Construction And Effectiveness Of College Students’ Online Learning Community For Deep Learning

The requirements of the information society for talents training are the ability to transfer and integrate knowledge,to organize and solve problems,to keep learning new knowledge and technology,to master the way to learn and lifelong learning.As the ultimate goal of learning science,deep learning crosses the boundary of cognition and integrates the elements of The Times.It emphasizes the understanding and transfer of knowledge,the reflection,the criticism of thinking,and the interactive communication and cooperation.With the development of science and technology as well as the advancement of economic globalization,the online learning community brings the advantages of information technology into practice.Moreover,it shortens the relationship between learners and society,promotes the sharing of high-quality resources,which becomes the method of information-based innovative learning and lifelong learning.The study of online learning community has received continuous attention from scholars at home and abroad.At the same time,some achievements have been made.However,there are still some problems,such as lack of high-level cognition or independent learning ability in the current community.And the same difficulty happens because of the weak interactive collaboration in learning.This study takes deep learning as the orientation,explores the representation forms of deep learning in the online learning community.This paper proposes corresponding strategies,establishes the online learning community to carry out learning activities,which enables learners to actively participate in and solve practical problems.It conducts knowledge construction and meaning negotiation through interaction and collaboration,and promotes the occurrence of deep learning.Drawing on domestic and foreign research experience,this study focuses on the promotion of deep learning by online learning communities.The main work includes the following three parts:(1)Relevant theoretical exploration.This paper clarifies the connotation and characteristics of the online learning community and deep learning,summarizes the necessity of the online learning community to deep learning as the goal and the significance.Moreover,by referring to the CoI model and the online learning "five steps" model,the possibility of the online learning community to realize deep learning is demonstrated.Besides,the determination and the standard of the online learning community to achieve deep learning have also been discussed.(2)Establishment of the online learning community model for deep learning.This paper takes the community theoretical model of inquiry as the theoretical framework reference,and the "five-step" model of online learning as the reference of construction process,integrates the connotation and characteristics of real deep learning and online learning community and constructs the theoretical model of the online learning community for deep learning.In addition,this paper discusses the deep learning mechanism of the online learning community from three dimensions,including cognition,behavior,and emotion.It discusses the strategies and methods of the online learning community to carry out learning activities.These discussions comprehensively support community development under the concept of deep learning and effectively improve the reliability of the results of deep learning.(3)Practice and effect analysis.The experiment relies on the WeChat to design an online learning platform based on the course " Instructional SystemDesign".In addition,it takes educational technology undergraduates as the research object to carry out online and offline learning activities.The experiment use questionnaire surveies to test the learning results and the learning process of deep learning.On this basis,the paper deeply analyzes the key factors that influence the online learning community to promote deep learning.The content analysis method and the ROST CM6 tool are used to analyze the quality of interactive content and the emotional state.Result shows that,in the learning process,learners’ deep learning state has reached the expected standard,and the situational support and variant training in the virtual-real combination learning community have the most significant impact on deep learning.In terms of learning results,through the comparative analysis of the learning results,the learners’ knowledge level and thinking level have completed the transformation from shallow learning to deep learning.The proportion of deep interactive content is high,and the overall level of deep learning has reached the expected one.Other experimental results show that in the emotional field,the interaction frequency is higher,the proportion of negative emotions is lower than the medium and positive emotions,and the participation enthusiasm is higher.Based on the course practice on the WeChat platform personally participated by the author,this study constructed the online learning community model and deep learning strategy for deep learning and verified the application effect respectively.The results of this study provide certain guidance for the teaching practice of this course and are applicable to other cases similar to this case,which can assist teachers to optimize the design of network community and the study of deep learning.