Research On The Construction Of Teaching Evaluation Model Of Volleyball General Course In Colleges And Universities In Shaanxi Province Based On Big Data

In today’s information age,big data technology has become an advantage of competition and innovation in all walks of life.The field of PE teaching evaluation is gradually entering a new period.The combination of big data technology and the teaching evaluation of college volleyball course can help educators to better complete the teaching evaluation work,effectively improve the teaching quality of college volleyball course,promote the common development of teachers and students,and also provide a new idea for the reform of college PE teaching evaluation.In this study,literature,expert interview,questionnaire,mathematical statistics,logical analysis and other research methods were adopted to understand the teaching evaluation status of college volleyball general course in Shaanxi Province,summarize and analyze the existing problems of its teaching evaluation mode,formulate the teaching evaluation index system of college volleyball general course in Shaanxi province based on expert opinions,and integrate the relevant knowledge of big data application.This paper preliminarily constructs the teaching evaluation model of volleyball course in colleges and universities in Shaanxi Province based on big data.Research results:(1)The teaching evaluation mode of college volleyball general course in Shaanxi Province based on big data includes three parts: evaluation subject,evaluation content and evaluation process.(2)The teaching evaluation model of college volleyball general course constructed in this study includes two aspects: teacher teaching evaluation and student teaching evaluation.The subject of teaching evaluation includes teachers,students,peers and teaching organization managers.Teachers are evaluated by means of mutual evaluation among teachers,teaching evaluation by students,self-evaluation and superior to inferior evaluation.The students were evaluated by teacher evaluation,self-evaluation and group evaluation.(3)Among the teaching evaluation indicators finally determined in this study,teachers’ teaching evaluation indicators include 3 first-level indicators,10 second-level indicators and 35third-level indicators;There are 3 first-level indicators,7 second-level indicators and20 third-level indicators for student teaching evaluation.(4)The evaluation process fully applies the big data intelligent teaching evaluation platform,which is composed of three links: data collection,data processing and analysis,and evaluation data visualization and feedback.Draw a conclusion:(1)At present,the teaching evaluation of volleyball general course in colleges and universities in Shaanxi Province has some shortcomings and deficiencies in the evaluation subject,evaluation content,evaluation feedback mechanism and other aspects,which will become a stumbling block for teaching evaluation to play a practical role in teaching activities.It can be seen that colleges and universities need to pay more attention to the application,reform and innovation of teaching evaluation.(2)The teaching evaluation model built by combining the knowledge of big data in this study has a certain guiding role.The evaluation indexes adopted can basically reflect the status and effect of "teaching" and "learning" of teachers and students in all aspects of teaching activities.Moreover,the calculation and distribution of index weights are more scientific and reasonable,which improves the supervision and feedback mechanism of teaching evaluation.It can basically solve the existing problems in the teaching evaluation of the volleyball general course in colleges and universities in Shaanxi,improve the teaching evaluation mechanism and improve the teaching quality of the volleyball general course.Therefore,it is feasible to apply big data to the teaching evaluation of the volleyball general course in colleges and universities.(3)The combination of big data technology and teaching evaluation is still in the exploration and development stage.In the process of designing and constructing teaching evaluation model,we should focus on the wide and comprehensive range of data collection and large amount of data.Data processing and analysis should make full use of big data algorithms and be combined with computer technology.Teaching evaluation feedback should be open to all evaluation subjects in time and give specific suggestions.