A Survey Of College Students' Deep Learning Using Network Learning Space

Network learning space is one of the important strategies to promote education informatization in China.During the 12 th five-year plan period,the state attaches great importance to the project of "three links and two platforms".In November 2015,the second national conference call education informatization,deputy prime minister liu yandong put forward "to further improve the‘three links and two platform' " project,which popularize and build the network learning space deeply.With the national policy support,network learning space has achieved rapid development and use wide application in the teaching of education.Online learning space is a cloud based,net,the integration of a new learning environment,which is of great significance to promote the teaching methods and change of learning style,and to promote college students to carry out deep learning with unique function and value.In this context by developing a questionnaire,use of network learning space for college students to carry out the deep learning situation research,find the problems and put forward the corresponding suggestion is a very meaningful work,this is not only to implement national informatization of education strategy,has the certain reference value and the change of higher education has important guiding significance.The main work and results of this study are as follows:One,in the literature on the basis of combing the concept of deep learning,online learning space is defined,clarify deep learning and network learning space research status and development trend,trying to grasp the deep learning and network learning space frontier,for later in the questionnaire design,development,provide guidance and help.Second,consulting a large number of existing literature,combined with the interview results of college students and NSSE-China deep learning scale,a total collection of deep learning evaluation 23 project and 20 on network learning space application investigation of sub-projects,compile the initial questionnaire.The questionnaire was first reviewed and evaluated by relevant experts and university students,and the initial questionnaire was determined.Three,recovery test questionnaire,combined with the test feedback questionnaire and data statistics,eventually established deep learning part as a four dimensions(input and reflection to consolidate learning,higher-order learning,integrated learning),network learning space application part of four dimensions(resource acquisition,exchanges and cooperation,feedback and evaluation,service support).In addition,some sub-items of theinitial questionnaire were revised,and the final questionnaire was formed through the expert review,and a large-scale investigation was conducted.Fourthly,the questionnaire was started by using the questionnaire,and more than 200 formal questionnaires were collected.The questionnaires were filtered out and invalid questionnaires were excluded.The reliability and validity of the recovery questionnaire were tested by SPSS software.According to the research needs,descriptive analysis and difference analysis were carried out.Through the deep learning internal do correlation analysis and network learning space and depth analysis of the correlation,for later exploration research in the impacting factors of network space and depth of learning.Using stepwise multiple regression analysis to find the main influence factors of network learning space on deep learning.Five,the data analysis results show that college students' learning commitment and reflection to consolidate and integrated learning difference is bigger,the network learning resources in space,interaction and feedback is most bright for the influence of deep learningShow.In view of the above contents,this paper proposes some Suggestions to promote the deep learning of college students using online learning space based on the specific content of the survey questions.Finally,this paper summarizes the research,further elaborates the innovation points of this research,and points out the shortcomings of this study and the prospects for future research.