Open AccessSupporting Decisions Using Educational Data Analysis
Author(s) -
Laura O. Moraes,
Carlos Eduardo Pedreira,
Carla Delgado,
João Pedro Freire
Publication year - 2021
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5753/webmedia_estendido.2021.17622
Subject(s) - computer science , bachelor , key (lock) , online learning , learning environment , multimedia , mathematics education , psychology , computer security , archaeology , history
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.