Games have important motivational power. They take advantage of a set of tools to encourage people to engage with them just for the joy of playing and the possibility to win. While gamification is gaining ground in a lot of areas in our society, its application in education is still an emerging trend. In recent years, gamification has attracted the attention of researchers from different areas such as teaching and learning computer programming. Ever since the first programming languages emerged, the problems inherent to programming teaching and learning have been studied and investigated. The theme is very serious, not only for the important concepts underlying computer science courses but also for reducing the lack of motivation, failure, and abandonment that result from student frustration. In most of these studies and research one factor prevails, lack of student motivation or how to motivate students to learn programming. One way to combat this problem is to use gamification. Using game design elements in non-game contexts is one of the good ways to motivate and encourage students to learn programming. To assess how gamification impacted the learning experience, we compared data from one gamified and non-gamified year. In general, the results show significant improvements in terms of attendance to class, participation, and proactivity. They also suggest that our approach can reduce the high rate of failure grade among students. In conclusion, this case study, we show how the use of concepts related to gamification can improve motivation, passion, beauty, joy, awe, e naturally the succeed in programming.

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One of the best skills for everyone, for now, and for the future, is problem-solving. Computational thinking is the way to help us to develop that skill. Computational Thinking can be defined as a set of skills for problemsolving based on computer techniques. Computational thinking is needed everywhere and is going to be a key to success in almost all careers, not only for a scientist but for many professionals, like doctors, lawyers, teachers or farmers. For many problems it is a good idea to make a plan for its resolution using some of the techniques of computer science, such as: breaking down a complex problem into smaller parts that are more manageable and easier to understand, or solve-decomposition; looking for similarities among and within problems and others experiences-pattern recognition; focusing on the important information only, and pulling out specific differences to make one solution work for multiple problems: abstraction; developing a step-by-step solution to the problem: algorithms. This plan can be used by everyone, regardless of their area of knowledge, task or age. It is essential that these techniques are practiced and developed very early. In recent years we have to see the proliferation of numerous projects with the specific objective of encouraging the study of Computational thinking. The projects of massification of computational thinking and coding are now starting to be implemented in our education system in Portugal. Most students of the first year of the Computer Engineering course, from the IPG, mostly did not have the opportunity to develop computational thinking throughout their student life. In this paper, we present the results of a case study using follow and give instructions to improve their capacities in Computational Thinking.. ResumenUna de las mejores habilidades para todos, por ahora y para el futuro, es la resolución de problemas. El pensamiento computacional es la manera de ayudarnos a desarrollar esa habilidad. El pensamiento computacional se puede definir como un conjunto de habilidades para la resolución de problemas basadas en técnicas informáticas. El pensamiento computacional es necesario en todas partes y será la clave del éxito en casi todas las carreras, no solo para un científico, sino también para muchos profesionales, como médicos, abogados, docentes o agricultores. Para muchos problemas, es una buena idea hacer un plan para su resolución utilizando algunas de las técnicas de la informática, tales como: descomponer un problema complejo en partes más pequeñas que sean más manejables y fáciles de entender, o resolver-descomposición; buscando similitudes entre y dentro de problemas y otras experienciasreconocimiento de patrones; centrándose solamente en la información importante y eliminando las diferencias específicas para que una solución funcione para múltiples problemas: abstracción; desarrollando una solución paso a paso al problema: algoritmos. Este plan puede ser utilizado por todos, independientemente de su área de conocimiento, tarea o edad. ...

Information dashboards are sophisticated tools. Although they enable users to reach useful insights and support their decisionmaking challenges, a good design process is essential to obtain powerful tools. Users need to be part of these design processes, as they will be the consumers of the information displayed. But users are very diverse and can have different goals, beliefs, preferences, etc., and creating a new dashboard for each potential user is not viable. There exist several tools that allow users to configure their displays without requiring programming skills. However, users might not exactly know what they want to visualize or explore, also becoming the configuration process a tedious task. This research project aims to explore the automatic generation of user interfaces for supporting these decisionmaking processes. To tackle these challenges, a domain engineering, and machine learning approach is taken. The main goal is to automatize the design process of dashboards by learning from the context, including the end-users and the target data to be displayed.

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