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Research On The Influencing Factors Of College Students’ Deep Learning In Online Learning

Posted on:2022-07-25Degree:MasterType:Thesis
Country:ChinaCandidate:M T ChenFull Text:PDF
GTID:2557306350970409Subject:Education Technology
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Since the 21st century,with the emergence of learning science,the essence of knowledge has been transferred to "deep learning",which requires learners to construct the meaning of knowledge,think critically,integrate and innovate.In the informationbased and knowledge-based society,it is far from enough for people to simply remember the independent declarative knowledge and step-by-step procedural knowledge.Their deep learning ability has become an urgent need for cultivating innovative talents in this society.How to promote learners’ more effective and in-depth learning has become an important issue in the field of learning science.In create a digital learning environment,many colleges and universities have opened more online courses on their learning platform,which allows students to learn online courses anytime and anywhere,interact with teachers online and share with students in collaboration.However,many researches on the quality of College Students’ online learning show that most learners have low course completion rate,low learning participation,low learning effectiveness,and are easy to stay in the shallow level of learning.Therefore,promoting learners’ deep learning is of great significance for continuous and effective online learning.So,what are the influencing factors of College Students’ deep learning in online learning?How do these factors affect students’ deep learning?Based on this series of research questions,this study explores the influencing factors of College Students’ deep learning in online learning,and puts forward suggestions and strategies to guide learners into deep learning combined with the actual learning situation,which has theoretical and practical reference value for improving online learning performance and learning effect.Firstly,on the basis of combing and analyzing the relevant theories and literature of deep learning,the author extracted the influencing factors of deep learning from two aspects of online learning environment(teaching,social interaction,curriculum,technology)and individual psychology.Combined with the characteristics of online learning environment,through interviews with teachers and students who use the cloud platform of Normal University for teaching and learning,this paper further improves the extracted influencing factors,constructs a theoretical model with teaching presence,social presence,course content,perceived ease of use,learning motivation and flow experience as the influencing variables,and puts forward the corresponding research hypotheses.Then according to the above research variables,we choose the authoritative maturity scale,combined with the research environment to prepare the questionnaire.Next,the preliminary questionnaire is pretested and revised according to the results of data analysis.Finally,the questionnaire with good reliability and validity is determined.In this study,we selected the students of H Normal University in Central China who have studied on the cloud platform of Normal University developed by H Normal University as the research objects,and received 607 valid questionnaires.We used spss24.0 and amos24.0 software to process the data,and conducted descriptive statistical analysis,measurement model and structural model test.Finally,combined with the results of model hypothesis test and qualitative material analysis of interviews with nvivo11.0,this paper analyzes the influencing factors of College Students’ deep learning in online learning,and puts forward some suggestions and strategies to promote deep learning.The main conclusions of this study are as follows:(1)in online learning,there are significant differences in demographic variables such as grade and major;(2)In online learning,students’ perception of teaching presence has a significant direct and positive impact on deep learning,and also has an indirect and positive impact on their deep learning through flow experience,social presence flow experience and other intermediary chains;(3)In online learning,students’ perceived social presence has an indirect and positive impact on their deep learning through flow experience;(4)in online learning,course content has an indirect and positive impact on their deep learning through learning motivation;(5)in online learning,perceived ease of use has an indirect and positive impact on their deep learning through learning motivation;(6)in online learning,learners’ learning motivation has an indirect and positive impact Both machine and flow experience have significant direct and positive effects on deep learning.According to the research conclusions and interview results,this study puts forward five suggestions to promote college students’ deep learning in online learning from the aspects of teaching,social interaction,course content,technology and individual learners:(1)stimulate students’ interest in learning and create flow experience;(2)create teaching presence to accelerate the construction of deep knowledge;(3)create social presence to enhance learning efficiency Students’ sense of belonging to the curriculum;(4)optimize the content design of the curriculum to enhance students’ classroom participation;(5)improve the usability of technology to promote students’ effective learning.
Keywords/Search Tags:Online learning, College students, Deep learning, Influencing factors, Structural equation modeling
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