Homogeneity and Enrichment: Two Metrics for Web Applications Assessment

Earlier studies suggest that educational institutions may further benefit from Learning Management Systems (LMSs) by generating reports regarding courses. That is, with the use of tools focus to assess student's paths into course content. This paper affirms that educational meaningful information can be extracted from LMS student logged data and presents a methodology on how such findings may assist to the development of a reporting tool for educators. In the context of course assessment from student logged data, we introduce a new metric called homogeneity that extends the use of an older one, enrichment. We also propose a new algorithm that tries to qualify course content by classifying the course based on students' course paths interest. We applied our algorithm to Open eClass LMS tracking data of an academic institution and we present the results identified in 12 courses along with interest insights. We leave for future development the creation of an automated tool of our algorithm implemented for the Open eClass platform.