Evaluation of online tools as didactic resource in the university education

Recently, many efforts have been made in the academic world to adapt the new degrees to the new European Higher Education Area (EHEA). New technologies have been the most important factor to carry out this adaptation. In particular, the tools 2.0 have been spreading quickly, not just the Web 2.0, but even in all the educational levels. Nevertheless, it is now necessary to evaluate whether all these efforts and all the changes, carried out in order to obtain improved academic performance among students, have provided good results. Therefore, the aim of this paper is focused on studying the impact of the implementation of information and communication technologies (ICTs) in a subject belonging to a Master from the University of Alicante in the academic year (2010-2011). In special, it is an elective course called "Advanced Visual Ergonomics" from the Master of Clinical Optometry and Vision. The methodology used to teach this course differs from the traditional one in many respects. For example, one of the resources used for the development of this course is a blog developed specifically to coordinate a series of virtual works, whose purpose is that the student goes into specific aspects of the current topic. Next, the student participates in an active role by writing a personal assessment on the blog. However, in the course planning, there is an attendance to lessons, where the teacher presents certain issues in a more traditional way, that is, with a lecture supported with audiovisual materials, such as materials generated in powerpoint. To evaluate the quality of the results achieved with this methodology, in this work the personal assessment of the students, who have completed this course during this academic year, are collected. In particular, we want to know their opinion about the used resources, as well as the followed methodology. The tool used to collect this information was a questionnaire. This questionnaire evaluates different aspects of the course: a general opinion, quality of the received information, satisfaction about the followed methodology and the student´s critical awareness. The design of this questionnaire is very important to get conclusive information about the methodology followed in the course. The questionnaire has to have an adequate number of questions; whether it has many questions, it might be boring for the student who would pay no enough attention. The questions should be well-written, with a clear structure and message, to avoid confusion and an ambiguity. The questions should be objectives, without any suggestion for a desired answer. In addition, the questionnaire should be interesting to encourage the student´ s interest. In conclusion, this questionnaire developed for this subject provided good information to evaluate whether the methodology was a useful tool to teach "Advanced Visual Ergonomics". Furthermore, the student´s opinion collected by this questionnaire might be very helpful to improve this didactic resource.

RetinaStudio: A bioinspired framework to encode visual information

The retina is a very complex neural structure, which performs spatial, temporal, and chromatic processing on visual information and converts it into a compact ‘digital’ format composed of neural impulses. This paper presents a new compiler-based framework able to describe, simulate and validate custom retina models. The framework is compatible with the most usual neural recording and analysis tools, taking advantage of the interoperability with these kinds of applications. Furthermore it is possible to compile the code to generate accelerated versions of the visual processing models compatible with COTS microprocessors, FPGAs or GPUs. The whole system represents an ongoing work to design and develop a functional visual neuroprosthesis. Several case studies are described to assess the effectiveness and usefulness of the framework.

ViDRILO: The Visual and Depth Robot Indoor Localization with Objects information dataset

In this article we describe a semantic localization dataset for indoor environments named ViDRILO. The dataset provides five sequences of frames acquired with a mobile robot in two similar office buildings under different lighting conditions. Each frame consists of a point cloud representation of the scene and a perspective image. The frames in the dataset are annotated with the semantic category of the scene, but also with the presence or absence of a list of predefined objects appearing in the scene. In addition to the frames and annotations, the dataset is distributed with a set of tools for its use in both place classification and object recognition tasks. The large number of labeled frames in conjunction with the annotation scheme make this dataset different from existing ones. The ViDRILO dataset is released for use as a benchmark for different problems such as multimodal place classification and object recognition, 3D reconstruction or point cloud data compression.