A Study On Key Factors Of Virtual Experiment Teaching System To Promote Students' Deep Learning

With the development of information technology,tools for teaching and learning are undergoing profound changes.After technological innovation,virtual experiment gradually plays an important role in promoting deep learning with the advantages of situatedness,authenticity,immersion and interaction.Starting from developing students'key competencies,the main content of this paper is constructing the key factors model and analyzing the relationship between the virtual experiment teaching system and the Deep Learning.In addition,we also pay attention to the research on practical application based on key factors.In my research,literature review,questionnaire and data analysis are adopted.The first chapter is introduction.In this dissertation,I have introduced the research background,analyzed the main content and significance of the research.Besides,I have also combed the technical route,the research methods and the overall framework of the paper.The next part of this paper is theoretical overview section,which contains chapter 2.By defining the concept,the virtual experiment teaching system is positioned as the desktop virtual experiment.From the aspect of technology,this paper analyzes the role of virtual experiment in promoting cognitive competence,creating situation and promoting evaluation in Deep Learning.The feasibility of constructing Deep Learning Field based on virtual experiment is analyzed,too.In addition,the paper discusses the theoretical foundation,which contains Constructivism Learning Theory,Situational Cognition Theory,Affordance Theory and Flow Theory.On the basis of the literature research,the Chapter 3 refines,transforms,reorganizes and clusters the variables related to the virtual experiment and Deep Learning,and constructing the framework of interface design,interactive design and operational design.Lifelike degree of the scene is a main index in the model.Moreover,the model is supplemented by deep logic combing and connotation clarification.Based on the previous research,I have advanced some primary ideas for the operational expression of variables in the model.The fourth chapter is the empirical research about the key factors model.A questionnaire survey has been conducted to collect the students' views on virtual experiment and its relationship with Deep Learning.In order to find out what is revealed behind these statistics,Reliability Analysis,Principal Component Analysis,Correlation Analysis and Stepwise Multiple Regression Analysis are adopted.The research findings show that the interface design,interaction design and operation design of virtual experiment all have significant correlation with Deep Learning.The optimization design of virtual experiment teaching system based on key variables and detailed indexes can help students to achieve the state of Deep Learning.With the analyzing results,a few of proposals about how to design and use virtual experiment teaching system to promote students' learning are offered.Finally,the dissertation summarizes the imperfections about the study and points out some suggestions for future work.