Abstract
The aim of this study was to observe, through Educational Data Mining, if the level of access to computer and library resources offered by schools could contribute to the performance of high school students, in the large scale evaluations of SAEB, in the edition 2017 in Brazil. After collecting data and carrying out the entire mining phase, the results, by Random Forest, indicated that the level of access to computers by students and teachers, the access to the internet by students and the offer of broadband internet by the school can contribute for better performance in SAEB assessments. These results can contribute to the development of projects that improve access to these resources throughout the school environment.
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This work was carried out with the support of the Coordination of Improvement of Higher Level Personnel - Brazil (CAPES) - Financing Code 001.
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da Silva, I.V., da Silva, M.T. (2021). Use of Data Mining to Identify the Technological Resources that Contribute to School Performance in Large-Scale Evaluations of Brazilian High School. In: Ahram, T., Taiar, R., Groff, F. (eds) Human Interaction, Emerging Technologies and Future Applications IV. IHIET-AI 2021. Advances in Intelligent Systems and Computing, vol 1378. Springer, Cham. https://doi.org/10.1007/978-3-030-74009-2_80
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