NDLI: Measuring the Usability of Learning Content in a Web Based Learning Management System Course– A Statistical Approach

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Measuring the Usability of Learning Content in a Web Based Learning Management System Course– A Statistical Approach

Content Provider	Semantic Scholar
Author	Panicker, Lakshmi G.
Copyright Year	2015
Abstract	The rise in data consumption has risen drastically. It is an understatement to suggest that users may have difficulty in finding data and are often clueless about how to put these contents to optimal use. A content based system needs to be rated on the utility function of its contents. In this paper the author has made an attempt to determine the best way to calculate the utility function of a learning content using collaborative filtering. The research question was that, is there any significant difference between the average marks of the two groups, if one group was ratings the contents but not provided any recommendations and the other was receiving the recommendations provided by the first group. The second research question was to find if there is a relation between average ratings earned by each content and average number of view earned by it. In the experiment I verified using independent sample t-test that there is a significant difference between the average marks scored by the two groups. I also developed a regression model to predict the average views earned by a learning content based on the ratings earned by it.Using Spearman Rank Correlation Coefficient I verified that there is a relation between average ratings earned by each content and average views earned by it.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://www.ijirset.com/upload/2015/september/107_27_Measuring.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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