Artículo

Now showing 1 - 2 of 2

Educational innovation and digital competencies: the case of OER in a private Venezuelan university
(SpringerOpen Journal, 2016-02-25) Prince Machado, Marcella S.; Tenorio Sepúlveda, Gloria C.; Ramírez Montoya, María S.; Tecnologico de Monterrey
The challenge for universities in developing countries of Latin America is to provide quality education and to promote the development of the digital competencies necessary for an active citizenship. Nevertheless, the use of technology and open educational resources (OER) promote greater efficiency and social penetration. The objective of this research is to analyze how the attributes of innovation develop when OER are integrated with learning environments that promote digital skills. Case study and data recollection were applied to the interview, the log, the observation, and the document analysis. Results indicated that a combination of innovation attributes generates a change in: a) educational methodology, b) technological tools and ways to present its contents, and c) the way the teacher thinks and students act. The use of innovative elements allowed subjects to overcome space and time barriers, setting the foundation for the development of blended learning in the institution.
Novel way to investigate evolution of children refractory epilepsy by complexity metrics in massive information
(SpringerOpen Journal, 21/08/2015) Zavala Yoe, Ricardo; Ramírez Mendoza, Ricardo A.; Cordero, Luz M.; Tecnologico de Monterrey
Abstract Epilepsy demands a major burden at global levels. Worldwide, about 1% of people suffer epilepsy and 30% of them (0.3%) are anticonvulsants resistant. Among them, some children epilepsies are peculiarly difficult to deal with as Doose syndrome (DS). Doose syndrome is a very complicated type of children cryptogenic refractory epilepsy (CCRE) which is traditionally studied by analysis of complex electrencephalograms (EEG) by neurologists. CCRE are affections which evolve in a course of many years and customarily, questions such as on which year was the kid healthiest (less seizures) and on which region of the brain (channel) the affection has been progressing more negatively are very difficult or even impossible to answer as a result of the quantity of EEG recorded through the patient’s life. These questions can now be answered by the application of entropies to massive information contained in many EEG. CCRE can not always be cured and have not been investigated from a mathematical viewpoint as far as we are concerned. In this work, a set of 80 time series (distributed equally in four yearly recorded EEG) is studied in order to support pediatrician neurologists to understand better the evolution of this syndrome in the long term. Our contribution is to support multichannel long term analysis of CCRE by observing simple entropy plots instead of studying long rolls of traditional EEG graphs. A comparative analysis among aproximate entropy, sample entropy, our versions of multiscale entropy (MSE) and composite multiscale entropy revealed that our refined MSE was the most convenient complexity measure to describe DS. Additionally, a new entropy parameter is proposed and is referred to as bivariate MSE (BMSE). Such BMSE will provide graphical information in much longer term than MSE.

Artículo

Browse

Filters

Settings

Sort By

Results per page

Search Results