Predicting language and literacy outcomes of typically-developing and at-risk English-speaking elementary students in French Immersion programs.Many children around the world are educated in a second language, be they speakers of the majority language of the community in which they are educated or ...
The proposed methodology provides a basis for designing governmental strategies that improve those aspects that influence the student’s performance in their progress through elementary education. In this way, achieving equity in the quality of education in the different regions is possible. The rest ...
For example, if the ground truth target was found as the first suggestion in 70 out of 100 examples, it means Top-1 is 70%. While round-trip is the generally preferred method for verifying the performance in the context of single-step retro-synthetic models26, the datasets analyzed in ...
This study investigated the combined predictive validity of intelligence and personality factors on multiple measures of academic achievement. Students in
The methodology for the prediction of sector demand receives three inputs for all flights: the ensembles of probabilistic aircraft trajectories issued by some trajectory predictor; the geometry of the so-called elementary volumes (more information in Section 3.1); and the definition of the sector con...
Ideally, if we can observe both the two outcomesYi(1) andYi(0) for the same patient, then we can simply take the subtraction of them and average across the patients to estimate the causal effect. However, in practice, the counterfactual can never be observed. This is the “missing observ...
none of our AI systems have risen to an even elementary level where one of the many ways in which we use those words about humans apply. When we do, and I tend to think that we will, get to a point where we will start using some of those words about particular AI systems, the pr...
We first used the tiles from the principal pretraining cohort to create an elementary feature extractor (ElEx), which will be the basis for clustering similar tiles and for later transfer learning. We trained a CNN that outputs features consisting of 128 vectors by self-supervised learning (MoCo...
The methodology for the prediction of sector demand receives three inputs for all flights: the ensembles of probabilistic aircraft trajectories issued by some trajectory predictor; the geometry of the so-called elementary volumes (more information in Section 3.1); and the definition of the sector con...
that MultiBoost with MLP outperformed the others by achieving 98.7% accuracy, 98.6% precision, recall, and F-score. The study implies that the proposed model could be useful in identifying the academic performance of secondary level students at an early stage to improve the learning outcomes....