Methods for Analyzing and Leveraging Online Learning Data is popular PDF and ePub book, written by Hai-Jew, Shalin in 2018-10-05, it is a fantastic choice for those who relish reading online the Education genre. Let's immerse ourselves in this engaging Education book by exploring the summary and details provided below. Remember, Methods for Analyzing and Leveraging Online Learning Data can be Read Online from any device for your convenience.
Methods for Analyzing and Leveraging Online Learning Data Book PDF Summary
While online learning continues to be a rapidly expanding field of research, analyzing data allows educational institutions to fine tune their curriculum and teaching methods. Properly utilizing the data, however, becomes difficult when taking into account how socio-technical systems are used, the administration of those systems, default settings, how data is described and captured, and other factors. Methods for Analyzing and Leveraging Online Learning Data is a pivotal reference source that provides vital research on the application of data in online education for improving a system’s capabilities and optimizing it for teaching and learning. This publication explores data handling, cleaning, analysis, management, and representation, as well as the methods of effectively and ethically applying data research. Tying together education and information science with special attention paid to informal learning, online assessment, and social media, this book is ideally designed for educational administrators, system developers, curriculum designers, data analysts, researchers, instructors, and graduate-level students seeking current research on capturing, analyzing, storing, and sharing data-analytic insights regarding online learning environments.
Detail Book of Methods for Analyzing and Leveraging Online Learning Data PDF
- Author : Hai-Jew, Shalin
- Release : 05 October 2018
- Publisher : IGI Global
- ISBN : 9781522575290
- Genre : Education
- Total Page : 455 pages
- Language : English
- PDF File Size : 10,7 Mb
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