Our purpose in this article is to examine the subjective processes of researchers while becoming conscious during the investigation of infants and toddlers (I/Ts) in educational settings. Based on the intertwining between Cultural-historical Psychology and Ethnography in Education, we followed a group of I/Ts at a Brazilian Early Childhood…

Regression Tree Method is not yet a mainstream method in Education, despite of being a traditional approach in Machine Learning. We advocate that this method should become mainstream in Education, since, in our point of view, it is the most suitable method to analyse complex datasets, very common in Education. This is, for example, the case of…

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…