ASYTRAIN: a new methodology for teaching and learning antennas

This paper presents ASYTRAIN, a new tool to teach and learn antennas, based on the use of a modular building kit and a low cost portable antenna measurement system that lets the students design and build different types of antennas and observe their characteristics while learning the insights of the subjects. This tool has a methodology guide for try-and-test project development and, makes the students be active antenna engineers instead of passive learners. This experimental learning method arises their motivation during the antenna courses.

Applying Problem-Based Project-Organized Learning in a traditional system

Nowadays, PBL is considered a suitable methodology for engineering education. But making the most of this methodology requires some features, such as multidisciplinary, illstructured teamwork and autonomous research that sometimes are not easy to achieve. In fact, traditional university systems, including curricula, teaching methodologies, assessment and regulation, do not help the implementation of these features. Firstly, we look through the main differences found between a traditional system and the Aalborg model, considered a reference point in PBL. Then, this work is aimed at detecting the main obstacles that a standing traditional system presents to PBL implementation. A multifaceted PBL experience, covering three different disciplines, brings us to analyse these difficulties, order them according to its importance and decide which should be the first changes. Finally, we propose a straightforward introduction of generic competences in the curricula aimed at supporting the use of Problem-Based Project-Organized Learning

New ICT Literacies and Holistic Approaches for the Effective Learning of Languages in Tertiary Education

Abstract: This paper summarizes the evolution of different subjects of English for Specific Purposes and English for Academic and Professional Purposes. The aim here is to show a continuum of changes that have not started and nished in one subject alone but affect the whole curriculum. After the discussion section where advantages and drawbacks of the changes introduced are analyzed, we arrive at some conclusions regarding this ve year period of development in the approach to the teaching and learning of the specific or academic English language in the Escuela Universitaria de Ingeniería Técnica de Telecomunicación, Universidad Politécnica de Madrid. Resumen: Este trabajo resume la evolución que han experimentado distintas asignaturas de Inglés para Fines Especí cos e Inglés para Fines Académicos y Profesionales. El objetivo principal es mostrar cómo el esfuerzo por mejorar las asignaturas afecta al currículo como un todo y no sólo a cada una de las asignaturas. Tras el análisis de algunas de las ventajas e inconvenientes de los cambios introducidos, se alcanzan algunas conclusiones sobre la evolución que han sufrido este tipo de asignaturas durante los últimos cinco años en la Escuela Universitaria de Ingeniería Técnica de Telecomunicación, Universidad Politécnica de Madrid.

Fusion of probabilistic knowledge-based classification rules and learning automata for automatic recognition of digital images

In this paper, the fusion of probabilistic knowledge-based classification rules and learning automata theory is proposed and as a result we present a set of probabilistic classification rules with self-learning capability. The probabilities of the classification rules change dynamically guided by a supervised reinforcement process aimed at obtaining an optimum classification accuracy. This novel classifier is applied to the automatic recognition of digital images corresponding to visual landmarks for the autonomous navigation of an unmanned aerial vehicle (UAV) developed by the authors. The classification accuracy of the proposed classifier and its comparison with well-established pattern recognition methods is finally reported.

Teaching and evaluating mechanical vibrations with Matlab®

The study of the response of mechanical systems to external excitations, even in the simplest cases, involves solving second-order ordinary differential equations or systems thereof. Finding the natural frequencies of a system and understanding the effect of variations of the excitation frequencies on the response of the system are essential when designing mechanisms [1] and structures [2]. However, faced with the mathematical complexity of the problem, students tend to focus on the mathematical resolution rather than on the interpretation of the results. To overcome this difficulty, once the general theoretical problem and its solution through the state space [3] have been presented, Matlab®[4] and Simulink®[5] are used to simulate specific situations. Without them, the discussion of the effect of slight variations in input variables on the outcome of the model becomes burdensome due to the excessive calculation time required. Conversely, with the help of those simulation tools, students can easily reach practical conclusions and their evaluation can be based on their interpretation of results and not on their mathematical skills

University Networking in Developing Countries based on C4D-Learning

In recent years, the establishment of cooperation networks between universities is one of the most important trends in higher education all over the world. Well recognized local and international university networks have been implemented in most educational institutions. It is common to find associations of various prestigious universities collaborating in a high-­‐technology research project including a very specialized teaching as well. This is the most common cooperation networks among higher education institutions in developed countries. An increasingly common type of networking between developed and developing universities is related to cooperation for development. This is the case of many universities in Africa that are needed for external help in order to improve its capabilities. Numerous memorandums of understanding regarding first world institutions that collaborate with universities in developing countries describe contributions of eventual visiting professors, teaching material and courses. But probably there exist another type of more important, but less explored association, such as networking among developing universities. The new goal, in this case, is not only the excellence but also the mutual development.

