TY - JOUR
T1 - Methodological proposal for trajectory analysis. Case study
AU - Illescas-Peña, L.
AU - Peña, M.
AU - Bravo, F.
AU - Larriva, S.
N1 - Publisher Copyright:
© 2018 CEUR-WS. All rights reserved.
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - Academic Performance
KW - Academic Trajectory
KW - Learning Analytics
UR - https://www.scopus.com/pages/publications/85055454794
M3 - Artículo de la conferencia
AN - SCOPUS:85055454794
SN - 1613-0073
VL - 2231
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
T2 - 1st Latin American Workshop on Learning Analytics, LALA 2018
Y2 - 9 July 2018
ER -