TY - GEN
T1 - Mining academic data using visual patterns
AU - Luna, Gilberto Lorenzo Martínez
AU - Olivares-Ceja, Jesús Manuel
AU - Villanueva, Eric Ortega
AU - Arenas, Adolfo Guzmán
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2015/8/25
Y1 - 2015/8/25
N2 - The Mexican Educative System collects thousands of records each year, related with student performance to support academic decisions. In this paper the data analysis, structures and different visual alternatives are used to discover student trajectories and mobility patterns. A model and a software tool have been developed and complemented with available visualization tools to enable visual pattern detection. The development has been tested with samples of data from several Mexican states and the results encourage the proposal to be used as an alternative to discover data patterns following a visual approach. The implementation of the proposal facilitates timely detection of student progress and bottlenecks for the teacher to provide students with supplementary materials and guides focused towards knowledge acquisition, skills and master concepts, techniques, tools management or production and development of innovative ideas.
AB - The Mexican Educative System collects thousands of records each year, related with student performance to support academic decisions. In this paper the data analysis, structures and different visual alternatives are used to discover student trajectories and mobility patterns. A model and a software tool have been developed and complemented with available visualization tools to enable visual pattern detection. The development has been tested with samples of data from several Mexican states and the results encourage the proposal to be used as an alternative to discover data patterns following a visual approach. The implementation of the proposal facilitates timely detection of student progress and bottlenecks for the teacher to provide students with supplementary materials and guides focused towards knowledge acquisition, skills and master concepts, techniques, tools management or production and development of innovative ideas.
KW - Data analysis
KW - Student trajectory and mobility
KW - Visual patterns
UR - http://www.scopus.com/inward/record.url?scp=84951168586&partnerID=8YFLogxK
U2 - 10.1109/MICAI.2014.20
DO - 10.1109/MICAI.2014.20
M3 - Contribución a la conferencia
AN - SCOPUS:84951168586
T3 - Proceedings of Special Session 2014 13th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence, MICAI 2014
SP - 93
EP - 96
BT - Proceedings of Special Session 2014 13th Mexican International Conference on Artificial Intelligence
A2 - Gelbukh, Alexander
A2 - Galicia-Haro, Sofia N.
A2 - Castro Espinoza, Felix
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th Mexican International Conference on Artificial Intelligence, MICAI 2014
Y2 - 16 November 2014 through 22 November 2014
ER -