First steps in the discovery of patterns in the academic results of telecommunication engineering students in the subjects Analysis of Circuits and Mathematics

In this paper, the results of six years of research in engineering education, in the application of the European Higher Education Area (EHEA) to improve the performance of the students in the subject Analysis of Circuits of Telecommunication Engineering, are analysed taking into consideration the fact that there would be hidden variables that both separate students into subgroups and show the connection among several basic subjects such as Analysis of Circuits (AC) and Mathematics (Math). The discovery of these variables would help us to explain the characteristics of the students through the teaching and learning methodology, and would show that there are some characteristics that instructors do not take into account but that are of paramount importance

Markov blanket-based approach for learning multi-dimensional Bayesian network classifiers: An application to predict the European Quality of Life-5 Dimensions (EQ-5D) from the 39-item Parkinson's Disease Questionnaire (PDQ-39)

Multi-dimensional Bayesian network classifiers (MBCs) are probabilistic graphical models recently proposed to deal with multi-dimensional classification problems, where each instance in the data set has to be assigned to more than one class variable. In this paper, we propose a Markov blanket-based approach for learning MBCs from data. Basically, it consists of determining the Markov blanket around each class variable using the HITON algorithm, then specifying the directionality over the MBC subgraphs. Our approach is applied to the prediction problem of the European Quality of Life-5 Dimensions (EQ-5D) from the 39-item Parkinson’s Disease Questionnaire (PDQ-39) in order to estimate the health-related quality of life of Parkinson’s patients. Fivefold cross-validation experiments were carried out on randomly generated synthetic data sets, Yeast data set, as well as on a real-world Parkinson’s disease data set containing 488 patients. The experimental study, including comparison with additional Bayesian network-based approaches, back propagation for multi-label learning, multi-label k-nearest neighbor, multinomial logistic regression, ordinary least squares, and censored least absolute deviations, shows encouraging results in terms of predictive accuracy as well as the identification of dependence relationships among class and feature variables.

Decentralized multi-tasks distribution in heterogeneous robot teams by means of ant colony optimization and learning automata

This paper focuses on the general problem of coordinating multiple robots. More specifically, it addresses the self-election of heterogeneous specialized tasks by autonomous robots. In this paper we focus on a specifically distributed or decentralized approach as we are particularly interested on decentralized solution where the robots themselves autonomously and in an individual manner, are responsible of selecting a particular task so that all the existing tasks are optimally distributed and executed. In this regard, we have established an experimental scenario to solve the corresponding multi-tasks distribution problem and we propose a solution using two different approaches by applying Ant Colony Optimization-based deterministic algorithms as well as Learning Automata-based probabilistic algorithms. We have evaluated the robustness of the algorithm, perturbing the number of pending loads to simulate the robot’s error in estimating the real number of pending tasks and also the dynamic generation of loads through time. The paper ends with a critical discussion of experimental results.

An ICT based Project Management Learning Framework

The objective of this paper is to present a framework that can facilitate the university level learning process in the Project Management of different students who are enrolled in different universities in different locations and attending their own Project Management courses, but running a virtual experience in executing and managing projects. The framework includes both information systems and methodological procedures that are integrated in the information system, making it possible to assess learning performance.

PUE attack detection in CWSN using collaboration and learning behavior

Cognitive Wireless Sensor Network (CWSN) is a new paradigm which integrates cognitive features in traditional Wireless Sensor Networks (WSNs) to mitigate important problems such as spectrum occupancy. Security in Cognitive Wireless Sensor Networks is an important problem because these kinds of networks manage critical applications and data. Moreover, the specific constraints of WSN make the problem even more critical. However, effective solutions have not been implemented yet. Among the specific attacks derived from new cognitive features, the one most studied is the Primary User Emulation (PUE) attack. This paper discusses a new approach, based on anomaly behavior detection and collaboration, to detect the PUE attack in CWSN scenarios. A nonparametric CUSUM algorithm, suitable for low resource networks like CWSN, has been used in this work. The algorithm has been tested using a cognitive simulator that brings important results in this area. For example, the result shows that the number of collaborative nodes is the most important parameter in order to improve the PUE attack detection rates. If the 20% of the nodes collaborates, the PUE detection reaches the 98% with less than 1% of false positives.

Large-scale assessment of language proficiency: theoretical and pedagogical reflections on the use of multiple-choice tests

The new requirement placed on students in tertiary settings in Spain to demonstrate a B1 or a B2 proficiency level of English, in accordance with the Common European Framework of Reference for Languages (CEFRL), has led most Spanish universities to develop a program of certification or accreditation of the required level. The first part of this paper aims to provide a rationale for the type of test that has been developed at the Universidad Politécnica de Madrid for the accreditation of a B2 level, a multiple choice version, and to describe how it was constructed and validated. Then, in the second part of the paper, the results from its application to 924 students enrolled in different degree courses at a variety of schools and faculties at the university are analyzed based on a final test version item analysis. To conclude, some theoretical as well as practical conclusions about testing grammar that affect the teaching and learning process are drawn. RESUMEN. Las nuevas exigencias sobre niveles de competencia B1 y B2 en inglés según el Marco Común Europeo de Referencia para las Lenguas (MCERL) que se imponen sobre los estudiantes de grado y posgrado han llevado a la mayoría de las universidades españolas a desarrollar programas de acreditación o de certificación de estos niveles. La primera parte de este trabajo trata sobre las razones que fundamentan la elección de un tipo concreto de examen para la acreditación del nivel B2 de lengua inglesa en la Universidad Politécnica de Madrid. Se trata de un test de opción múltiple y en esta parte del trabajo se describe cómo fue diseñado y validado. En la segunda parte, se analizan los resultados de la aplicación del test a gran escala a un total de 924 estudiantes matriculados en varias escuelas y Facultades de la Universidad. Para terminar, se apuntan una serie de conclusiones teóricas y prácticas sobre la evaluación de la gramática y de qué modo influye en los procesos de enseñanza y aprendizaje.

