Research On The Dynamic Evaluation Of College Students' Learning Quality In The Era Of Big Data

At present,the evaluation of College Students' academic quality as an important way to guarantee the quality of higher education has become one of the research hotpots in academic circles.Big data era makes educational evaluation go from "empiricism" to "data",from "group evaluation" to "individual evaluation",from "single evaluation" to "comprehensive evaluation" and the evaluation index system as the concrete forms should also adapt to the new era.Based on this,the study focuses on the index construction of College Students' academic quality evaluation in the era of big data.After defining the concept of academic quality and academic quality evaluation,the paper expounds the theoretical basis and the practical demands to conduct the evaluation of College Students' academic quality on the era of big data.The paper takes the construction of evaluation index system of College Students' academic quality as the core task,so as to realize the comprehensive and procedural and individual evaluation to promote all-round development.First of all,this paper,based on the relevant literature and the background of large data,defines the evaluation of academic quality as a full evaluation of the intelligence and non-intelligence of college students.We make the multiple intelligence theory and constructivism as the theoretical basis,in accordance with the "student-centered" concept.The multiple intelligence theory emphasize the diversity and situation when evaluate,and constructivism theory embodies the process and personality when evaluate.Secondly,based on the interpretation of the College Students' academic quality,the paper combines the index changes with the age of big data and constructs the evaluation index system from the starting point of evaluation,process evaluation and graduation evaluation.In the process evaluation,we constructed evaluation index system of the theoretical courses,experimental courses,moral quality and graduation thesis to "always approach every aspect of the real students".Finally,the empirical study of the index system is carried out.In the process of empirical research,the analytic hierarchy process(AHP)is used to give weight to the four indexes of the theoretical course,the experimental course,the moral quality and the graduation thesis.In A School we make the "engineering thermodynamics" curriculum from engineering college,the "university physics experiment" of the solid linear expansion coefficient project as flipped classroom practice,and then normalize the virtual and real data,using the fuzzy mathematics model to get the comprehensive evaluation results of college students in the theoretical courses and experimental courses;Combined with the second class participation of A school' students which recorded in the electronic archives,according to moral quality evaluation index,we collect the evaluation data including instructors,students,parents,peers to get students specific evaluation results in moral,social practice,innovation ability and humanistic quality;We take the college students' graduation thesis as the evaluation object and invite experts to evaluate the thesis on the topic summary,experimental design,data processing,analysis and writing in order to get the specific evaluation results of the graduation thesis design.Through the application of this index system,we can make a comprehensive analysis and portrait for the college students and realize the timely feedback to the merits and demerits of the college students.Because of my own energy and capacity constraints,the evaluation of College Students' academic quality did not realize the integration of the various modules' data.We did not designed an automatic evaluation system based on the fuzzy mathematics theory,so the construction of a comprehensive evaluation system which is easy to implement need further study.