Search results for "learning"

showing 10 items of 6669 documents

Design guidelines for flexible and scalable SLPs

2020

The project “European Short Learning Programmes” (E-SLP) aims at developing networked Short Learning Programmes, which answer societal needs and provide flexibility to learners. Within the project SLPs are understood as short-term academic programs situated between singular learning units and more extensive academic programs. They offer academic training for selected topics that are of high relevance to certain target groups or introduce new skills that are highly relevant for primarily lifelong/adult learners in employment (D.2.1 E-SLP). A Short Learning Programme (SLP) is an educational programme with a sequenced set of components (units, modules or other learning building blocks). It is …

short learning programmesverkko-opiskelukoulutussuunnitteluelinikäinen oppiminenkorkeakouluopiskelukoulutusohjelmatkorkeakoulut
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Report on collaborative SLPs and related mobility

2020

This report (D6.2) outlines the work carried in Work Package (WP) 6 of this project E-SLP, where 5 actual SLP pilots were designed, implemented and delivered to students. This report builds on the cooperation model described in D6.1, and the work done in WP2 "Concept and role of SLPs in European HE” and WP3 “Institutional policies for SLP’s”. Furthermore D.6.2 describes the methodology used to design each pilot, detailing its target group, study level, contents and programme characteristics. The lessons learned from these pilots will be detailed in D.6.3 “Models and guidelines for the collaborative development and delivery of SLPs and related mobility”, which add the experience level to rep…

short learning programmesverkko-opiskelukoulutussuunnitteluelinikäinen oppiminenkorkeakouluopiskelukoulutusohjelmatpilotointikorkeakoulut
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Report on models and guidelines for the collaborative design, development and delivery of SLPs

2021

This document refers to deliverable 6.3 on the development of models and guidelines for the collaborative development and delivery of short learning programs and related mobility. Originally started with an introductory document, based on experience and expertise with joint Erasmus Mundus programmes, the Networked Curriculum Project (NETCU) and the work on the EADTU Mobility Matrix, this document builds further on the experience of the pilots in the ESLP project (WP6) and from other work packages, referring in particular to the comprehensive SLP design guidelines that have been developed (WP4). nonPeerReviewed

short learning programmesverkko-opiskelukoulutussuunnittelukansainvälinen yhteistyöelinikäinen oppiminenkorkeakouluopiskelusuosituksetkoulutusohjelmatkorkeakoulutmodulaarisuus
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Emulation of Sun-Induced Fluorescence from Radiance Data Recorded by the HyPlant Airborne Imaging Spectrometer

2021

The retrieval of sun-induced fluorescence (SIF) from hyperspectral radiance data grew to maturity with research activities around the FLuorescence EXplorer satellite mission FLEX, yet full-spectrum estimation methods such as the spectral fitting method (SFM) are computationally expensive. To bypass this computational load, this work aims to approximate the SFM-based SIF retrieval by means of statistical learning, i.e., emulation. While emulators emerged as fast surrogate models of simulators, the accuracy-speedup trade-offs are still to be analyzed when the emulation concept is applied to experimental data. We evaluated the possibility of approximating the SFM-like SIF output directly based…

sif010504 meteorology & atmospheric sciencesprincipal component analysisComputer scienceSciencesun-induced fluorescenceMultispectral image0211 other engineering and technologiesImaging spectrometeremulation02 engineering and technology01 natural sciencesRobustness (computer science)emulation; machine learning; sun-induced fluorescence; sif; spectral fitting method (sfm); principal component analysis021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingEmulationDimensionality reductionQHyperspectral imagingspectral fitting method (sfm)machine learningPrincipal component analysisRadianceGeneral Earth and Planetary Sciencesddc:620Remote Sensing
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Learning to read for the first time as adult immigrants in Finland : Reviewing pertinent research of low-literate or non-literate learners’ literacy …

2018

Against the backdrop of increasing global humanitarian migration to highly literate countries and the resulting necessity and challenge to provide language and literacy education to non-literate or low-literate adult second language (L2) learners, this article calls for more research on a new population of late literacy learners, particularly in Finland. The article begins by outlining the pressing necessity for research on this special group of L2 learners who has traditionally been ignored by Second Language Acquisition (SLA) research. It will then go on to illuminate essential components of developing reading literacy, drawing on relevant previous research on pre-literates. Further, the …

siirtolaisetlate literacysuomi toisena kielenämaahanmuuttajatcomputer-assisted language learningComputingMilieux_COMPUTERSANDEDUCATIONtietokoneavusteinen oppiminenadult learnerReview articlesnon-literatekielen oppiminenComputer-assisted language learning Finnish as a second language Non-literate Late literacy Adult learneraikuisetaikuisopiskelu
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Improving the Use of Simulation in Nursing Education: Protocol for a Realist Review

