Search results for "APPRENTISSAGE"
showing 10 items of 223 documents
LA GOUVERNANCE MUTUALISTE COMME LEVIER DE CONTROLE
2012
The knowledge governance studies the way the administrators can limit the actions of the leaders otherwise than by disciplinary mechanisms. The study of the strategic process is a means to analyze more finely these mechanisms. The results indicate that the elected representatives participate actively in the definition of the strategy of their territory and it through several complementary control levers. Diagnostic and interactive levers are pointed out.
Etude de la gouvernance d’une association dans un contexte de fusion
2018
International audience; L’objet de ce travail est d’étudier la gouvernance cognitive au sein d’associations qui ont fusionné. Une étude de cas réalisée au sein d’une association d’aide à domicile permet de mettre en lumière les confrontations entre les différents acteurs et le processus d’apprentissage qui nourrit des adaptations dynamiques et innovantes.
Des femmes en blanc : La « fabrication » des infirmières
2018
The purpose of this PhD thesis is to understand how French nurses are groomed. We will focus on their initial training. How does a common educational background manage to produce such different practitioners? Firstly, a socio-historical approach of the emergence of this professional group will enlighten its internal dynamics especially regarding the institutional education. The training is held by senior nurses, who define the specific tasks and duties of nurses.In a second step, starting from a qualitative and localized fieldwork, we will aim at understanding the recruitment and socialization of student nurses. Recruiting obviously begins with the nursing school entrance examination but co…
Digital Storytelling Project as a Way to Engage Students in Twenty-First Century Skills Learning
2020
[EN] This paper is focused on the implications of a collaborative digital storytelling project on student engagement in the higher education context. The empirical study is conducted with an interdisciplinary group of bachelor students in a Nordic University (N = 22) and a university in Southern Europe (N = 21), and the data are collected through an online student survey. The results demonstrate that the digital storytelling project supported students’ behavioral, emotional, and cognitive engagement. In general, the students had positive emotional experiences with the project. This assignment format was found less stressful than a frontal presentation in the classroom, allowing the students…
Deep Convolutional Neural Network Based Object Detection Inference Acceleration Using FPGA
2022
Object detection is one of the most challenging yet essential computer vision research areas. It means labeling and localizing all known objects of interest on an input image using tightly fit rectangular bounding boxes around the objects. Object detection, having passed through several evolutions and progressions, nowadays relies on the successes of image classification networks based on deep convolutional neural networks. However, as the depth and complication of convolutional neural networks increased, detection speed reduced, and accuracy increased. Unfortunately, most computer vision applications, such as real-time object tracking on an embedded system, requires lightweight, fast and a…
Understand and optimize mental strategies during motor learning
2022
Motor imagery-based motor learning, also known as mental practice, can improve motor performance. However, questions remain concerning the mechanisms involved in mental practice, at the neurophysiological and behavioral levels. In a first study, we show an increase of short-interval intracortical inhibition during motor imagery, supporting the hypothesis that motor imagery induces the generation of an inhibited motor command. In a second study, we show modulations in functional connectivity between the cerebellum and the primary motor cortex following a mental practice session, corroborating at the neurophysiological level the hypothesis of the involvement and updating of internal models af…
Jusqu'où peut-on comparer les apprentissages scolaires ?
2007
The pertinent review for the early knowledge learning in school and their links with quality matters is a complex issue, expressly in a comparative approach when crossing the variety on the range for economic development. But the increasingly frequent reference for a universal basic knowledge, in a connection with a claim concerning a global convergence, as a necessity in self determination for everyone to apply for a minimum level in literacy, raises the question whereby the comparative description of the factors of effectiveness of the school. In this note, the objective is only centred on the concerns for a comparison in measurement relating to results of a common school test led to pupi…
EVLANG et la construction des aptitudes
2003
International audience
Apprentissage de modalités auxiliaires pour la localisation basée vision
2018
In this paper we present a new training with side modality framework to enhance image-based localization. In order to learn side modality information, we train a fully convo-lutional decoder network that transfers meaningful information from one modality to another. We validate our approach on a challenging urban dataset. Experiments show that our system is able to enhance a purely image-based system by properly learning appearance of a side modality. Compared to state-of-the-art methods, the proposed network is lighter and faster to train, while producing comparable results.
Technics Amélioration for geo-localization in wsn via smart computing and real time application
2022
New technologies exploiting digital information acquisition by radio frequency techniques are now commonly used in various practical fields. They are most often used to measure a variety of physical variables such as temperature, humidity, speed, etc. and are gathered under the name of Wireless Sensor Networks “WSN”. For this variant of applications, the accurate location of connected sensor nodes remains an important issue for researchers and industrial applications. Indeed, existing localization algorithms can be classified into two categories known as « range-based » and « range-free ». Range-based localization systems are characterized by major drawbacks. The first one is the cost of th…