Research On Undergraduate Making Deep Learning In Network Environment

This research tries to discuss the current situation and influences when the undergraduates are doing some deep learning in network environment, in order to find the performances between different professions, meanwhile,giving some advice.The study makes use of documentary analysis,interview and investigation method. The tools consist of questionnaire made myself,the goals are 160 students on campus from Zhejiang Normal University and Hangzhou Normal University.Once the questionnaires are taken back, I test and verify their scientificalness, with SPSS,I dealed with the data and made some analysis.And my statistical method include descriptive statistics, Pearson correlation coefficient, independent sample T test, Kruskal-Wallis H test, principal component factor analysis. The research conclusions are:1. Credibility and validity test states that "scale of students making deep learning " is proved scientificly. With the coefficient of internal consistency, the credibility of internal data a= 0.8381>0.8, it indicates that the internal credibility is agreed. Meanwhile, KMO and Bartlett test reach a valid conclusion.2. Displaying are very different classified by sex and major.Schoolboys can make deep learning easier than girls, management pupils and literature pupils fall behind the pupils learning education,engineering course,economics and law in seeking information.3. By means of principal component analysis,we get 7/25 factors of influence,they are "students can classify network learning resource", "associate pre-existing knowledge", "pupils download and save learning resource initiatively", "pupils initiatively check whether somebody is interested in the skill or not ", "pupils upload new related resource positively ", "pupils collect learning website positively".On the grounds of the research results,firstly,we should enhance and guide undergraduate to make deep learning on line, especially of structuring knowledge by themselves.Strengthen the initiative and consciousness when they are doing deep learning.Secondly,we should build an network environment which is in favour of deep learning, supply plenty of types of learning resource on line, build incentive system when they make deep learning, augment communication between undergraduates, offer interactive learning platform which is convenient and fast.