2020

BackgroundNursing education has evolved in line with societal needs, and simulation-based learning (SBL) is increasingly being used to bridge the gap between practice and education. Previous literature reviews have demonstrated the effectiveness of using SBL in nursing education. However, there is a need to explore how and why it works to expand the theoretical foundation of SBL.ObjectiveThis review aims to understand how, why, and in what circumstances the use of simulation affects learning as part of the bachelor’s program in nursing.MethodsA realist review will be conducted in accordance with the realist template for a systematic review. In particular, we will identify and explore the un…

simulation training020205 medical informaticsmedia_common.quotation_subjectComputer applications to medicine. Medical informaticsR858-859.7Delphi method02 engineering and technologyBachelorOutcome (game theory)03 medical and health sciencesnursingProtocol0202 electrical engineering electronic engineering information engineeringSociologyNurse educationrealist reviewmedia_commonProtocol (science)educationlearning030504 nursingRFoundation (evidence)General MedicineVDP::Medisinske Fag: 700::Helsefag: 800Work (electrical)Data extractionVDP::Medisinske Fag: 700::Helsefag: 800::Sykepleievitenskap: 808MedicineEngineering ethics0305 other medical scienceJMIR Research Protocols
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Revista electrónica de investigación y evaluación educativa

2016

El Programa para la Evaluación Internacional de Alumnos (PISA) proporciona un marco en el que más de 80 países colaboran para construir métricas globales avanzadas para explorar los conocimientos, habilidades y atributos del estudiantado. El diseño de las evaluaciones plantea importantes desafíos conceptuales y técnicos, como el éxito del aprendizaje. Más allá de una base conceptual sólida, PISA necesita cumplir una serie de exigencias a veces contradictorios. Los/as administradores de escuelas, autoridades normativas y los docentes deben ser capaces de utilizar esta información de la evaluación para determinar cómo crear mejores oportunidades para el aprendizaje de los estudiantes. Las eva…

sistema educativoEducaciónmedia_common.quotation_subjectFoundation (evidence)Informe PISACognitionevaluaciónEducationStudent assessmentReading (process)Accountabilityoportunidades educativasComputingMilieux_COMPUTERSANDEDUCATIONMathematics educationConceptual foundationPsicología y educacióncalidad de la educación:PEDAGOGÍA [UNESCO]Student learningUNESCO::PEDAGOGÍAmedia_commonRELIEVE - Revista Electrónica de Investigación y Evaluación Educativa
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Presència virtual de les universitats andaluses

2009

En aquest article exposarem de manera específica les iniciatives portades a terme en les universitats andaluses per fomentar, reforçar i estendre la seva presència virtual a la xarxa. Farem un recorregut pels serveis inculats amb la tecnologia i suport a l'ensenyament, els campus i aules virtuals presents en cadascuna d'aquestes universitats, així com pels esforços realitzats per La xarxa d'Universitats Virtuals Andaluzas per a la creació i desenvolupament del Campus Virtual Andaluz del qual formen part totes les universitats andaluses a través d'una àmplia oferta d'activitats d'ensenyament en línia.

sistema universitario e-learning campus aula virtualtecnologías de la información y la comunicación; educación;tecnologías de la información y la comunicacióneducaciónlcsh:Llcsh:L7-991lcsh:Education (General)MEDIOS AUDIOVISUALESlcsh:Education
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UniPID Virtual Studies : internal evaluation report 2017

2017

sivuainekokonaisuusverkkokurssitsustainable developmentkestävä kehityssivuaineetopetuksen arviointiopintokokonaisuushigher educationkorkea-asteen koulutuseLearningverkko-opetusopinnotarviointistudy program evaluation
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Comparison of Machine Learning Methods in Stochastic Skin Optical Model Inversion

2020

In this study, we compare six different machine learning methods in the inversion of a stochastic model for light propagation in layered media, and use the inverse models to estimate four parameters of the skin from the simulated data: melanin concentration, hemoglobin volume fraction, and thicknesses of epidermis and dermis. The aim of this study is to determine the best methods for stochastic model inversion in order to improve current methods in skin related cancer diagnostics and in the future develop a non-invasive way to measure the physical parameters of the skin based partially on the results of the study. Of the compared methods, which are convolutional neural network, multi-layer …

skinlcsh:TspektrikuvausPhysics::Medical Physicsconvolutional neural networkneuroverkotdiagnostiikkaneural networkslcsh:Technologylcsh:QC1-999model inversionihosyöpälcsh:Chemistrykoneoppiminenkuvantaminenmachine learninglcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040lcsh:Engineering (General). Civil engineering (General)physical parameter retrievallcsh:QH301-705.5lcsh:PhysicsApplied Sciences
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