Search results for "e learning"

Multi-Temporal Image Classification with Kernels

2009

An improved MSD-based method for PD defects classification

2006

The new proposed method of pattern recognition is based on the application of Multi-resolution Signal Decomposition (MSD) technique of wavelet transform. This technique has showed off interesting properties in capturing the embedded horizontal, vertical and diagonal variations within an image obtained from the PD pattern in a separable form. This feature was exploited to identify in the PD pattern's MSD, relative at various family of partial discharge sources, some detail images typical of a single discharge phenomenon. The classification of a generic PD phenomenon is feasible through a comparison between its detail images and the detail images typical of a single discharge phenomenon. Test…

A Support Vector Domain Description Approach to Supervised Classification of Remote Sensing Images

2007

This paper addresses the problem of supervised classification of remote sensing images in the presence of incomplete (nonexhaustive) training sets. The problem is analyzed according to two different perspectives: 1) description and recognition of a specific land-cover class by using single-class classifiers and 2) solution of multiclass problems with single-class classification techniques. In this framework, we analyze different one-class classifiers and introduce in the remote sensing community the support vector domain description method (SVDD). The SVDD is a kernel-based method that exhibits intrinsic regularization ability and robustness versus low numbers of high-dimensional samples. T…

Discrete Learning Control with Application to Hydraulic Actuators

2015

In this paper the robustness of a class of learning control algorithms to state disturbances, output noise, and errors in initial conditions is studied. We present a simple learning algorithm and exhibit, via a concise proof, bounds on the asymptotic trajectory errors for the learned input and the corresponding state and output trajectories. Furthermore, these bounds are continuous functions of the bounds on the initial condition errors, state disturbance, and output noise, and the bounds are zero in the absence of these disturbances.

Multiobjective optimization and decision making in engineering sciences

2021

AbstractReal-world decision making problems in various fields including engineering sciences are becoming ever more challenging to address. The consideration of various competing criteria related to, for example, business, technical, workforce, safety and environmental aspects increases the complexity of decision making and leads to problems that feature multiple competing criteria. A key challenge in such problems is the identification of the most preferred trade-off solution(s) with respect to the competing criteria. Therefore, the effective combination of data, skills, and advanced engineering and management technologies is becoming a key asset to a company urging the need to rethink how…

The Patras blended strategy model for deep and meaningful learning in quality life-long distance education

2019

Life‑long learning is currently being embraced as a central process that could disrupt traditional educational paths. Apparently, the (ideal) type of learning often promoted is deep and meaningful learning, though it is not always required to be so. Deep learning goes beyond superficial knowledge assimilation of unlinked facts; it aims at developing deep disciplinary understanding, transformative knowledge, personal meaning, emotional intelligence, critical thinking, creativity and metacognitive skills. Meaningful learning occurs when learning is active, constructive, intentional, authentic, and cooperative. Technology enhanced teaching and learning methods should prove their potential to t…

Finnish pre-service teachers’ perceptions of their strategic learning skills and collaboration dispositions

2019

To support the development of pupils’ 21st-century skills, teachers themselves must also be competent in these skills and learn them during pre-service teacher education. The aim of this study is to investigate what kind of profiles emerge among Finnish first-year pre-service teachers’ (N = 872) in terms of perceptions of their strategic learning skills and collaboration dispositions and what background variables explain membership of the profiles found. Latent profile analysis showed five student profiles corresponding to perceived strategic learning skills and collaboration dispositions. The most robust factor explaining the membership of the profiles was life satisfaction. Pre-service te…

Students’ accounts of their participation in an intensive long-term learning community

2005

Collaborative learning environments have been analysed extensively, yet we know relatively little about how students experience their participation in long-term learning communities where learners work together over extended periods of time. This study aims to understand pre-service teacher–students’ experiences and accounts of their participation in a university-based long-term learning community. The study investigates issues of change and stability, with respect to the students’ perceptions of participation over the first 2 years of their work within the learning community. The study also addresses the relations between the students’ accounts of participation and their learning experienc…

COLLABORATION BETWEEN CHILDREN, FAMILY AND TEACHERS, IN PROMOTING CHILD’S LEARNING SKILLS

2016

Partnership between teacher and parents forms understanding about mutual communication and the benefits for learning process out of that. Teacher’s observations points to a different understanding on the collaboration with children as a successive process in setting and achieving learning goals. The aim of the article is to reveal how to turn the initiative to involve in preschool learning process expressed by family, into planned engagement in learning process. Daily activities planned by teacher turns parents into educators and involves whole family into initiative fostering project, which strengthens overall partnership between teacher, child and family.

Encouraging blended learning and ICT use at Universitat de València to improve the learning process with the .LRN platform

2007

The Universitat de Valencia, one of the largest, oldest and most varied in Spain, concerned about the efficiency of the learning processes in the context of the convergence process towards the Higher Education European Space, has conducted educative innovation experiences in several degrees, diversifying learning activities.Interested in enhancing traditional classroom learning by use of ICT (with progressive blended learning introduction) has established a learning management system to enhance the learning and communication processes for the whole university. The overall goal was to build skills in ICT use in order to improve learning process quality and student participation.This paper de…