Search results for "learning"
showing 10 items of 6669 documents
Contributions and applications around low resource deep learning modeling
2023
El aprendizaje profundo representa la vanguardia del aprendizaje automático en multitud de aplicaciones. Muchas de estas tareas requieren una gran cantidad de recursos computacionales, lo que limita su adopción en dispositivos integrados. El objetivo principal de esta tesis es estudiar métodos y algoritmos que permiten abordar problemas utilizando aprendizaje profundo con bajos recursos computacionales. Este trabajo también tiene como objetivo presentar aplicaciones de aprendizaje profundo en la industria. La primera contribución es una nueva función de activación para redes de aprendizaje profundo: la función de módulo. Los experimentos muestran que la función de activación propuesta logra…
ADOLESCENTES, REDES SOCIALES Y APRENDIZAJE DIGITAL. UN ESTUDIO DE CASO
2015
Introducción. La difusión de las TIC ha permitido el desarrollo y propagación de herramientas con las que las nuevas generaciones han adquirido habilidades digitales cada vez más refinadas, permitiéndolas acudir a la escuela con una serie de capacidades previas. Aun así, actualmente, se cuestiona este supuesto (Jenkins, 2013) y, por ello, hemos analizado la posible brecha digital existente entre los nativos digitales y aquellos que no lo son, partiendo de la nueva reconsideración de Prensky (2012). Método. Retrotrayéndonos a las teorías de Prensky (2001; 2012), quisimos comprobar (con un estudio de caso), si se sustentaba la teoría de la ―sabiduría digital‖ (2012), o contrariamente, lo hací…
Professional mathematics teacher identity: analysis of reflective narratives from discourses and activities
2012
Published verson of an article in the journal: Journal of Mathematics Teacher Education. Also available from the publisher at: http://dx.doi.org/10.1007/s10857-012-9216-1 This article focuses on the methodological use of reflective narratives from discourses and activities of an experienced primary teacher as evidence of her professional identity. The teacher’s reflective narratives emerge from her participation in a 3-year developmental and research project, Learning Communities in Mathematics, conducted at the University of Agder (UiA) in Norway. As background for our study, we firstly present the teacher in action with her sixth-grade pupils in a mathematics lesson, and then analyse sele…
Students’ Experiences of Reflective Writing as a Tool for Learning in Physiotherapy Education
2015
The purpose of this study was to examine physiotherapy students’ experiences of reflective writing. The students (n = 32) were asked to video record their practical activities at school and at workplaces, and to write reflective journals on their experiences. The research data about students’ experiences of reflective writing were collected by interviewing the students. The data were analyzed phenomenographically. The findings revealed four qualitatively different experiences of reflective writing: 1) writing as a useless task; 2) writing as a tool for deepening understanding; 3) writing as a tool for self-reflection; and 4) writing as a tool for professional development. These categories d…
Riflettere per formare cittadini riflessivi: specificità della formazione dei formatori
2017
The article deals with the theme of reflexivity in learning processes, considering reflexivity as a thinking activity about our own actions and about ourselves in relation with our own actions. In particular, it focuses on the training of trainers and educators, analyzing the specificity and the importance of “learning by experience” not only in initial training, but also during the in-Service training and during working practices. In this sense the article also tackles the theme of “situated learning” (specifying the meaning of “context” in an ecological and systemic perspective) and the concept of “community of practices”. Consequently, the working group and its relevant function in the e…
Relationship between management Control and Organizational learning: An exploratory Study
2019
International audience; Cet article traite la question de la relation du contrôle de gestion et de l’apprentissage organisationnel. La méthodologie de recherche mobilisée, basée sur une approche qualitative, est fondée sur une étude de cas de la filiale d’une multinationale industrielle. Les résultats obtenus ont d’abord montré l’exisitance d’une relation en double sens entre le contrôle de gestion et l’apprentissage organisationnel. En plus de sa mission traditionnelle de régulation, l’usage interactif du système de contrôle de gestion favorise le développement des configurations de l’apprentissage en double boucle qui permet de questionner la pertinence et la validité de la stratégie ains…
Validating Habitual and Goal-Directed Decision-Making Performance Online in Healthy Older Adults
2021
Everyday decision-making is supported by a dual-system of control comprised of parallel goal-directed and habitual systems. Over the past decade, the two-stage Markov decision task has become popularized for its ability to dissociate between goal-directed and habitual decision-making. While a handful of studies have implemented decision-making tasks online, only one study has validated the task by comparing in-person and web-based performance on the two-stage task in children and young adults. To date, no study has validated the dissociation of goal-directed and habitual behaviors in older adults online. Here, we implemented and validated a web-based version of the two-stage Markov task usi…
Editorial: On the Nature and Scope of Habits and Model-Free Control
2021
Reinforcement learning in a multi-agent framework for pedestrian simulation
2014
El objetivo de la tesis consiste en la utilización de Aprendizaje por refuerzo (Reinforcement Learning) para generar simulaciones plausibles de peatones en diferentes entornos. Metodología Se ha desarrollado un marco de trabajo multi-agente donde cada agente virtual que aprende un comportamiento de navegación por interacción con el mundo virtual en el que se encuentra junto con el resto de agentes. El mundo virtual es simulado con un motor físico (ODE) que está calibrado con parámetros de peatones humanos extraídos de la bibliografía de la materia. El marco de trabajo es flexible y permite utilizar diferentes algoritmos de aprendizaje (en concreto Q-Learning y Sarsa(lambda) en combinación c…