Números Publicados > Volumen y Número

Title- Power electronics disciplines involve different fundamental topics and technologies. The use of the Internet facilitates and supports the transmission of the theoretical concepts of the teacher to the student and improve the sequence of activities within the available time. The main goal of this work is to develop an emulator software tool to facilitate the usage of control loop fundamentals when applied to DC-toDC converters. This emulator is a very solid tool for the educational community, and it allows students to analyze and design control circuits in a very flexible way. This resource is available online without time restrictions, allowing users to choose where and when they can learn and interact with the tool which offers a variety of different DC-DC converters, compensation networks and feedback topologies. Once the selection has been made and the different values of the components have been established, a frequency response analysis is shown. The development of the software tool can be operated using any modern browser under any platform and device. The effectiveness of the presented emulator software tool was assessed with the feedback obtained for the students and the results obtained therefor.

Index Terms- Closed-loop learning, DC-to-DC converters learning, Internet, Semi-presential Learning.

Title- —In this work, we integrate computational techniques based on machine learning (ML) and computational intelligence (CI) to conventional methodologies used in the Operational Research (OR) degree course for Engineers. That synergy between those techniques and methods allows students to deal with decision-making complex problems. The primary goals of this research work are to present potential interactions between the two computational fields and show some examples of them. This is a contribution to engineering education research where we present how ML techniques, such as neural networks, fuzzy logic, and reinforcement learning are integrated through applications in an OR course, being able to increase the approach of more complex problems in a simpler way compared to traditional OR methods. The current paper is a different proposal for OR courses that uses the symbiosis between mathematical models employing computer simulations, CI and different hybrid models.

Index Terms- — operational research, machine learning, optimization, hybrid models.

Title- — Dyslexia is one of the learning disabilities frequently manifested at elementary school, and then teachers require to identify extra educative resources, in particular, educational applications are useful. This work preconizes the educational patterns as best practices to use these kinds of interactive applications. In addition, a simple and an effective procedure is proposed to obtain some educational patterns for dyslexia considering pedagogical as well as technological aspects. the proposed procedure is applied to obtain a classification of educational patterns considering dyslexia in pupils at elementary school. Several educational patterns are specified in detail. Finally, the current proposal is compared versus related work and a case study is presented.

Index Terms- Educational patterns, Dyslexia, Educational applications, Classification, Elementary school.

Title- Higher education students who either do not complete the courses they have enrolled on or interrupt their studies indefinitely remain a major concern for practitioners and researchers. Within each course, early prediction of student dropout helps teachers to intervene in time to reduce dropout rates. Early prediction of course achievement helps teachers suggest new learning materials aimed at preventing atrisk students from failing or not completing the course. Several machine learning techniques have been used to classify or predict at-risk students, including tree-based methods, which, though not the best performers, are easy to interpret. This study presents two procedures for identifying at-risk students (dropout-prone and nonachievers) early on in an online university statistics course. These enable us to understand how classifiers work. We found that student dropout and course performance prediction was only determined by their performance in the first half of the formative quizzes. Nevertheless, other elements of participation on the virtual campus were initially considered. The classifiers will serve as a reference for intervention, despite their moderate performance metrics.

Index Terms- Dropout prediction, performance prediction, decision trees, quiz completion, online university education.

Title- O rápido crescimento da tecnologia da informação levou ao desenvolvimento de uma grande variedade de sistemas computacionais em todo o mundo. Como resultado, o número de instituições de ensino que oferecem cursos em áreas como programação e engenharia de software aumentou. No entanto, os processos tradicionais de desenvolvimento de software não acompanharam as mudanças nas tecnologias. Nos últimos anos, o desenvolvimento de software tornou-se mais dinâmico e iterativo, exigindo que as partes interessadas trabalhassem em equipes e entregassem projetos de maior qualidade em menos tempo usando métodos como o Desenvolvimento Ágil (por exemplo, Scrum e Extreme Programming (XP)). Embora algumas instituições abordem esse conteúdo nos cursos de graduação, muitos alunos e professores são indiferentes a ele, resultando em baixo entusiasmo e prática. Este artigo apresenta um caso real de uma atividade em sala de aula para ensinar conceitos do Scrum usando blocos de Lego. Ao final, os alunos foram convidados à avaliar a eficácia da atividade. Os resultados mostraram que jogos dinâmicos e atividades práticas são mais eficazes que aulas teóricas ou em vídeo.

