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Direct linkGolino, Hudson F.; Gomes, Cristiano M. A. – International Journal of Research & Method in Education, 2016
This paper presents a non-parametric imputation technique, named random forest, from the machine learning field. The random forest procedure has two main tuning parameters: the number of trees grown in the prediction and the number of predictors used. Fifty experimental conditions were created in the imputation procedure, with different…
Descriptors: Item Response Theory, Regression (Statistics), Difficulty Level, Goodness of Fit
Download full textDuarte, Rosalia; Cazelli, Sibele; Migliora, Rita; Coimbra, Carlos – Education Policy Analysis Archives, 2013
The main purpose of this paper is provide information relevant for the formulation of new policies for the integration of technology in education from the discussion of research results that analyse computer skills and digital media uses among students (between 12 to 18 years old) from schools in the city of Rio de Janeiro, Brazil. The schools…
Descriptors: Computer Literacy, Skill Analysis, Foreign Countries, Mass Media Use
