Abstract

MINAN-OLIVOS, Guillermo Segundo; DIOS-CASTILLO, Christian Abraham; CARDOZA-SERNAQUE, Manuel Antonio  and  PULIDO-JOO, Luis Alexander. Web Analytics to develop a Learning Analytics environment and its relationship with academic performance in virtual courses. Innovaciones Educativas [online]. 2021, vol.23, n.spe1, pp.86-94. ISSN 2215-4132.  http://dx.doi.org/10.22458/ie.v23iespecial.3615.

The object of this research was to demonstrate how relevant information can be extracted from Web Analytics to develop a Learning Analytics environment in virtual courses and implement metrics correlated to academic performance. In this sense, the methodology presented a non-experimental research design, with a correlational descriptive scope and a longitudinal data collection. The population was made up of first-cycle students from an asynchronous academic research course and the sample was represented by 59 students. The information collected included data generated by each student in three aspects: visits to pages within the course, participation in course activities (forums, assignments, questionnaires, etc.) and grades. The results showed the following average behavior of the students: 3809 visits per week, 563 visits per day, 143 participations per week and 21 participations per day. When relating the web metrics to academic performance (grades), the following values w ere obtained, corresponding to Spearman's Rho: 0.628 (p <0.00) between visits and grades and 0.638 (p <0.00) between participations and grades. Finally, it could be concluded that metrics based on Web Analytics are a primary source to start the development of an environment associated with Learning Analytics. Likewise, a directly proportional relationship of web metrics with academic performance was shown.

Keywords : distance education; online learning; student assessment; student behavior; web analytics; learning analytics.

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