Impact of an LMS Platform: A Study from Data Analytics

In the last decade, Learning Management System (LMS) platforms have increased their presence in higher education, creating a virtual learning environment through digital content management. These valuable tools are able to generate a detailed record of the student’s academic development through analytical techniques as part of a continuous and permanent improvement. The main objective of this study is to analyze, from a quantitative approach, the correspondence between academic performance and the use of the Canvas Network, through Canvas Learning Analytics, as a data collection tool. For interpretation, a multiple linear regression model was used with the Pearson correlation coefficient as the main statistic rate. The sample consisted of forty-four master’s students from the Quality Management course. The data analysis was performed using the Minitab 19 statistical package, which is computer software designed to perform basic and advanced functions in this area. After completing the study, different indicators were obtained using data mining techniques, which can be used to improve the learning process. It was corroborated that the variables “Participation” and “Submissions” have a significant impact on the students’ academic performances (variable “Grades”), while the variable “Web page views” also maintains a positive correlation, only at a lower level.