Search results for "apprentissage."
showing 10 items of 188 documents
L'insertion professionnelle des jeunes apprentis en Champagne-Ardenne en 1979
1983
Référence interne : 83006; Dans une première partie, nous nous proposons d'examiner la place relative de l'apprentissage en Champagne-Ardenne et en France, d'une part à travers l'évolution des effectifs sur plusieurs années ; et d'autre part, à travers son importance au sein de la population scolaire et la population active. Une deuxième partie décrit les principales caractéristiques de la population interrogée : de façon à approcher au mieux cette population, nous nous sommes appuyés sur les effectifs en année terminale de formation, aussi souvent que possible. Une troisième partie tente de dégager quelques données relatives à l'insertion professionnelle en 1979.
Mesurer l’efficacité des enseignements par l’étude des rendements
2021
International audience; Le champ des recherches concernant les pratiques enseignantes en étude de la langue demeure peu fertile (on citera entre autres : Bulea Bronckart et al. , 2018 ; Riou, 2017) et supporte peu de généralisations, la portée statistique semblant difficilement atteignable, pour des raisons pragmatiques. Par ailleurs, l’importante recherche Lire – Écrire menée par l’Ifé en 2010-2013 (Goigoux, 2015) a ouvert la voie méthodologique à des études quantitatives dans le domaine de la didactique. C’est dans ce cadre que la recherche REAlang1 s’est donné comme objectif, entre autres, d’évaluer la performance des classes de CE2, CM1 et CM22 concernant des savoirs grammaticaux et ort…
Normes d'apprentissage et "pathologies" de la lecture
2017
International audience
Interrogation des conclusions institutionnelles sur l'apprentissage de la lecture
2016
International audience
Langage et Apprentissage en Interaction pour des Assistants Numériques Autonomes - Une Approche Développementale
2021
The rapid development of digital assistants (DA) opens the way to new modes of interaction. Some DA allows users to personalise the way they respond to queries, in particular by teaching them new procedures. This work proposes to use machine learning methods to enrich the linguistic and procedural generalisation capabilities of these systems. The challenge is to reconcile rapid learning skills, necessary for a smooth user experience, with a sufficiently large generalisation capacity. Though this is a natural human ability, it remains out-of-reach for artificial systems and this leads us to approach these issues from the perspective of developmental Artificial Intelligence. This work is thus…
Comment repérer des compétences clés ?
2010
10004; Calcul, mémoire, attention : quelles compétences développer plus particulièrement en cycle 2, à partir du constat que toutes n'ont pas le même impact quand on observe précisément la suite des parcours scolaires ?
Implicit learning and consciousness: An empirical, philosophical, and computational consensus in the making
2002
International audience; Can you learn without knowing it? This controversial and much debated question forms the basis of this collection of essays as the authors discuss whether the measurable changes in behaviour that result from learning can ever remain entirely unconscious. Three issues central to the topic of implicit learning are raised. Firstly, the extent to which learning can be unconscious, and therefore implicit, is considered. Secondly, theories are developed regarding the nature of knowledge acquired in implicit learning situations. Finally, the idea that there are two separable independent processing systems in the brain, for implicit and explicit learning, is considered.Impli…
Development of handcrafted and deep based methods for face and facial expression recognition
2021
The research objectives of this thesis concern the development of new concepts for image segmentation and region classification for image analysis. This involves implementing new descriptors, whether color, texture, or shape, to characterize regions and propose new deep learning architectures for the various applications linked to facial analysis. We restrict our focus on face recognition and person-independent facial expressions classification tasks, which are more challenging, especially in unconstrained environments. Our thesis lead to the proposal of many contributions related to facial analysis based on handcrafted and deep architecture.We contributed to face recognition by an effectiv…
Artificial intelligence for image-guided prostate brachytherapy procedures
2020
Radiotherapy procedures aim at exposing cancer cells to ionizing radiation. Permanently implanting radioactive sources near to the cancer cells is a typical technique to cure early-stage prostate cancer. It involves image acquisition of the patient, delineating the target volumes and organs at risk on different medical images, treatment planning, image-guided radioactive seed delivery, and post-implant evaluation. Artificial intelligence-based medical image analysis can benefit radiotherapy procedures. It can help to facilitate and improve the efficiency of the procedures by automatically segmenting target organs and extrapolating clinically relevant information. However, manual delineation…
Computer-aided-diagnosis for ocular abnormalities from a single color fundus photography with deep learning
2023
Any damage to the retina can lead to severe consequences like blindness. This visual impairment is preventable by early detection of ocular abnormalities. Computer-aided diagnosis (CAD) for ocular abnormalities is built by analyzing retinal imaging modalities, for instance, Color Fundus Photography (CFP). The main objectives of this thesis are to build two CAD models, one to detect the microaneurysms (MAs), the first visible symptom of diabetic retinopathy, and the other for multi-label detection of 28 ocular abnormalities consisting of frequent and rare abnormalities from a single CFP by using deep learning-based approaches. Two methods were proposed for MAs detection: ensemble-based and c…