A Study On The Impact Of "Evaluation-Feedback" On Deep Learning Of College Students

"Opinions of the Ministry of Education on Deepening the Reform of Undergraduate Education and Teaching and Improving the Quality of Talent Cultivation." issued by The Ministry of Education called for improving the quality of talent cultivation by teaching reform.High standards and strict requirements for the quality of talent training have urged college students to carry out deep learning,and the key to achieving deep learning is the problem of student investment,on the other hand,an appropriate "evaluation-feedback" can help urge students to increase their investment in learning and promote students' deep learning.This study uses experimental research methods to select the core courses of educational technology majors in a university for practice,and explores whether different goals and different types of knowledge using different "evaluation-feedback" methods can achieve the goal of promoting college students' deep learning.This study found that "machine evaluation-machine feedback" can effectively ensure the achievement of students' shallow learning;"teacher-student evaluation-mutual assistance feedback" and "self-reflection-self-feedback" help to enhance students' deep cognition which also can promote and achieve students' high-order goals.According to the research process,this paper is divided into seven chapters: the introduction section mainly introduces the research background,questions,goals,content,methods,routes,and significance;the research status section defines the concept of deep learning,and also summarize the research status of deep learning and the relevance between research status of "evaluation-feedback" with learning effects.Researchers have constructed different "evaluation-feedback" methods according to different types of knowledge.This study mainly use three types of "evaluation-Feedback" in the implementation process;in the application effect analysis section,different application effect of "evaluation-feedback " methods is analyzed through test scores,homework texts and scores of reported works;in the conclusions and recommendations,the results of students with different "evaluation-feedback" methods to achieve different cognitive levels and goals are summarized,and also give suggestions for the application of the "evaluation-feedback" method;finally,the shortcomings of this study is reflect on.In order to promote deep learning for college students,this research has explored a suitable evaluation and feedback method for different types of knowledge and different learning goals through a one-year experiment.It provides a reference for college teachers to carry out blended learning,flipped classroom teaching,and online teaching.However,this study has some limitations in the selection of the sample,in order to ensure the external validity of this study in the future work will be to expand the sample size of the study selected to extend the time of the study,expected to be more accurate conclusions.