Supporting Decisions Using Educational Data Analysis

  • Laura O. Moraes UFRJ / Colégio Pedro II
  • Carlos Eduardo Pedreira UFRJ
  • Carla Delgado UFRJ
  • João Pedro Freire UFRJ

Resumo


We present the Machine Teaching, an online learning environment with two main goals: (1) supporting student practicing and exercise marking; and most important, (2) collecting data on students’ knowledge while they progress. Machine teaching was key to bringing programming courses to online learning during the 2020 pandemic, helping educators provide a safe and smooth online practice environment for students and helping them to master programming skills in early stages of their bachelor’s degree studies, a skill that increases the possibilities for immediate job placement. In addition, the educational data collected are mined and used to support short- and long-term pedagogical decision-making, allowing for a quick feedback and enabling material adaptations for the classes offered in the remote mode.

Palavras-chave: educational data mining, computer science education, learning analytics

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Publicado
05/11/2021
MORAES, Laura O.; PEDREIRA, Carlos Eduardo; DELGADO, Carla; FREIRE, João Pedro. Supporting Decisions Using Educational Data Analysis. In: WORKSHOP DE FERRAMENTAS E APLICAÇÕES - SIMPÓSIO BRASILEIRO DE SISTEMAS MULTIMÍDIA E WEB (WEBMEDIA), 27. , 2021, Minas Gerais. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2021 . p. 99-102. ISSN 2596-1683. DOI: https://doi.org/10.5753/webmedia_estendido.2021.17622.