Index Terms- Aprendizagem na Educação, Desenvolvimento de Software, Processo Ágil, Scrum

Title- La educacion en línea se beneficia de recursos digitales avanzados que actualmente pueden ademas ofrecer actividades interactivas como por ejemplo: Videos, animaciones, laboratorios virtuales y remotos, juegos en línea, entre otros. Los estandares educativos y los entornos virtuales de aprendizaje (VLE por sus siglas en ingles) permiten la integración de todos estos materiales en objetos de aprendizaje que se pueden implementar en cursos en línea masivos o MOOCs (Massive Open Online Courses). Los laboratorios virtuales brindan la oportunidad de capacitar a los estudiantes y brindarles la confianza para futuras interacciones con entornos de laboratorio reales, con ventajas tales como: costo, portabilidad, concurrencia y seguridad. Los videojuegos educativos pueden mejorar la adquisicion de conocimiento de los estudiantes y desarrollar habilidades tales como: velocidad mental, reacción, conexión entre pensamientos y movimientos y concentracion. Este artículo presenta la implementacion de una experiencia de aprendizaje de laboratorio virtual que incluye el uso de videojuegos, contenido multimedia y simulaciones virtuales. El objetivo de este recurso es ayudar en el aprendizaje del problema de planificacion de redes inalámbricas e incrementar el conocimiento de los conceptos claves de los estudiantes en el campo de las redes inalambricas. El laboratorio virtual permite a los estudiantes resolver problemas simples de distribucion de antenas y aumentar progresivamente el nivel al agregar restricciones e incluir nuevos conceptos en el diseno de la red.

Index Terms- Aprendizaje basado en juegos, videojuegos, laboratorios virtuales, objetos de aprendizaje, planificacion de ´ redes inalambricas.

Title- Los sistemas de analítica multimodal del aprendizaje (MMLA), entendidos como aquellos que emplean evidencia multimodal del aprendizaje para modelar mejor la situacion de aprendizaje, aun no están muy extendidos en la práctica. Entre las posibles razones, cabe mencionar su complejidad tecnica y la baja participacion de las personas interesadas (e.g., docentes o alumnos) en el diseno de dichas soluciones. Este artículo propone una cadena de valor de datos multimodales (M-DVC) para dar apoyo al proceso de sistematizacion y a la comunicación entre las personas involucradas durante la especificacion de sistemas de MMLA. Esta herramienta conceptual, fruto de las lecciones aprendidas del campo de los macrodatos (Big Data) y las necesidades emergentes de escenarios MMLA, ha sido evaluada en tres estudios de caso autenticos con sistemas MMLA en desarrollo. Los resultados de nuestra evaluacion con metodos mixtos enfatizan la utilidad de la M-DVC para detectar presunciones no consensuadas o pasos dudosos del procesado de datos en las primeras etapas del desarrollo. La evaluacion también reveló limitaciones de la M-DVC en cuanto a la terminología tecnica utilizada, así como la necesidad de incluir informacion contextual más detallada. Dichas limitaciones apuntan a como, proporcionando una descripción más clara y facilitando la comunicacion en grupos multidisciplinares, la M-DVC puede contribuir a la creacion de soluciones MMLA significativas para el contexto educativo.

Index Terms- Cadena de Valor de los Datos, Analítica Multimodal del Aprendizaje, Utilidad, Evaluacion, Comunicación entre las Partes Interesadas, Herramientas Conceptuales.