TY - GEN
T1 - Challenges on implementing learning analytics over countrywide K-12 data
AU - Macarini, Luiz Antonio
AU - Ochoa, Xavier
AU - Cechinel, Cristian
AU - Rodés, Virgínia
AU - Dos Santos, Henrique Lemos
AU - Alonso, Guillermo Ettlin
AU - Casas, Alén Pérez
AU - Díaz, Patricia
N1 - Publisher Copyright:
© 2019 Association for Computing Machinery.
PY - 2019/3/4
Y1 - 2019/3/4
N2 - The present work describes the challenges faced during the development of a countrywide Learning Analytics tool focused on tracking the trajectories of Uruguayan students during their first three years of secondary education. Due to the large-scale of the project, which covers an entire national educational system, several challenges and constraints (both technical and legal) were faced during its conception and development. This paper presents the design decisions and solutions found to address or mitigate the problems found, with the current state of the project. Early results point out the feasibility of finding meaningful patterns in the available data (using data mining techniques) which can be embedded into a prototype for tracking the students scholar trajectory.
AB - The present work describes the challenges faced during the development of a countrywide Learning Analytics tool focused on tracking the trajectories of Uruguayan students during their first three years of secondary education. Due to the large-scale of the project, which covers an entire national educational system, several challenges and constraints (both technical and legal) were faced during its conception and development. This paper presents the design decisions and solutions found to address or mitigate the problems found, with the current state of the project. Early results point out the feasibility of finding meaningful patterns in the available data (using data mining techniques) which can be embedded into a prototype for tracking the students scholar trajectory.
KW - Academic trajectory
KW - Early warning system
KW - Educational data mining
KW - Learning analytics
KW - Primary and secondary education
UR - http://www.scopus.com/inward/record.url?scp=85062779427&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85062779427&partnerID=8YFLogxK
U2 - 10.1145/3303772.3303819
DO - 10.1145/3303772.3303819
M3 - Conference contribution
AN - SCOPUS:85062779427
T3 - ACM International Conference Proceeding Series
SP - 441
EP - 445
BT - Proceedings of the 9th International Conference on Learning Analytics and Knowledge
PB - Association for Computing Machinery
T2 - 9th International Conference on Learning Analytics and Knowledge, LAK 2019
Y2 - 4 March 2019 through 8 March 2019
ER -