Experience applying language processing techniques to develop educational software that allow active learning methodologies by advising students

This paper is focused on those systems that allow students to build their own knowledge by providing them with feedback regarding their actions while performing a problem based learning activity or while making changes to problem statements, so that a higher order thinking skill can be achieved. This feedback is the consequence of an automatic assessment. Particularly, we propose a method that makes use of Language Processor techniques for developing these kinds of systems. This method could be applied in subjects in which problem statements and solutions can be formalized by mean of a formal language and the problems can be solved in an algorithmic way. The method has been used to develop a number of tools that are partially described in this paper. Thus, we show that our approach is applicable in addressing the development of the aforementioned systems. One of these tools (a virtual laboratory for language processing) has been in use for several years in order to support home assignments. The data collected for these years are presented and analyzed in this paper. The results of the analysis confirm that this tool is effective in facilitating the achievement of learning outcomes

Enfoque de diseño de herramientas informáticas educativas para metodologías activas de aprendizaje

En este nuevo trabajo se destaca la importancia del software educativo en las metodologías educativas activas y se presenta una propuesta sobre cómo creemos que debería diseñarse y desarrollarse dicho software, además de analizar cómo se debería integrar en el proceso formativo, considerando los nuevos roles que juegan profesor y estudiante en estas metodologías. Finalmente se mencionan algunos ejemplos indicando cómo estas herramientas se pueden integrar en sistemas de gestión de aprendizaje reales como es el caso particular de CopperCore o DotLRN.SUMMARY -- In this work, we stress the importance of educational software within the context of active educational methodologies and present a proposal thta address the design and development of this educational softwarePeer Reviewe

Enfoque de diseño de herramientas informáticas educativas para metodologías activas de aprendizaje

En este nuevo trabajo se destaca la importancia del software educativo en las metodologías educativas activas y se presenta una propuesta sobre cómo creemos que debería diseñarse y desarrollarse dicho software, además de analizar cómo se debería integrar en el proceso formativo, considerando los nuevos roles que juegan profesor y estudiante en estas metodologías. Finalmente se mencionan algunos ejemplos indicando cómo estas herramientas se pueden integrar en sistemas de gestión de aprendizaje reales como es el caso particular de CopperCore o DotLRN.SUMMARY -- In this work, we stress the importance of educational software within the context of active educational methodologies and present a proposal thta address the design and development of this educational softwarePeer Reviewe

Rehab-Immersive: A framework to support the development of virtual reality applications in upper limb rehabilitation

In this article, we present a framework, called Rehab-Immersive (RI), for the development of virtual reality clinical applications as a complement to the rehabilitation of patients with spinal cord injuries. RI addresses the interaction of patients with virtual worlds, considering upper limb motor impairments. A preconfiguration allows customization for each patient’s specific needs. RI also stores kinematics data, providing clinical staff with a valuable tool to evaluate progress and patient exercise performance. As an example, a virtual version of the Box & Block test is presented

A new method of moving object detection using adaptive filter

[[abstract]]In many real-world video analysis systems , the available resources are constrained, which limits the image resolution. However, the low computational complexity and fast response for low-resolution images still make them attractive for computer vision applications. This work presents a new model that uses a least-mean-square scheme to train the mask operation for low-resolution images. This efficient and real-time method, which uses an adaptive least-mean-square scheme (ALMSS), uses the training mask to detect moving objects on resource-limited systems. The detection of moving objects is a basic and important task in video surveillance systems, which affects the results of any post-processing, such as object classification, object identification and the description of object behaviors. However, the detection of moving objects in a real environment is a difficult task because of noise issues, such as fake motion or noise. The ALMSS method effectively reduces computational cost for both fake motion environment. The experiments using real scenes indicate that the proposed ALMSS method is effective in the real-time detection of moving objects. This method can be implemented in hardware for high-resolution applications, such as full-HD images. A prototype VLSI circuit is designed and simulated using a TSMC 0.18 μm 1P6M process.[[notice]]補正完畢[[incitationindex]]SCI[[booktype]]電子