Challenges on implementing learning analytics over countrywide K-12 data

Luiz Antonio Macarini, Xavier Ochoa, Cristian Cechinel, Virgínia Rodés, Henrique Lemos Dos Santos, Guillermo Ettlin Alonso, Alén Pérez Casas, Patricia Díaz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publicationProceedings of the 9th International Conference on Learning Analytics and Knowledge
Subtitle of host publicationLearning Analytics to Promote Inclusion and Success, LAK 2019
PublisherAssociation for Computing Machinery
Pages441-445
Number of pages5
ISBN (Electronic)9781450362566
DOIs
StatePublished - Mar 4 2019
Event9th International Conference on Learning Analytics and Knowledge, LAK 2019 - Tempe, United States
Duration: Mar 4 2019Mar 8 2019

Publication series

NameACM International Conference Proceeding Series

Conference

Conference9th International Conference on Learning Analytics and Knowledge, LAK 2019
CountryUnited States
CityTempe
Period3/4/193/8/19

Keywords

  • Academic trajectory
  • Early warning system
  • Educational data mining
  • Learning analytics
  • Primary and secondary education

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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  • Cite this

    Macarini, L. A., Ochoa, X., Cechinel, C., Rodés, V., Dos Santos, H. L., Alonso, G. E., Casas, A. P., & Díaz, P. (2019). Challenges on implementing learning analytics over countrywide K-12 data. In Proceedings of the 9th International Conference on Learning Analytics and Knowledge: Learning Analytics to Promote Inclusion and Success, LAK 2019 (pp. 441-445). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3303772.3303819