A first-language-first multilingual model to meet the quality imperative in formal basic education in three ‘francophone’ West African countries

This paper documents the new trend towards a first-language-first multilingual model in formal education in three former French colonies of West Africa, namely Burkina Faso, Mali and Niger. It compares the sociolinguistic situations, the conditions of the development of multilingual education and the achievements of mother-tongue-medium education in all three countries. The evidence is that, contrary to common discourse in francophonie, a strong first-language-first model in formal education is the best guarantee of a good mastery of French and, more generally, of quality education in francophone countries.     

Three‐year results of the Friendly Schools whole‐of‐school intervention on children's bullying behaviour

A group randomized controlled trial tested the efficacy of the Friendly Schools program to reduce student bullying behaviour. This socio‐ecological intervention targeted the whole school, classroom, family, and individual students to reduce bullying behaviour. Self‐report data were collected in 29 schools over three years from a cohort of 1968 eight to nine‐year‐olds. Surveys measured frequency of being bullied, bullying others, telling if bullied and observing bullying. Results indicate that intervention students were significantly less likely to observe bullying at 12, 24 and 36 months and be bullied after 12 and 36 months, and significantly more likely to tell if bullied after 12 months than comparison students. No differences were found for self‐reported perpetration of bullying. The findings suggest whole‐of‐school programs that engage students in their different social contexts appear to reduce their experiences of being bullied and increase their likelihood of telling someone if they are bullied.     

Differential effects of psychological maltreatment on children of mothers exposed to intimate partner violence

Objective

Psychological maltreatment (PM) is the most prevalent form of child abuse, and is the core component of most of what is considered as child maltreatment. The aim of this work was to explore differential adverse outcomes of the different types of PM in the mental health and functioning of children living in homes in which they are exposed to intimate partner violence (IPV).

Method

Participants were 168 children, aged between 4 and 17, whose mothers experienced IPV. They were assessed using different measures of psychopathology and functioning: Diagnostic Interview for Children and Adolescents-IV, Child Behavior Checklists and Child and Adolescent Functioning Assessment Scale. Furthermore, IPV was assessed with the Schedule for Assessment of Intimate Partner Violence Exposure in Children and the Index of Spouse Abuse. Statistical analyses were carried out with regression models adjusted by means of Generalized Estimating Equations.

Results

Spurning was the PM subtype with the greatest global effect on the children, as it was significantly associated with internalizing and externalizing problems. Denying emotional responsiveness specifically increased the risk of internalizing psychopathology and impairment in the emotional area. Terrorizing was not significantly associated with a greater number of negative outcomes in children's psychopathology or functioning in this population.

Implications

The results suggest the importance of taking PM types into account in order to fully understand the problems of children exposed to IPV at home, and for the design of effective treatment and prevention programs.     

Averages of ratios vs. ratios of averages: An empirical analysis of four levels of aggregation

In the recent debate on the use of averages of ratios (AoR) and ratios of averages (RoA) for the compilation of field-normalized citation rates, little evidence has been provided on the different results obtained by the two methods at various levels of aggregation. This paper provides such an empirical analysis at the level of individual researchers, departments, institutions and countries. Two datasets are used: 147,547 papers published between 2000 and 2008 and assigned to 14,379 Canadian university professors affiliated to 508 departments, and all papers indexed in the Web of Science for the same period (N = 8,221,926) assigned to all countries and institutions. Although there is a strong relationship between the two measures at each of these levels, a pairwise comparison of AoR and RoA shows that the differences between all the distributions are statistically significant and, thus, that the two methods are not equivalent and do not give the same results. Moreover, the difference between both measures is strongly influenced by the number of papers published as well as by their impact scores: the difference between AoR and RoA is greater for departments, institutions and countries with low RoA scores. Finally, our results show that RoA relative impact indicators do not add up to unity (as they should by definition) at the level of the reference dataset, whereas the AoR does have that property.     

Fostering parents-professional collaboration for facilitating the school inclusion of students with ASD: design of the “ToGather” web-based prototype

Educational technology research and development - In recent years, many psycho-educational technologies were studied to address the school-related difficulties encountered by students with autism...     

Differences in Brain Activation Between Novices and Experts in Science During a Task Involving a Common Misconception in Electricity

Science education studies have revealed that students often have misconceptions about how nature works, but what happens to misconceptions after a conceptual change remains poorly understood. Are misconceptions rejected and replaced by scientific conceptions, or are they still present in students' minds, coexisting with newly acquired scientific conceptions? In this study, we use functional magnetic resonance imaging (fMRI) to compare brain activation between novices and experts in science when they evaluate the correctness of simple electric circuits. Results show that experts, more than novices, activate brain areas involved in inhibition when they evaluate electric circuits in which a bulb lights up, even though there is only one wire connecting it to the battery. These findings suggest that experts may still have a misconception encoded in the neural networks of their brains that must be inhibited in order to answer scientifically.     

A tapered channel microfluidic device for comprehensive cell adhesion analysis, using measurements of detachment kinetics and shear stress-dependent motion

We have developed a method for studying cellular adhesion by using a custom-designed microfluidic device with parallel non-connected tapered channels. The design enables investigation of cellular responses to a large range of shear stress (ratio of 25) with a single input flow-rate. For each shear stress, a large number of cells are analyzed (500–1500 cells), providing statistically relevant data within a single experiment. Besides adhesion strength measurements, the microsystem presented in this paper enables in-depth analysis of cell detachment kinetics by real-time videomicroscopy. It offers the possibility to analyze adhesion-associated processes, such as migration or cell shape change, within the same experiment. To show the versatility of our device, we examined quantitatively cell adhesion by analyzing kinetics, adhesive strength and migration behaviour or cell shape modifications of the unicellular model cell organism Dictyostelium discoideum at 21 °C and of the human breast cancer cell line MDA-MB-231 at 37 °C. For both cell types, we found that the threshold stresses, which are necessary to detach the cells, follow lognormal distributions, and that the detachment process follows first order kinetics. In addition, for particular conditions’ cells are found to exhibit similar adhesion threshold stresses, but very different detachment kinetics, revealing the importance of dynamics analysis to fully describe cell adhesion. With its rapid implementation and potential for parallel sample processing, such microsystem offers a highly controllable platform for exploring cell adhesion characteristics in a large set of environmental conditions and cell types, and could have wide applications across cell biology, tissue engineering, and cell screening.     

Δ-distance: A family of dissimilarity metrics between images represented by multi-level feature vectors

This article presents the Δ-distance, a family of distances between images recursively decomposed into segments and represented by multi-level feature vectors. Such a structure is a quad, a quin or a nona-tree resulting from a fixed and arbitrary image partition or from an image segmentation process. It handles positional information of image features (e.g. color, texture or shape). Δ-distance is the generalized form of dissimilarity measures between multi-level feature vectors. Using different weights on tree nodes and different distances between nodes, distances between trees or visual similarity between images can be computed based on the general definition of Δ. In this article, we present three Δ-based distance families: two families of distances between tree structures, called -distance( for Tree) and -distance ( for Segment), and a family of visual distances between images, called ( for Visual). The -distance visually compares two images using their tree representation and the other two distances compare the tree structures resulting from image segmentation. Moreover, we show how existing distances between multi-level feature vectors appear to be particular cases of the Δ-distance