Année : 2019
Lieu de publication de l'article :

Résumé de l'article

The present work describes the challenges faced during the de-velopment of a countrywide Learning Analytics tool focused ontracking the trajectories of Uruguayan students during their firstthree years of secondary education. Due to the large-scale of theproject, which covers an entire national educational system, severalchallenges and constraints (both technical and legal) were facedduring its conception and development. This paper presents thedesign decisions and solutions found to address or mitigate theproblems found, with the current state of the project. Early resultspoint out the feasibility of finding meaningful patterns in the avail-able data (using data mining techniques) which can be embeddedinto a prototype for tracking the students scholar trajectory.CCS CONCEPTS• Applied Computing → Education; • Information SystemsApplications → Data Mining.KEYWORDSAcademic Trajectory, Early Warning System, Primary and Sec-ondary Education, Learning Analytics, Educational Data MiningACM Reference Format:Luiz Antonio Macarini, Cristian Cechinel, Henrique Lemos dos Santos,Xavier Ochoa, Virgínia Rodés, Guillermo Ettlin Alonso, Alén Pérez Casas,and Patricia Díaz. 2019. Challenges on implementing Learning Analyticsover countrywide K-12 data. In The 9th International Learning Analytics &ACMacknowledges that this contributionwas authored or co-authored by an employee,contractor or affiliate of a national government. As such, the Government retains anonexclusive, royalty-free right to publish or reproduce this article, or to allow othersto do so, for Government purposes only.LAK19, March 4–8, 2019, Tempe, AZ, USA© 2019 Association for Computing Machinery.ACM ISBN 978-1-4503-6256-6/19/03. . . $15.00https://doi.org/10.1145/3303772.3303819Knowledge Conference (LAK19), March 4–8, 2019, Tempe, AZ, USA. ACM,New York, NY, USA, 5 pages. https://doi.org/10.1145/3303772.33038191

Mots-clés

Data mining,Constraint (mathematics),Prototype,Embedded system,