Abstract
The growing interest in the application of Big Data-based techniques in problems belonging to the context of Computers in Education stimulated the emergence of research initiatives, gathered under different names: Educational Data Mining, Learning Analytics and, more recently, Academic Analytics. Considering the existence of several common points between these areas and also a certain lack of definition about the boundaries between them, this article intends to contribute to a greater conceptual clarity in this field, when adopting the term Educational Data Science to broadly analyze the main topics covered for the articles of six national and international events dedicated to the subject.
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CITATION STYLE
Silva, L. A., Silveira, I. F., Silva, L., Rodrigues, R., & Ramos, J. L. C. (2017). Ciência de Dados Educacionais: definições e convergências entre as áreas de pesquisa. In Anais dos Workshops do VI Congresso Brasileiro de Informática na Educação (CBIE 2017) (Vol. 1, p. 764). Brazilian Computer Society (Sociedade Brasileira de Computação - SBC). https://doi.org/10.5753/cbie.wcbie.2017.764
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