Emilcy Juliana Hernandez

• PhD Student
• Professor at Universidad de Medellín

The analysis of air temperature and relative humidity is fundamental in several areas of knowledge. For example, they define the climate, establish the population’s development in a region, and be indicators of climate change. Cross-correlation and autocorrelation analysis are well-known tools to characterize data series. However, the traditional s...

Even though the field of Learning Analytics (LA) has experienced an expressive growth in the last few years. The vast majority of the works found in literature are usually focusing on experimentation of techniques and methods over datasets restricted to a given discipline, course, or institution and are still few works manipulating region and count...

Workflow networks are derived from Petri networks and are used for the model-ing of systems, processes, and procedures. The objective of this work is to ex-plore the application of workflow networks for the modeling of the phases of the data mining process and to apply it to a particular case for educational data. Given that in the data mining proc...

Student desertion is one of the phenomena that concerns the most to educational institution's directives in the different academic levels. In the particular case of the higher education, such a phenomenon is relevant, to identify the characteristics or factors most relevant that influence the problem, have a high value. This current paper shows the...

Big Data has become a worldwide trend and although still lacks a scientific or academic consensual concept, every day it portends greater market growth that surrounds and the associated research areas. This paper reports a systematic review of the literature on Big Data considering a state of the art about techniques and technologies associated wit...

This article aims to give an approach of a simulation of students with their learning styles which going to receive a learning resources or learning objects (LO) from the teacher and the students simulated it going to change their behavior according to the LO received. The multi-agent system is basing in some rules in order to calculate the best be...

Big Data se ha convertido en una tendencia a nivel mundial y aunque aún no cuenta con un concepto científico o académico consensuado, se augura cada día mayor crecimiento del mercado que lo envuelve y de las áreas de investigación asociadas. En este artículo se reporta una exploración de literatura sobre Big Data, que comprende un estado del arte d...

Se presenta en este artículo el diseño del prototipo de un juego con formato Trading Card Game (TCG) para niños y jóvenes, enfocado a la adquisición de conocimientos sobre algunas de las enfermedades y tratamientos comunes, denominado Priesa, primer escuadrón de salud. Es un juego tipo TCG con tecnología de Realidad Aumentada (RA), donde uno de los...

La Lengua de Señas Colombiana (LSC) aunque ya constituida legalmente desde el año 1996 y reconocida como propia de la comunidad sorda del país mediante el artículo 2 de la Ley 324, ha tenido una historia de poco desarrollo debido primordialmente a la exclusión de su uso para funciones superiores del lenguaje, sobre todo en la educación. Sin embargo...

p>La administración de bodegas de datos o datawarehouse requiere de un procesamiento para garantizar la veracidad, integridad y centralización de los datos cuando existen diversas fuentes de información, haciendo necesario utilizar aplicativos especializados para la Extracción, Transformación y Carga de datos (ETL). Estos aplicativos presentan conf...

Meteorological time series forecasts can help decision-making processes carried out by entities in charge of disaster prevention and early warning generation before the possibility of natural events involving situations which are dangerous for communities. There are a considerable number of methods for these forecasts, ranging from simplistic or Na...

Previous work has shown that the prediction of meteorological conditions through methods based on artificial intelligence can get satisfactory results. Forecasts of meteorological time series can help decision-making processes carried out by organizations responsible of disaster prevention. We introduce an architecture based on Deep Learning for th...

This paper presents the architecture and development of the a pedagogical multi-agent system for Virtual Peer Agents, that support the teaching/learning process. SmartChat is a system of agents that interact with human students and offers help on issues related to a particular course. SmartChat allows communication independent, coordinated, eloquen...