The methodology “b-learning” is a new teaching scenario and it requires the creation, adaptation and application of new learning tools searching the assimilation of new collaborative competences. In this context, it is well known the knowledge spirals, the situational leadership…

Proficiency and habits in body culture cannot be disregarded when drawing up integrated cultural competences that meet the challenges of the 21st century. This is all the more true if we aim to define the key competences of the cultural…

Descripción completa.

2008

Currently, the Instituto Costarricense de Electricidad (ICE) offers
a range of customized solutions for enterprise customers-level
Information Technology (IT), and its main drawback response
time for delivery of these. Having strategic alliances collaborate
in resolving the situation.
This research is…

O conhecimento sobre a resposta das forrageiras aos distúrbios antrópicos e naturais é fundamental para auxiliar os tomadores de decisão na avaliação da condição de conservação e tendência das pastagens nativas ou no desenvolvimento de estratégias adequadas de manejo adaptativas.…

Research on self-regulated learning (SRL) in hypermedia-learning environments is a growing area of interest. One major issue is the role of prior knowledge, which can influence how students interact with hypermedia-learning systems in terms of their use of SRL strategies.…

Background: Dance is a modality of choice in rehabilitation, because it combines the benefits of aerobic exercise with an enjoyable social activity. Despite the scientific evidence supporting the use of dance in rehabilitation, this treatment modality is rarely used in…

A large number of deaf/hard-of-hearing (hh) students never attain grade-appropriate reading comprehension levels. Studies, primarily with North American and European countries, have established that the median reading comprehension level achieved at graduation is grade 4. The present study sought to…

Reinforcement learning covers a broad category of control problems in which the learning agent interacts with the environment in order to learn to maximize the collected utility. Such exploratory interaction is often costly, encouraging sample-efficient algorithms to be used in…