Search results for "e learning"

Quantitative comparison of motion history image variants for video-based depression assessment

2017

Abstract Depression is the most prevalent mood disorder and a leading cause of disability worldwide. Automated video-based analyses may afford objective measures to support clinical judgments. In the present paper, categorical depression assessment is addressed by proposing a novel variant of the Motion History Image (MHI) which considers Gabor-inhibited filtered data instead of the original image. Classification results obtained with this method on the AVEC’14 dataset are compared to those derived using (a) an earlier MHI variant, the Landmark Motion History Image (LMHI), and (b) the original MHI. The different motion representations were tested in several combinations of appearance-based …

BED: A new dataset for EEG-based biometrics

2021

Various recent research works have focused on the use of electroencephalography (EEG) signals in the field of biometrics. However, advances in this area have somehow been limited by the absence of a common testbed that would make it possible to easily compare the performance of different proposals. In this work, we present a data set that has been specifically designed to allow researchers to attempt new biometric approaches that use EEG signals captured by using relatively inexpensive consumer-grade devices. The proposed data set has been made publicly accessible and can be downloaded from https://doi.org/10.5281/zenodo.4309471 . It contains EEG recordings and responses from 21 individuals…

Temperature-induced microstructural changes in shells of laboratory-grown Arctica islandica (Bivalvia).

2021

Bivalve shells are increasingly used as archives for high-resolution paleoclimate analyses. However, there is still an urgent need for quantitative temperature proxies that work without knowledge of the water chemistry–as is required for δ18O-based paleothermometry–and can better withstand diagenetic overprint. Recently, microstructural properties have been identified as a potential candidate fulfilling these requirements. So far, only few different microstructure categories (nacreous, prismatic and crossed-lamellar) of some short-lived species have been studied in detail, and in all such studies, the size and/or shape of individual biomineral units was found to increase with water temperat…

Teachers' instructional scaffolding in an innovative information and communication technology-based history learning environment

2002

Abstract The nature of the role assumed by the teacher is crucial in the promotion of successful learning and collaboration in Information and Communication Technologybased (ICT-based) environments. The aim of this study was to examine how teachers with different conceptions of their teacher roles use different types of instructional scaffolding while working in an innovative learning environment. Our further aim was finding out how instructional scaffolding is related to learning activities of different kinds. The study was carried out at two secondary schools with a shared network-based learning environment. The results showed that teachers with different conceptions of the teacher's role…

Perceived Support in E-Collaborative Learning: An Exploratory Study Which Make Use of Synchronous and Asynchronous Online-Teaching Approaches

2012

This study compares four different learning environments for e-collaborative learning in two European countries related to the dimension of student's mutual support. The theoretical baseline is Vygotsky's zone of proximal development (ZOPD) and the socio-genetic approach of Piaget. The analyzed data are based on questionnaires collected over the time period of an entire semester including four different courses at the master's level. These courses applied different e-collaborative approaches including a variety of tools for supporting communication. It is assumed that these courses including communication tools e.g. virtual face-to-face meetings enhance the chances for better communication,…

Internet-based learning environments for project-enhanced science learning

2002

Exploring the work in the blogosphere: the paradox of collaborative learning

2016

Amb l’objectiu de solucionar diversos problemes que sorgiren en la posada en practica d’una experiencia d’innovacio basada en la creacio d’una blogosfera, es porta a terme una investigacio educativa i qualitativa a partir de la col·laboracio docent i de les opinions de l’alumnat. A mes dels aspectes positius, es detectaren dificultats amb la gestio del treball en equipo i de familiaritzacio amb la ferramenta a les que els propis estudiants proposaren diverses solucions. Abordar aquesta circumstancia de forma col·laborativa i donant veu a l’alumnat ha permes que l’experiencia concloguera exitosament, resultant ser una bona practica educativa.

Constructivism in Science Education: The Need for a Clear Line of Demarcation

2003

Some voices have recently begun to question the constructivist positions, which have been considered the most important contribution of the last decades in science education. It could be thought then, that the“constructivist consensus” might just be a new fashion that would once again lead us back to the immovable reception model of science learning. This questions, at the same time, the idea of an advance in the field of science education towards the construction of a coherent body of knowledge.

New trends in science education

1996

I intend to review the main contributions from the impressive developments made in science education research during the last decade. These developments have made the construction of a coherent body of knowledge possible allowing us to expect a significant improvement in the science teaching/learning process. I shall refer, in particular, to the new trends in science education research, both in the domain of science learning and science teacher‐training.

Processing of rock core microtomography images: Using seven different machine learning algorithms

2016

The abilities of machine learning algorithms to process X-ray microtomographic rock images were determined. The study focused on the use of unsupervised, supervised, and ensemble clustering techniques, to segment X-ray computer microtomography rock images and to estimate the pore spaces and pore size diameters in the rocks. The unsupervised k-means technique gave the fastest processing time and the supervised least squares support vector machine technique gave the slowest processing time. Multiphase assemblages of solid phases (minerals and finely grained minerals) and the pore phase were found on visual inspection of the images. In general, the accuracy in terms of porosity values and pore…