Search results for " learning."

Active Learning on Trust and Reciprocity for Undergraduates

2019

We propose a teaching activity aimed at promoting social values, such as trust and reciprocity, among undergraduate students in economics and related degrees. We present our pilot experience of what we call RED&ndash

"Let's do this together and see what we can come up with!" : Teachers' Views on Applying Game-based Pedagogy in Meaningful Ways

2015

Game-based pedagogy offers a promising approach to renewing school education and making it more engaging. However, teachers’ ways of using game-based pedagogy have been rather traditional, not making use of its full potential. This paper presents initial findings on the experiences of teachers who participate in a project that aims to promote the meaningful use of game-based pedagogy. The findings suggest that game-based pedagogy could indeed play a key role in changing traditional practices in schools. Game-based approaches can support differentiated instruction, enhance pupils’ motivation and effort, provide new perspectives to assessment, and transform traditional roles in the classroom …

Modular Point-of-Care Breath Analyzer and Shape Taxonomy-Based Machine Learning for Gastric Cancer Detection

2022

Background: Gastric cancer is one of the deadliest malignant diseases, and the non-invasive screening and diagnostics options for it are limited. In this article, we present a multi-modular device for breath analysis coupled with a machine learning approach for the detection of cancer-specific breath from the shapes of sensor response curves (taxonomies of clusters). Methods: We analyzed the breaths of 54 gastric cancer patients and 85 control group participants. The analysis was carried out using a breath analyzer with gold nanoparticle and metal oxide sensors. The response of the sensors was analyzed on the basis of the curve shapes and other features commonly used for comparison. These f…

On data mining applications in mobile networking and network security

2014

“Kun pääsee irti pulpetista, niin kummasti asiat menevät paremmin perille”: teachers' perspectives of effective teaching strategies for students with…

2015

Inklusiivinen opetus on yleistymässä suomalaisissa kouluissa myös vieraan kielen tunneilla. Oppilaiden hyvin erilaiset taitotasot luovat opettajalle haasteen toteuttaa kaikille sopivaa opetusta samassa tilassa. Lisäksi erilaiset oppimisvaikeudet tulisi ottaa huomioon opetusta suunniteltaessa ja toteuttaessa. Tämän tutkimuksen tarkoituksena oli selvittää laadullisen kyselytutkimuksen avulla suomalaisten vieraan kielen opettajien käyttämiä sekä tehokkaaksi kokemia opetusmenetelmiä. Tutkimuksen aineisto koostuu kyselytutkimuksen vastauksista. Kyselyyn vastasi 32 vieraan kielen opettajaa eri puolilta Suomea. Tuloksia verrattiin muutamaan tutkimuskirjallisuudessa yleisesti tehokkaaksi todettuun …

Digital and Interactive Learning and Teaching Methods in Descriptive Geometry

2013

Abstract During the course of “Fundamentals and applications of Science of Representation - Geometric drawing” (held at the Faculty of Engineering at the University of Palermo) we successfully tested the adoption of informatics tools to enhance the comprehension and the critical analysis of complex figures in the geometrical space. The peculiarity in the teaching methodology was the adoption of interactive software products (Cabri Geometre and GeoGebra concerning dynamic and geometrical constructions; the well-known Rhinoceros plug-in, Grasshopper, about generating algorithms; Linceo regarding implementing the graphic display of complex solids in augmented reality). According to our experie…

AUTOMATIC RETINA EXUDATES SEGMENTATION WITHOUT A MANUALLY LABELLED TRAINING SET

2011

International audience; Diabetic macular edema (DME) is a common vision threatening complication of diabetic retinopathy. In a large scale screening environment DME can be assessed by detecting exudates (a type of bright lesions) in fundus images. In this work, two new methods for the detection of exudates are presented. The methods do not require a lesion training set so the need to ground-truth data is avoided with significant time savings and independence from human error. We evaluate our algorithm with a new publicly available dataset from various ethnic groups and levels of DME. Also, we compare our results with two recent exudate segmentation algorithms on the same dataset. In all of …

Classifying DME vs Normal SD-OCT volumes: A review

2016

International audience; This article reviews the current state of automatic classification methodologies to identify Diabetic Macular Edema (DME) versus normal subjects based on Spectral Domain OCT (SD-OCT) data. Addressing this classification problem has valuable interest since early detection and treatment of DME play a major role to prevent eye adverse effects such as blindness. The main contribution of this article is to cover the lack of a public dataset and benchmark suited for classifying DME and normal SD-OCT volumes, providing our own implementation of the most relevant methodologies in the literature. Subsequently, 6 different methods were implemented and evaluated using this comm…

Visual learning in Drosophila: Application on a roving robot and comparisons

2011

Visual learning is an important aspect of fly life. Flies are able to extract visual cues from objects, like colors, vertical and horizontal distributedness, and others, that can be used for learning to associate a meaning to specific features (i.e. a reward or a punishment). Interesting biological experiments show trained stationary flying flies avoiding flying towards specific visual objects, appearing on the surrounding environment. Wild-type flies effectively learn to avoid those objects but this is not the case for the learning mutant rutabaga defective in the cyclic AMP dependent pathway for plasticity. A bio-inspired architecture has been proposed to model the fly behavior and experi…

Social Cognition in Neurodevelopmental Disorders and Epilepsy

2021

Introduction: The purpose of our study was to perform a comparative analysis of social cognition in children and adolescents with epilepsy, autism spectrum disorder (ASD), specific learning disorder (SLD) and in typical development (TD) controls. The secondary aim was to relate social cognition to some clinical and demographic characteristics.Methods: Our work is a transversal observational study. The recruits were 179 children and adolescents aged between 6 and 18 years diagnosed with epilepsy, ASD, or SLD and 32 subjects with TD. All the participants underwent neuropsychological assessment of Emotion Recognition (ER) and Theory of Mind (ToM) skills.Results: All three clinical groups perfo…