Is the LMS Access Frequency a Sign of

Students’ Success in Face-to-Face Higher

Education?

Celia González Nespereira Information & Computing Laboratory

AtlanTIC Research Center University Of Vigo

Objectives �  Study the relationship between the students’

activity in an e-learning platform and their final marks.

�  Obtain some indicators to predict the students’ behaviour and results.

Dataset �  Data of an e-learning platform based on Moodle of

the University of Vigo. �  Three academic years of a blended subject.

Experiment steps

�  Correlations: �  Number of interactionsßà final mark.

�  Value: 0,33

�  Moodle events ßà final mark. �  Most correlated events à Events related with view or

download contents or class notes.

Experiment steps

�  Clustering:

Clustering Distribution Mean of the final

marks

Group 1: 145 students Group 2: 190 students

Group 1: 5.40 Group 2: 4.23

Experiment steps �  Time Series of number of interactions:

Experiment steps �  Temporal decomposition:

�  Use the trend component as predictor.

Conclusions �  The number of interactions with the e-learning platform

is related to the students’ success.

�  The trend component of the temporal series analysis can be used as a predictor of students’ results.

Further work �  Extend our study to other courses.

�  Develop a system to trigger alarms when students are in risk of fail the subject.

Thank you!