Título : Educational data science: Monitoring learning technologies in primary schools
Autor(es): da Silva, Natalia
Fecha de publicación : 15-dic-2022
Tipo de documento: Documento de conferencia
Versión: Publicado
Publicado por : Institute of Mathematical Statistics
Publicado en : https://sites.google.com/view/icsds2022/home
Areas del conocimiento: Ciencias Sociales
Ciencias de la Educación
Líneas de investigación: Monitoreo y evaluación
Temas de investigación: Metodologías innovadoras de monitoreo y evaluación de proyectos y políticas digitales
Palabras clave del autor: Monitoring learning technologies in primary schools
Data science in education problems
Resumen : In recent years, particularly after the COVID-19 pandemic, the use of different learning management systems (LMS) for various objectives has become a key tool for education. A huge volume of student and teacher data are generated by LMS on a daily basis. Transforming these data into relevant information for decision-making and educational public policy is a major challenge due to the complexity of the data structure and the difficulty of summarizing the learning process with registered information. In this work, we combine several computational, statistical, and visualization tools to tackle this challenge with data from primary schools in Uruguay. Plan Ceibal (*) is a universal public policy implemented in Uruguay since 2010, it is part of the global initiative One Laptop per Child (OLPC, 2005). This program consists of providing every student and teacher in kindergarten, primary and middle school with a laptop or tablet and internet access in the school. Plan Ceibal has covered all public schools in the country and it has improved equality of access to technology, as well as ensured internet access in all public schools. This talk is focused on statistical tools for the evaluation and monitoring the use of LMS by students and teachers. We provide indicators of student engagement based on its activity registered by LMS and include these indicators in a web-application designed as a tool that allows monitoring the use of educational platforms in a systematic, standardized, and simple way. This might help to answer questions at different levels of analysis, for different actors in the education system and are key to strengthening both distance and face-to-face education. Daily usage data of CREA (the main LMS of Plan Ceibal) information for teachers and students are available from 2019 to 2021. The data structure, size among others presents a lot of challenges in this project. Most of the challenges are solved using efficient computational tools, for each stage of data analysis. R package data.table is used for data wrangling, Postgres as a SQL engine, and R packages shiny, plotly and ggplot2 are used for interactive visualization development.
URI / Handle: https://hdl.handle.net/20.500.12381/3495
Institución responsable del proyecto: Facultad de Ciencias Económicas y de Administración
Instituto de Estadistica
Universidad de la República
Agencias / Instituciones financiadoras : ANII
Identificador ANII : FSDE_2_2020_1_163528
Nivel de acceso : Acceso abierto
Licencia Creative Commons : Reconocimiento-NoComercial 4.0 Internacional. (CC BY-NC)
Aparece en las colecciones: Fundación Ceibal

Archivos en este ítem:
archivo Descripción Tamaño Formato  
Monitor_ICSDS_22.pdfPresentación realizada en IMS International Conference on Statistics and Data Science 2022, Florencia1.47 MBAdobe PDFDescargar

Las obras en REDI están protegidas por licencias Creative Commons.
Por más información sobre los términos de esta publicación, visita: Reconocimiento-NoComercial 4.0 Internacional. (CC BY-NC)