Abstract
For university academic management in general, it is always important to clearly know the average time a student needs to complete the credits established in the curriculum. There are several methods to capture academic information and most of them are based on qualification records, access to virtual platforms, assistance, etc. Based on the architecture of learning analysis proposed by the authors, we specifically worked on a methodology that would allow measuring the academic trajectory using variables such as: number of credits per semester, grades, approvals and number of enrollments. Information from a 2013 cohort of two university careers was used as a reference. The result of the methodology allowed graphing the behavior and generating a detailed analysis of the academic trajectory. The methodological proposal can be generalized for other careers provided that the analysis of the results is contextualized to the behavior of the nature of the training area.
| Original language | English |
|---|---|
| Journal | CEUR Workshop Proceedings |
| Volume | 2231 |
| State | Published - 2018 |
| Externally published | Yes |
| Event | 1st Latin American Workshop on Learning Analytics, LALA 2018 - Guayaquil, Ecuador Duration: 9 Jul 2018 → … |
Keywords
- Academic Performance
- Academic Trajectory
- Learning Analytics
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