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Research On The Design And Application Of The Video Resource Aggregation Model Based On Knowledge Element

Posted on:2017-03-17Degree:MasterType:Thesis
Country:ChinaCandidate:S W FengFull Text:PDF
GTID:2297330488482594Subject:Education Technology
Abstract/Summary:PDF Full Text Request
With the development of information technology, the education application of video resources become increasingly widespread. In order to solve the problems of video resources in education application such as the large and discrete quantity and the low utilization and to fully develop the educational value of video resources,this study has designed a video aggregation model based on knowledge element:“knowledge element—video resource element —video resource node—video resource aggregation network” to make the video resources have a good organizational structure.Taking the course of Chinese Contemporary Literature as the research object,this thesis tries to explore the application of video resources especially the film and television resources in the Chinese Contemporary Literature teaching from the angle of the aggregation based on knowledge element.This study has also carried out the Blending Learning experiment and then inspect the application effect from three aspects:the reading efficiency, the learning attitude and the analysis of course interactivity. Practice has proved that: the depth of the aggregation of the video resources have a significant impact on improving students’ reading efficiency, learning attitude and the classroom course interactivity. The detailed process is as follows:Firstly, by means of the questionnaire and interviews, this thesis has analyzed the problems existing in the Chinese Contemporary Literature teaching: the deficiency of extracurricular reading time, students’ indifference to learning and the lack of course interactivity. O n the basis of the unique advantages of video resources in C hinese Contemporary Literature teaching, the author suggests that making the best of the video resources can improve the reading efficiency, stimulate the interest of study and promote the course interactivity.Secondly, after analyzing the present situation of the educational application of the video resources and their aggregation extent, this study has discovered that the problem of its disperse. Therefore, the author suggests that the concept of “knowledge element" should be led into the construction of the video resources, which consequently contributes to the establishment of the video aggregation model making the video resources structured and aggregate.Thirdly, O n the basis of the multimedia learning and cognition theory, the ubiquitous learning theory and the application of the video resources, this study then designed a Blending Learning model based on aggregation video resources and carried out the Blending Learning experiment.Fourthly, by means of questionnaire survey contrast and analyze the students’ reading efficiency and learning attitude, and combine the analysis of course interactivity, the opinion of teachers and students, then verify and analyze the result of the Blending Learning experiment. Based of the result summarize the achievement and the shortage and investigate reflection and expect them.Finally, the conclusions are as follows:1) The application of the video resources can immensely stimulate students’ learning interest and extend their reading depth and width; 2) The structured aggregate resources can not only increase the efficiency of getting resources but also improve the reading efficiency and extend the approach to the text contents; 3)The resources should combine with the actual course content. The Blending Learning model based on the video resources can enhance the interactivity of the class;4) In the use of the video, the attention should be paid not only to its design but also to its application regularity. By doing this, the education value of video resources can be given a full play.
Keywords/Search Tags:knowledge element, aggregation, video resources, literature, Blending learning
PDF Full Text Request
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