Evaluaci??n de competencias de los estudiantes ante la implantaci??n de cr??ditos ECTS : aplicaci??n de las TIC en evaluaci??n de aprendizajes (Computer-Assisted Assesssment)

Se elabora un proyecto piloto encaminado a la armonizaci??n y convergencia de la ense??anza universitaria en el Espacio Europeo de Educaci??n Superior, mediante el dise??o y aplicaci??n de experiencias de innovaci??n en nuevos sistemas de evaluaci??n de competencias mediante la aplicaci??n de las TIC en la evaluaci??n educativa. Se aplica el dise??o experimental en Educaci??n y en Biom??dicas, para comprobar la eficiencia del uso de un software espec??fico para la evaluaci??n formativa frente a otros sistemas tradicionales. El uso de procesos de evaluaci??n a trav??s de la red, se orientan a resaltar la importancia del feed-back y el efecto que ello tiene en el aprendizaje del estudiante. El proyecto se desarrolla en tres fases. La primera, de recogida de informaci??n, selecci??n de las asignaturas de la aplicaci??n de la experiencia y dise??o de la investigaci??n. La segunda fase, de implementaci??n de la experiencia en dos ??reas de Educaci??n y Biom??dicas, y en una tercera fase, de validaci??n emp??rica de la experiencia a trav??s del an??lisis estad??stico de datos recogidos en la fase pre y postest. Se elaboran pruebas diferentes de evaluaci??n espec??ficas para los distintos objetivos y contenidos de las dos ??reas de estudio.

Adaptive computer assisted assessment of free-text students answers : an approach to automatically generate students' conceptual models.

Las formas de evaluación basadas en el uso de tests no pueden identificar muchos errores conceptuales de los estudiantes. Esta investigación tiene como objetivo facilitar un nuevo procedimiento capaz de generar los modelos conceptuales de los estudiantes de forma automática a partir de respuestas en texto libre.. Este trabajo se organiza en tres apartados. En primer lugar, se procede a la revisión del estado de la cuestión. A continuación se describen el procedimiento para generar automáticamente los modelos conceptuales de los estudiantes y los sistemas que implementan dicho procedimiento. Por último se ofrecen: una explicación de los experimentos realizados y sus resultados, las conclusiones obtenidas y las líneas de trabajo futuro. Además se proporciona información para aplicar el procedimiento en otro idioma y/o área de conocimiento.. Se propone un procedimiento para generar automáticamente modelos conceptuales de cada estudiante y de una clase a partir de las respuestas facilitadas al sistema de evaluación automático y adaptativo. Estos sistemas son la evolución de los actuales de evaluación de respuestas en texto libre, que evalúan respuestas en texto libre automáticamente y de forma adaptada al modelo de cada estudiante..

Computer-Assisted Language Learning (CALL) and trilingualism in the Basque Country. 'Aprendizaje de lenguas asistido por ordenador (CALL) y triling????smo en el Pa??s Vasco'

Resumen basado en el de la publicaci??n

Computer assisted instruction for developing speech perception skills in profoundly deaf children

This paper evaluates the usefulness of the "Foundations in Speech Perception" computer program developed by Breakthrough, Inc. in conjunction with Central Institute for the Deaf.

CAMCR: Computer assisted mixture model analysis for capture-recapture count data

Population size estimation with discrete or nonparametric mixture models is considered, and reliable ways of construction of the nonparametric mixture model estimator are reviewed and set into perspective. Construction of the maximum likelihood estimator of the mixing distribution is done for any number of components up to the global nonparametric maximum likelihood bound using the EM algorithm. In addition, the estimators of Chao and Zelterman are considered with some generalisations of Zelterman’s estimator. All computations are done with CAMCR, a special software developed for population size estimation with mixture models. Several examples and data sets are discussed and the estimators illustrated. Problems using the mixture model-based estimators are highlighted.

