| Compared with other study periods,the postgraduate study will emphasize the breadth,depth and relevance of learning,and pursue deep learning in the real sense guided by the improvement of individual ability.Therefore,it is very important to carry out researches on deep learning around graduate students.This paper focuses on the current situation and influencing factors of deep learning of academic master students by combining theoretical analysis with empirical research.This paper takes cognitive learning theory as the theoretical basis for analyzing "deep learning",focuses on studying the deep learning process of academic master students in line with cognitive laws,and forms a theoretical analysis framework including knowledge system construction,transfer and application,innovative thinking and reflection and criticism.Among them,the construction of knowledge system is the absorption and storage of knowledge,and the transfer and application point to the output of knowledge.Innovative thinking is mainly composed of convergent thinking and divergent thinking,which is the subject’s deeper processing and higher output of knowledge.Meta-cognitive experience,monitoring and regulation constitute strategic learning links,namely reflection and criticism.The depth of learning runs through the deep processing of information in the above links,based on which learners internalize and transfer the multi-dimensional value of knowledge.Then to classical literature in the field of psychology and cognitive learning theory of precipitation analysis framework as the basis,the comprehensive reference about the empirical study of deep learning,by the method of questionnaire survey,the depth of the academic master’s study present situation and influencing factors of study,with the help of statistical analysis tools to complete the observation of deep learning practice.During this period,the questionnaire was designed in strict accordance with the scientific process,and invalid observation dimensions and indicators were eliminated to form the questionnaire of "Status quo of deep learning and its influencing factors".In the pre-test stage,a total of 90 valid questionnaires were collected to verify the rationality of item setting and the overall reliability and validity of the questionnaire.By deleting and modifying some items,relevant experts were invited to further evaluate the content of the questionnaire and form a formal questionnaire.In this study,a total of 476 questionnaires were issued and 430 valid questionnaires were collected.SPSS 25 software was used to analyze the data and complete scientific observation of the status quo of deep learning and the investigation of its influencing factors,so as to realize the deep application of cognitive learning theory in the field of deep learning.According to descriptive statistical analysis,the overall performance of deep learning of academic master students in J University is average.Among them,the score of innovative thinking and knowledge system construction is relatively low,the performance of students in reflection and criticism is better,and the performance in transfer and application is the best.At the same time,many detailed problems are found,such as students’ lack of internal motivation,weak ability to construct knowledge system and weak ability to solve complex problems.In terms of the difference test,grade is significantly positively correlated with deep learning,that is,the level of deep learning in the third year of graduate students is significantly better than that in the first year.In terms of influencing factors,this study conducted linear stepwise regression on variables,and the results showed that individual factors and learning environment variables were significantly positively correlated with deep learning,while tutor factors did not significantly affect students’ deep learning.Finally,based on cognitive learning theory and empirical results,this paper not only analyzes the typical problems,but also completes the verification and supplement of similar research results.Also to the details and particularity of the case understanding and grasp,to broaden the ideas for the follow-up research.On the one hand,in view of the problems summed up in the current situation of deep learning,such as lack of internal motivation for learning,weak ability to construct knowledge system,and insufficient guidance of tutors,optimization measures such as "drive internal motivation for learning,graduate students take the initiative to learn","strengthen guidance of tutors,care for students’ life" are proposed.On the other hand,the special result of "significant differences in deep learning between students of different genders" appeared in the study was deeply discussed,and the differences in deep learning between men and women were differentiated,which was essentially due to the differentiated requirements of the society for different genders. |