Evaluación para el aprendizaje en la asignatura sistemas operativos en modalidad online: un estudio cualitativo basado en la taxonomía de Bloom

La asignatura Sistemas Operativos presenta dificultades para su aprendizaje, pero poco se conoce acerca de las mismas, ya que no han sido determinadas ni estudiadas por la literatura. Asimismo, los trabajos existentes sobre la enseñanza y aprendizaje de Sistemas Operativos se limitan a proponer distintos enfoques para impartir la asignatura y en general no evalúan el aprendizaje de los estudiantes para comprobar la eficacia del método propuesto ni usan metodologías de investigación rigurosas. Por otra parte, la impartición de la asignatura Sistemas Operativos en modalidad online ha sido escasamente estudiada y podría tener dificultades adicionales a las de la modalidad presencial, ya que el contexto online impone una serie de restricciones tanto para el profesor como para el estudiante. En la presente tesis se ha llevado a cabo una evaluación formativa en la asignatura Sistemas Operativos, perteneciente al Grado de Ingeniería Informática de una universidad online. El objetivo inicial de la evaluación era descubrir las dificultades de los estudiantes para la comprensión de los conceptos de la asignatura. Posteriormente y, dada la buena aceptación de la evaluación por parte de los estudiantes, se ampliaron los objetivos del trabajo para explorar los efectos de la evaluación realizada sobre el aprendizaje. La evaluación formativa diseñada está basada en la taxonomía revisada de Bloom y sus principales objetivos son: (a) promover el aprendizaje significativo y (b) hacer a los estudiantes conscientes de su proceso de aprendizaje. La metodología de investigación utilizada es el estudio de caso cualitativo y la muestra está constituida por 9 estudiantes del total de 13 matriculados en la asignatura. Los datos cualitativos analizados proceden de las pruebas de evaluación formativa llevadas a cabo por los estudiantes durante la impartición de la asignatura. Los conceptos de sistemas operativos que han resultado más difíciles de comprender en el curso online estudiado han sido las interrupciones y los semáforos. Además, alrededor de estos conceptos se han identificado las dificultades específicas y sus posibles causas. Las dificultades descubiertas acerca de los semáforos corroboran las investigaciones existentes en el área de programación concurrente. El resto de las dificultades identificadas no habían sido determinadas por la literatura existente. En cuanto a los efectos de la evaluación formativa sobre el aprendizaje, la evidencia empírica muestra que ésta ha provocado en los estudiantes una reflexión profunda sobre los conceptos de la asignatura y sobre su propio proceso de aprendizaje. El estudio de caso presentado puede ayudar a los profesores del área de ingeniería a crear evaluaciones formativas en cursos online. La tesis, por tanto, realiza aportaciones relevantes en las áreas de enseñanza y aprendizaje de sistemas operativos, evaluación formativa, metodologías cualitativas y educación online. ABSTRACT Operating Systems is a difficult subject to learn; however little is known about said difficulties, as they have not been studied nor determined by the relevant literature. Existing studies on teaching and learning the subject of operating systems are limited to presenting different approaches for teaching the subject and generally do not evaluate students’ learning to verify the effectiveness of the proposed methods, nor do they use rigorous research methodologies. On the other hand, there are very few studies on teaching operating systems online, which may inherently present more difficulties than the in-person format, since an online context imposes a series of restrictions on both professors and students, such as not having face-to-face interaction for communications. This thesis studies a formative assessment of the subject of operating systems, as part of the Degree in Information Technology Engineering for an online university. The initial objective of this assessment was to determine the students’ difficulties in conceptual comprehension for this subject. Once students had accepted the assessment, the study’s objectives were expanded to include an investigation of the effects of the assessment on learning. The designed formative assessment was based on Revised Bloom’s Taxonomy with the following main objectives: (a) to promote meaningful learning and (b) (b) to make students aware of their learning process. The research methodology involves a qualitative case study with a sample consisting of 9 of the total 13 students registered for this course. The qualitative data analyzed comes from the formative assessment tests taken by these students during the course. The most difficult operating systems concepts for students in the online course were interrupts and semaphores. Additionally, the specific difficulties and their possible causes have been identified. The students’ comprehension difficulties with semaphores corroborate the existing research in the area of concurrent programming. The other identified difficulties were not discussed in the existing literature. Regarding the effects of the formative assessment on learning, the empirical evidence shows that it causes students to reflect carefully on the subject’s concepts as well as their own learning process. The presented case study can help professors in the area of engineering to create formative assessments for online courses. This thesis, therefore, makes relevant contributions to the areas of teaching and learning operating systems, formative assessment, qualitative methodologies, and online education.