COMPUTER assisted technologies to enhance CONCURRENce in building DESIGN

Modern organisms are adapted to a wide variety of habitats and lifestyles. The processes of evolution have led to complex, interdependent, well-designed mechanisms of todays world and this research challenge is to transpose these innovative solutions to resolve problems in the context of architectural design practice, e.g., to relate design by nature with design by human. In a design by human environment, design synthesis can be performed with the use of rapid prototyping techniques that will enable to transform almost instantaneously any 2D design representation into a physical three-dimensional model, through a rapid prototyping printer machine. Rapid prototyping processes add layers of material one on top of another until a complete model is built and an analogy can be established with design by nature where the natural lay down of earth layers shapes the earth surface, a natural process occurring repeatedly over long periods of time. Concurrence in design will particularly benefit from rapid prototyping techniques, as the prime purpose of physical prototyping is to promptly assist iterative design, enabling design participants to work with a three-dimensional hardcopy and use it for the validation of their design-ideas. Concurrent design is a systematic approach aiming to facilitate the simultaneous involvment and commitment of all participants in the building design process, enabling both an effective reduction of time and costs at the design phase and a quality improvement of the design product. This paper presents the results of an exploratory survey investigating both how computer-aided design systems help designers to fully define the shape of their design-ideas and the extent of the application of rapid prototyping technologies coupled with Internet facilities by design practice. The findings suggest that design practitioners recognize that these technologies can greatly enhance concurrence in design, though acknowledging a lack of knowledge in relation to the issue of rapid prototyping.

CAMCR: Computer-Assisted Mixture model analysis for Capture–Recapture count data

Population size estimation with discrete or nonparametric mixture models is considered, and reliable ways of construction of the nonparametric mixture model estimator are reviewed and set into perspective. Construction of the maximum likelihood estimator of the mixing distribution is done for any number of components up to the global nonparametric maximum likelihood bound using the EM algorithm. In addition, the estimators of Chao and Zelterman are considered with some generalisations of Zelterman’s estimator. All computations are done with CAMCR, a special software developed for population size estimation with mixture models. Several examples and data sets are discussed and the estimators illustrated. Problems using the mixture model-based estimators are highlighted.

Investigation of AISI 1040 steel corrosion H(2)S solution containing chloride ions by digital image processing coupled with in electrochemical techniques

This paper presents a study of AISI 1040 steel corrosion in aqueous electrolyte of acetic acid buffer containing 3.1 and 31 x 10(-3) mol dm(-3) of Na(2)S in both the presence and absence of 3.5 wt.% NaCl. This investigation of steel corrosion was carried out using potential polarization, and open-circuit and in situ optical microscopy. The morphological analysis and classification of types of surface corrosion damage by digital image processing reveals grain boundary corrosion and shows a non-uniform sulfide film growth, which occurs preferentially over pearlitic grains through successive formation and dissolution of the film. (C) 2011 Elsevier Ltd. All rights reserved.

Computer-Assisted Approach to Structural Elucidation of Lignans

This paper reports an expert system (SISTEMAT) developed for structural determination of diverse chemical classes of natural products, including lignans, based mainly on 13C NMR and 1H NMR data of these compounds. The system is composed of five programs that analyze specific data of a lignan and shows a skeleton probability for the compound. At the end of analyses, the results are grouped, the global probability is computed, and the most probable skeleton is exhibited to the user. SISTEMAT was able to properly predict the skeletons of 80% of the 30 lignans tested, demonstrating its advantage during the structural elucidation course in a short period of time.

Image processing technique to count the number of logs in a timber truck

This paper summarises the results of using image processing technique to get information about the load of timber trucks before their arrival using digital images or geo tagged images. Once the images are captured and sent to sawmill by drivers from forest, we can predict their arrival time using geo tagged coordinates, count the number of (timber) logs piled up in a truck, identify their type and calculate their diameter. With this information we can schedule and prioritise the inflow and unloading of trucks in the light of production schedules and raw material stocks available at the sawmill yard. It is important to keep all the actors in a supply chain integrated coordinated, so that optimal working routines can be reached in the sawmill yard.