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Big Data Analytics applied to the study of academic performance in a university course
Data Analytics for large volumes of information applied in education can make an important contribution to improvement plans in the areas of planning and evaluation. The following research aimed to apply an EDA (Exploratory Data Analysis) through a multivariate correlation analysis to the grades of a sample of 13,490 UNAD students in a first enrollment course. It was found that the final score of the students is directly proportional in a factor of 99% to the grade obtained in 75% of the course and a factor of 91% directly proportional to Task 3. In contrast, there is no significant correlation between the final and the diagnostic exercise or task 1.
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