Search results for "apprentissage."
showing 10 items of 188 documents
Determining Factors and Critical Periods in the Formation of Eating Habits: Results from the Habeat Project
2016
Un article correspondant à cette présentation devrait paraître en 2017 dans Annals of Nutrition and Metabolism.Un article correspondant à cette présentation devrait paraître en 2017 dans Annals of Nutrition and Metabolism.; Eating habits form early during childhood and are likely to track until the beginning of adulthood. Thus, understanding the formation of eating habits is important. In the HabEat* project we focused on the development of preferences for vegetables since they are the less liked foods for children. Based on the analyses of data from different European cohorts, HabEat found that breast milk may facilitate the consumption of vegetables in later childhood. HabEat found some e…
Learning to Eat Vegetables in Early Life: The Role of Timing, Age and Individual Eating Traits
2014
Vegetable intake is generally low among children, who appear to be especially fussy during the pre-school years. Repeated exposure is known to enhance intake of a novel vegetable in early life but individual differences in response to familiarisation have emerged from recent studies. In order to understand the factors which predict different responses to repeated exposure, data from the same experiment conducted in three groups of children from three countries (n = 332) aged 4-38 m (18.9 +/- 9.9 m) were combined and modelled. During the intervention period each child was given between 5 and 10 exposures to a novel vegetable (artichoke puree) in one of three versions (basic, sweet or added e…
Olfactory discrimination ability and brain expression of c-fos, Gir and Glut1 mRNA are altered in n-3 fatty acid-depleted rats
2007
Abstract The long-chain polyunsaturated n − 3 fatty acids ( n − 3 PUFA), particularly docosahexaenoic acid (DHA), are abundantly present in the central nervous system and play an important role in cognitive functions such as learning and memory. We, therefore, investigated the effects of n − 3 PUFA-depletion in rats (F2 generation) on the learning of an olfactory discrimination task, progressively acquired within a four-arm maze, and on the mRNA expression of some candidate genes, i.e., c-fos, Gir and glucose transporter (Glut1), which could reflect the level of cerebral activity. We observed that DHA contents were dramatically decreased in the olfactory bulb, the piriform cortex and the…
Special Issue on Higher education and its clients : institutional responses to changes in demand and in environment
2002
02048
Les acquisitions en mathématiques à l'école primaire : des compétences au centre des apprentissages
2007
07065 - Actes à paraître; National audience; Cette communication met l'accent sur les compétences mies en oeuvre par les élèves à l'école élémentaire dans le domaine des mathématiques. Des analyses longitudinales conduites sur de larges échantillons permettent de mettre en évidence le rôle central de certaines compétences de mathématiques (évaluéesdans les épreuves d'évaluation nationales) dans les processus d'apprentissage et leur évolution au cours des années. Ainsi, les habiletés en calcul mental apparaissent comme des éléments très prédictifs de la réussite ultérieure. En outre, les acquisitions réalisées dans le domaine numérique avant l'entrée au CP sont elles-aussi de bons prédicteur…
La fabrication des artisans : socialisation et processus de médiation dans l'apprentissage de la menuiserie
2012
This doctoral thesis in Communication Sciences offers to rethink the question of transmission of manual trades, in the context of contemporary craft industry in France. We analyse the classical dualism between “manual” and “nonmanual”, and go further with a theoretical approach of intelligence derived from Janet and Jousse. We also base our analysis on the studies about socialization, especially from Dubar, so we can involve a non-determinist model of transmitting manual crafts. In order to recognize the importance of working with materials, tools, in occupational socialization, we propose to look at its sequence as a “process of mediation” and to describe its communication device, inspired…
Depth Attention for Scene Understanding
2022
Deep learning models can nowadays teach a machine to realize a number of tasks, even with better precision than human beings. Among all the modules of an intelligent machine, perception is the most essential part without which all other action modules have difficulties in safely and precisely realizing the target task under complex scenes. Conventional perception systems are based on RGB images which provide rich texture information about the 3D scene. However, the quality of RGB images highly depends on environmental factors, which further influence the performance of deep learning models. Therefore, in this thesis, we aim to improve the performance and robustness of RGB models with comple…
Analyse et fusion d’images multimodales pour la navigation autonome
2021
Robust semantic scene understanding is challenging due to complex object types, as well as environmental changes caused by varying illumination and weather conditions. This thesis studies the problem of deep semantic segmentation with multimodal image inputs. Multimodal images captured from various sensory modalities provide complementary information for complete scene understanding. We provided effective solutions for fully-supervised multimodal image segmentation and few-shot semantic segmentation of the outdoor road scene. Regarding the former case, we proposed a multi-level fusion network to integrate RGB and polarimetric images. A central fusion framework was also introduced to adaptiv…
Deep learning architectures for automatic detection of viable myocardiac segments
2021
Thesis abstract: Deep learning architectures for automatic detection of viable myocardiac segmentsAccurate myocardial segmentation in LGE-MRI is an important purpose for diagnosis assistance of infarcted patients. Nevertheless, manual delineation of target volumes is time-consuming and depends on intra- and inter-observer variability. This thesis aims at developing efficient deep learning-based methods for automatically segmenting myocardial tissues (healthy myocardium, myocardial infarction, and microvascular obstruction) on LGE-MRI. In this regard, we first proposed a 2.5D SegU-Net model based on a fusion framework (U-Net and SegNet) to learn different feature representations adaptively. …
Réapprendre à lire : de la querelle des méthodes à l'action pédagogique
2015
National audience; La controverse récurrente autour de l'usage des méthodes « globale » ou « syllabique » dans l'apprentissage de la lecture dissimule des choix pédagogiques plus profonds, qui ont durablement compromis la démocratisation de l'un des savoirs premiers les plus déterminants pour la réussite scolaire ultérieure. Ce livre montre comment, au nom d'une conception savante et idéalisée de la « vraie lecture », les aspects pratiques et techniques de cet apprentissage fondamental ont progressivement été déniés et délégitimés. Il décrit la manière dont les enseignants ont été dépossédés de leur savoir pédagogique et ont peu à peu tendu à reporter sur les enfants eux-mêmes et leur milie…