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The Study On The Promoting Strategies Of College Students' Online Learning Power From The Perspective Of Connectivism

Posted on:2019-01-26Degree:MasterType:Thesis
Country:ChinaCandidate:X Y WangFull Text:PDF
GTID:2347330545479919Subject:Higher Education
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With the deep integration of information technology and education teaching,the learning way of college students is severely impacted by informatization and networking.Online learning has become an important learning trend in the future.At the same time,the development of the era of knowledge economy and the construction of lifelong learning society also put forward higher requirements for the online learning ability of college students.The information technology recombines the learning environment and the learning way of college students,learning is no longer an internalized personal activity,then the learning theories that explain the nature and law of learning behaviors should also be updated.When constructivism,behaviorism and cognitivism are not able to guide online learning better in the traditional learning era,the theory of Connectionism which is born in the age of Internet is the most appropriate to explain online learning.First,this study is based on the definition of learning power and online learning power,arranging and analyzing relevant literature at home and abroad,studying the basic connotation and core viewpoints of Connectionism intensively and presenting the elements of online learning power including cognitive power of online learning,driving force power of online learning and transforming power of online learning.Cognitive power emphasizes that students should be proficient in information technology and apply certain online learning methods,so as to get the information resources they need,and gradually build their own cognitive structure,including students' information literacy,media literacy,the ability of transfer knowledge,and resource management online learning;the driving force power emphasizes the power of activating,promoting and directing on the students' online learning activities,it will be shown as the motivation for online learning including students' demands for line courses' quality,online learning certification system,and students' own needs and motivation for online learning,etc;Transforming power refers to the ability of students to transform the online learning results into actual results,including the students' creative degree of thinking and the ability to transform the practice.Second,by questionnaire,this study aiming to investigate college students' cognition power of online learning,driving force of online learning and transforming power of online learning.After analyzing the results of the survey,there are three main problems in college students' online learning ability.Firstly,college students' ability to recognize the learning resources is low and the cognitive ability is poor.Secondly,college students are lack of motivation for online learning demand and driving force.Thirdly,college students' are lack of practical innovation ability under line and the transformation power is low.From the perspective of Connectivism,there are three main reasons for the analysis of the causes of college students' online learning:(1)the ability to create and increase the capacity of the node is insufficient.(2)the strength of the connection between nodes is weak.(3)the degree of innovation of the optimized learning network is low.Finally,based on the analysis of the problems and the causes of the online learning ability of college students,through Connectivism this study put forward following countermeasures.(1)Creating and adding nodes to improve the online learning cognition constantly.(2)Strengthen learning content and demand to enhance the application of science.(3)Optimizing network,enhancing online learning ability into online learning strategies through technology innovation to improve college students' online learning power.
Keywords/Search Tags:Connectivism, College Student, Online Learning, Online Learning Power
PDF Full Text Request
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