Font Size: a A A

Effect Factors And Mechanism Research About Deep Learning

Posted on:2018-01-31Degree:MasterType:Thesis
Country:ChinaCandidate:L FengFull Text:PDF
GTID:2347330533957393Subject:Pedagogy
Abstract/Summary:
Deep learning is an essential requirement of learning society.The essence of learning has transited to deep learning,which stresses the ability of information integration,knowledge construction and application of solving practical problems.In fact,it is a common problem that College students behave poorly in deep learning.So it is critical for us to make sure which factors impact it and how these factors affect it.Looking through most domestic researches,a large amount of them tend to find differences about the objects’ standard of deep learning,and regard the obvious characters as the effect factors of deep learning.In addition,some researchers choose to detect the relationship between a single factor and deep learning.However,it is rare to base on a rigorous theory and strict model to detect the relation between factors and deep learning,and there still consists some problems on research skills.In this research,I’ll detect the relationship between factors and deep learning based on the theory Student Study Engagement,according to two categories“College Students Behavior” and “College Condition”.It has theoretical and practical significance.In this study,the results of CCSS survey in 2015 were used as data samples,and the analysis software SPSS 21.0 and Amos 21.0 were used to describe the current situation of students’ deep learning as well as the effect factors and effect mechanism of college students’ deep learning.In the process of data analysis.Firstly,the three-dimensional structure model of deep learning in CCSS project will be tested for its reliability and validity.Secondly,based on the concept of college students study engagement,the paper will test the effectiveness about the factors from two categories "student behavior" and "university condition" to see if they can effect deep learning.According to the relationship among them,the dependent variable self-report education harvest will be introduced to explore the impact mechanism of deep learning.Here are the main conclusions from this study:(1)three-dimensional model of deep learning can be spread;(2)different disciplines and gender has an obvious difference in deep learning;(3)the tendency to learning,active cooperative learning and the interaction between teachers and students havesignificant influence in deep learning;(4)deep learning is the mediation between multiple study ways and education harvest;(5)there is two-way impact between deep learning and five factors of study engagement.
Keywords/Search Tags:Deep Learning, Students Study Engagement, Effect Factors, Structural Model, Mediation Analysis
Related items