We provide a novel characterization of augmented balancing weights, also known as automatic debiased machine learning (AutoDML). These popular "doubly robust" or "de-biased machine learning estimators" combine outcome modeling with balancing weights -- weights that achieve covariate balance directly in lieu of estimating and…

Purpose: The purpose of this paper is to assess the research efficiency of the Chilean higher education institutions (HEIs). As it has been argued in the literature, universities in Chile are far from being considered research-oriented institutions. Current governmental reforms have put pressures on the efficient use of public resources,…

Activities involved in the collection and assembling of data for computer processing from the first followup survey of the National Longitudinal Study of the High School Class of 1972 (NLS) are briefly described. Included are an overview of the NLS; the sample design and survey participation; the development of the first followup survey…

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…