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  • 标题:Benefits from Analyzing Video Lecture Logs with Leading Business Analytics Tools
  • 本地全文:下载
  • 作者:Linda Alksne ; Anita Jansone ; Zane Bērzkalne
  • 期刊名称:Baltic Journal of Modern Computing
  • 印刷版ISSN:2255-8942
  • 电子版ISSN:2255-8950
  • 出版年度:2019
  • 卷号:7
  • 期号:3
  • 页码:1-12
  • DOI:10.22364/bjmc.2019.7.3.06
  • 出版社:Vilnius University, University of Latvia, Latvia University of Agriculture, Institute of Mathematics and Informatics of University of Latvia
  • 摘要:By investing time and resources in learning analytics, students, faculty, and administrators can improve learning and course outcomes, and develop more engaged and effective teaching and learning techniques. Learning analytics provides feedback to individual students and faculty, but can also surface trends across schools or other scopes of interest. This paper is dedicated to Learning analytics. Authors have analyzed logs from Universitat Politècnica de València video lecture recording and management system. UPV is using The Paella Player which is an Open Source Javascript video player of the Opencast Community. Logs have been analyzed with two different data and analytics reporting tools – Power Bi and Tableau from different point of views. Also the results from two different study years have been compared. Paper includes results from both business analytics tools, conclusions about the tools and also results that can be used for improve and benefit multiple audiences from university.
  • 关键词:business intelligence tools; learning analytics; video lectures;
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