Search results for "e learning"

Artificial neural networks for predicting dorsal pressures on the foot surface while walking

2012

In this work, artificial neural networks (ANNs) are proposed to predict the dorsal pressure over the foot surface exerted by the shoe upper while walking. A model that is based on the multilayer perceptron (MLP) is used since it can provide a single equation to model the exerted pressure for all the materials used as shoe uppers. Five different models are produced, one model for each one of the four subjects under study and an overall model for the four subjects. The inputs to the neural model include the characteristics of the material and the positions during a whole step of 14 pressure sensors placed on the foot surface. The goal is to find models with good generalization capabilities, (…

On the Evaluation of Images Complexity: A Fuzzy Approach

2006

The inherently multidimensional problem of evaluating the complexity of an image is of a certain relevance in both computer science and cognitive psychology. Computer scientists usually analyze spatial dimensions, to deal with automatic vision problems, such as feature-extraction. Psychologists seem more interested in the temporal dimension of complexity, to explore attentional models. Is it possible, by merging both approaches, to define an more general index of visual complexity? We have defined a fuzzy mathematical model of visual complexity, using a specific entropy function; results obtained by applying this model to pictorial images have a strong correlation with ones from an experime…

“It’s Practically a Must” : Neoliberal Reasons for Foreign Language Learning

2017

The impact of feature extraction on the performance of a classifier : kNN, Naïve Bayes and C4.5

2005

"The curse of dimensionality" is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and the classification error in high dimensions. In this paper, different feature extraction techniques as means of (1) dimensionality reduction, and (2) constructive induction are analyzed with respect to the performance of a classifier. Three commonly used classifiers are taken for the analysis: kNN, Naïve Bayes and C4.5 decision tree. One of the main goals of this paper is to show the importance of the use of class information in feature extraction for classification and (in)appropriateness of random projection or conventional PCA to feature extraction for …

Improving Nearest Neighbor Based Multi-target Prediction Through Metric Learning

2017

The purpose of this work is to learn specific distance functions to be applied for multi-target regression problems using nearest neighbors. The idea of preserving the order relation between input and output vectors considering their corresponding distances is used along a maximal margin criterion to formulate a specific metric learning problem. Extensive experiments and the corresponding discussion try to put forward the advantages of the proposed algorithm that can be considered as a generalization of previously proposed approaches. Preliminary results suggest that this line of work can lead to very competitive algorithms with convenient properties.

Uno strumento di insegnamento e apprendimento riflessivo nella formazione degli insegnanti al tempo del Covid: lo storytelling digitale

2021

Tra le varie forme narrative, negli ultimi anni si sta diffondendo l’uso del cosiddetto “storytelling digitale”, ovvero uno strumento attraverso il quale lo studente può raccontarsi e ritrovare tutti gli elementi caratterizzanti un’esperienza didattica vissuta. Il contributo si propone l'obiettivo di valutare in termini di soddisfazione e percezione del proprio apprendimento, la ricaduta dell’esperienza narrativa da parte degli studenti universitari che hanno frequentato a distanza nel primo semestre dell’anno accademico 2020-21, il corso di Docimologia previsto al secondo anno (cattedra M-Z) del Corso di Studi in Scienze della Formazione Primaria, attraverso l’impiego dello storytelling di…

The development of reflective learning in the context of health counselling and health promotion during nurse education.

2001

The development of reflective learning in the context of health counselling and health promotion during nurse education Aims and background. The purpose of this follow-up study was to describe the development of reflective learning of 16 student nurses in the context of health counselling and promotion during clinical training of a 3-year nursing education programme in two Finnish polytechnics. The first aim was to analyse the levels of reflectivity in the student nurses’ reflections on their videotaped counselling situations. The second aim was to explore the qualitative features of the reflective health counselling learning process in the context of health promotion. The theoretical backg…

How adolescents navigate Wikipedia to answer questions / ¿Cómo navegan los adolescentes en Wikipedia para contestar preguntas?

2015

AbstractIn one experiment, we explored how high school students use hyperlink relevance cues while they navigate to answer questions from hypertexts. Current evidence has shown that students may navigate by either performing a deep semantic analysis of the relationship between the question and the existing hyperlinks, or by matching words in the question to words in the hyperlink labels. We focused on how students combine both cues during navigation, and how comprehension skills relate to the use of such cues. Our study revealed that 14 year old students (N = 53) selected hyperlinks by relying to a similar degree on both word matching and semantic overlap. Furthermore, when there was a conf…

Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score

2021

The British journal of surgery 108(11), 1274-1292 (2021). doi:10.1093/bjs/znab183

The Relationship Between Teacher Non-Verbal Communication and Student Behavior: A Cross-National Perspective

2020

This paper aims at providing insights on the role of non-verbal communication (NVC) in classroom by examining the relationship between teacher NVC cues and student behavior. Student behavior is considered in terms of perceptions of the match between the teacher and the student self-concept (i.e. self-image congruence), attention, and learning. Hypotheses are tested on a sample of students coming from Spain and Italy. Findings indicate that the student self-concept has the strongest relationship with teacher personal appearance, attention with paralinguistics, and learning with kinesics. Some differences are found in the strength of the examined relationships between Spanish and Italian stud…