El e-learning no es (necesariamente) autoformación.

El artículo forma parte de un monográfico dedicado a educación y tecnologías

Identificación y valoración de variables vinculadas al uso de las TIC`s como estrategia de enseñanza-aprendizaje en la Universidad Autónoma de Querétaro, México : Especial referencia al blended-learning.

Identificar el grado de desarrollo institucional y profesional acerca de la implantación, proceso y progresión de las Tecnologías de la Información y Comunicación (TIC´s) en las actividades docentes e investigadoras de la Universidad Autónoma de Querétano (México), tratando de conocer las causas que sirvan para impulsar la utilización de las TIC´s en el sistema educativo. El trabajo se desarrolla a través de una investigación descriptiva, correlacional y comparativa-casual. La población sobre la que se centra el estudio son los profesores universitarios de la Universidad del Municipio de Querétano, tomándose como muestra 223 de estos docentes. La técnica, de investigación, que se utiliza es el cuestionario, el cual se hace llegar a la población a través del correo electrónico, siendo por ello denominado cuestionario 'on-line'. El análisis del cuestionario 'on-line' se realiza a través del programa SPSS. Existe una percepción favorable por parte del profesorado sobre la dotación en TIC´s, con un nivel de inquietud y formación profesional bastante satisfactorio, aunque no totalmente suficiente. A su vez, se intuye una importante inquietud por impulsar las actividades vinculadas al desarrollo de la dimensión tecnológica, conscientes de las demandas estudiantiles y de la propia sociedad de la profesión educativa universitaria.

Es posible el e-learning en los estudios de Ingeniería informática?

Resumen basado en el de la publicación

El blended learning como práctica transformadora.

Monográfico con el título: 'Blended learning'. Resumen basado en el de la publicación

La opinión del profesorado y del alumnado sobre el uso de las aulas virtuales en la metodología b-learning

Resumen basado en el de la publicación.

La Aplicación Adobe® Connect T.M. 8 como recurso del b- learning o aprendizaje mixto para asignaturas de grado o en fase de extinción

La utilización de recursos electrónicos como el Adobe® Connect T.M. 8 en un tipo de aprendizaje denominado mixto es de notable importancia práctica y no sólo respecto de la docencia de las asignaturas de Grado, sino también para aquellas otras que se encuentran en proceso de extinción y de las que no se imparte docencia a los alumnos que no las han superado todavía. Más aún si se tiene presente que el B- Learning o aprendizaje mixto hace que el docente no sólo continúe ejerciendo su papel como formador tradicional, sino que también utilice en su proceso el material didáctico que la informática e Internet, en particular, le proporcionan. Convirtiéndose de este modo en tutor on line y formador mediante las clases presenciales

Cross-situational learning of object-word mapping using Neural Modeling Fields

The issue of how children learn the meaning of words is fundamental to developmental psychology. The recent attempts to develop or evolve efficient communication protocols among interacting robots or Virtual agents have brought that issue to a central place in more applied research fields, such as computational linguistics and neural networks, as well. An attractive approach to learning an object-word mapping is the so-called cross-situational learning. This learning scenario is based on the intuitive notion that a learner can determine the meaning of a word by finding something in common across all observed uses of that word. Here we show how the deterministic Neural Modeling Fields (NMF) categorization mechanism can be used by the learner as an efficient algorithm to infer the correct object-word mapping. To achieve that we first reduce the original on-line learning problem to a batch learning problem where the inputs to the NMF mechanism are all possible object-word associations that Could be inferred from the cross-situational learning scenario. Since many of those associations are incorrect, they are considered as clutter or noise and discarded automatically by a clutter detector model included in our NMF implementation. With these two key ingredients - batch learning and clutter detection - the NMF mechanism was capable to infer perfectly the correct object-word mapping. (C) 2009 Elsevier Ltd. All rights reserved.

Leakage Detection And Localization Method Based On A Hybrid Inverse/Direct Modelling Approach Suitable For Handling Multiple-Leak Scenarios

When an accurate hydraulic network model is available, direct modeling techniques are very straightforward and reliable for on-line leakage detection and localization applied to large class of water distribution networks. In general, this type of techniques based on analytical models can be seen as an application of the well-known fault detection and isolation theory for complex industrial systems. Nonetheless, the assumption of single leak scenarios is usually made considering a certain leak size pattern which may not hold in real applications. Upgrading a leak detection and localization method based on a direct modeling approach to handle multiple-leak scenarios can be, on one hand, quite straightforward but, on the other hand, highly computational demanding for large class of water distribution networks given the huge number of potential water loss hotspots. This paper presents a leakage detection and localization method suitable for multiple-leak scenarios and large class of water distribution networks. This method can be seen as an upgrade of the above mentioned method based on a direct modeling approach in which a global search method based on genetic algorithms has been integrated in order to estimate those network water loss hotspots and the size of the leaks. This is an inverse / direct modeling method which tries to take benefit from both approaches: on one hand, the exploration capability of genetic algorithms to estimate network water loss hotspots and the size of the leaks and on the other hand, the straightforwardness and reliability offered by the availability of an accurate hydraulic model to assess those close network areas around the estimated hotspots. The application of the resulting method in a DMA of the Barcelona water distribution network is provided and discussed. The obtained results show that leakage detection and localization under multiple-leak scenarios may be performed efficiently following an easy procedure.

Experience generalization for multi-agent reinforcement learning

On-line learning methods have been applied successfully in multi-agent systems to achieve coordination among agents. Learning in multi-agent systems implies in a non-stationary scenario perceived by the agents, since the behavior of other agents may change as they simultaneously learn how to improve their actions. Non-stationary scenarios can be modeled as Markov Games, which can be solved using the Minimax-Q algorithm a combination of Q-learning (a Reinforcement Learning (RL) algorithm which directly learns an optimal control policy) and the Minimax algorithm. However, finding optimal control policies using any RL algorithm (Q-learning and Minimax-Q included) can be very time consuming. Trying to improve the learning time of Q-learning, we considered the QS-algorithm. in which a single experience can update more than a single action value by using a spreading function. In this paper, we contribute a Minimax-QS algorithm which combines the Minimax-Q algorithm and the QS-algorithm. We conduct a series of empirical evaluation of the algorithm in a simplified simulator of the soccer domain. We show that even using a very simple domain-dependent spreading function, the performance of the learning algorithm can be improved.

A video-based biometric authentication for e-learning web applications

In the last years there was an exponential growth in the offering of Web-enabled distance courses and in the number of enrolments in corporate and higher education using this modality. However, the lack of efficient mechanisms that assures user authentication in this sort of environment, in the system login as well as throughout his session, has been pointed out as a serious deficiency. Some studies have been led about possible biometric applications for web authentication. However, password based authentication still prevails. With the popularization of biometric enabled devices and resultant fall of prices for the collection of biometric traits, biometrics is reconsidered as a secure remote authentication form for web applications. In this work, the face recognition accuracy, captured on-line by a webcam in Internet environment, is investigated, simulating the natural interaction of a person in the context of a distance course environment. Partial results show that this technique can be successfully applied to confirm the presence of users throughout the course attendance in an educational distance course. An efficient client/server architecture is also proposed. © 2009 Springer Berlin Heidelberg.

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Matemática no ensino primário: duas paisagens, uma história, muitas interrogações

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Autenticação biométrica de usuários em sistemas de E-learning baseada em reconhecimento de faces a partir de vídeo

Pós-graduação em Ciência da Computação - IBILCE