Visual and Statistical Analysis of VideoLectures.NET

author: Erik Novak, Artificial Intelligence Laboratory, Jožef Stefan Institute
published: Nov. 15, 2016,   recorded: October 2016,   views: 1366


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This paper presents learning analytics tools for visual and statistical analysis of data from a portal of video lectures. While learning analytics methods traditionally deal with measurement, collection and analysis of data about learners with an aim of improving the learning process, our solutions are targeted at viewers of VideoLectures.NET. The novel VideoLectures Learning Analytics Dashboard and Lecture Landscape tools allow observing, searching and analyzing viewer behavior and, at the same time, efficiently present the information from the portal to the viewers.

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