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Research On MOOC Video Optimization Based On Student Feedback

Posted on:2020-02-08Degree:MasterType:Thesis
Country:ChinaCandidate:Q Y ChangFull Text:PDF
GTID:2427330599454409Subject:Education
Abstract/Summary:PDF Full Text Request
MOOC is a brilliant stroke in the reform of higher education in the world.In recent years,MOOC platforms have risen rapidly and been put into educational practice in European and American countries.China follows the world situation closely,and devotes itself to MOOC practice by building MOOC platforms independently and cooperating with foreign MOOC platforms.MOOC video is the main content of MOOC course,and it is also the most concerned factor for students.Vigorous MOOC needs to develop continuously in the learning process of student,but the current situation of MOOC video is "one developed,permanent used".In the process of using,it fails to achieve optimal development.Firstly,on the basis of reviewing the current research status of MOOC resource optimization and MOOC video research at home and abroad,and drawing on the relevant research results,this paper clarifies the current situation of MOOC video research.At the same time,the attention of MOOC students to MOOC elements was initially investigated.Understanding MOOC videos is an important concern of trainees.,it takes the theories of the post-modern curriculum,curriculum evaluation,the curriculum optimization model is based on the produsage theory.Thirdly,referring to the quality evaluation criteria of online courses and MOOC courses at home and abroad,i try to establish a preliminary evaluation index system with MOOC students as the evaluation subject and MOOC videos as the evaluation object,and use expert evaluation method to revise and improve it.Fourthly,we use this index system to guide questionnaire design and select Teaching Design MOOC of UOOC platform(National Association of Local Universities)Through questionnaires and interviews methods,we found the following problems: The content arrangement of MOOC course needs to be refined and the knowledge structure and content summary in video are absent.The learning objectives are missing and the difficulties are not clear in some videos.The proportion of Arts and Sciences in video cases is unbalanced,which affects knowledge understanding of student.Functions of barrage interaction and arranging videos by number of visits are absent.The performance of teacher lacks attraction in some videos.In view of the above problems,the following optimization strategies are put forward: detailed course content arrangement,presented knowledge structure diagrams and content summaries before and after videos.Making learning objectives clear,explaining key and difficult points.Adjusting the proportion of Arts and Sciences in video cases and increase the number of Arts cases moderately.improving technical support,increasing barrage screen interaction mode,realizing MOOC video access ranking.choosing excellent students to join the course team and enhancing the expressive force of lens of teacher.Finally,according to the above optimization strategy,taking the design and development of multimedia teaching software as an example,this part of MOOC video is optimized and developed: text script and script design for video,re-shooting,editing and uploading.In addition,through the analysis of the assignment performance of student and the questionnaire survey to test the learning effect of the optimized MOOC video,From the perspective of the students,the conclusion is that the optimized MOOC video has higher quality in terms of course content organization and presentation,logical structure of teaching design,and teachers' expressiveness,and has more learning guidance and pertinence.Reflecting on the overall design,process implementation and results of the study,this paper still has some shortcomings in improving the MOOC video evaluation index system and optimizing the video learning effect test,the design and production process of video optimization still needs to be improved.In the future,we can continue to optimize MOOC video continually,and further improve the evaluation index system of MOOC video.We also need to hire specialized course evaluation experts and MOOC production and teaching experts to evaluate the quality of the optimized MOOC video,so that the evaluation results of students,course experts and teaching staff can be mutually verified to ensure the effectiveness of MOOC video teaching quality evaluation.
Keywords/Search Tags:MOOC video, Video evaluation, Curriculum optimization
PDF Full Text Request
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