,etc.provide data-driven management and decision-making application demonstration.