Abstract
This article inspects theory emerging from literature review and labora-tory work on games for cultivating creative literacy. Whether games can or cannot instil or alienate one’s creativity is debatable. On one hand, they can be risk-and stress-free exploring grounds for people to interact in ways without parallel; on another, they can disengage players from the real world. Nevertheless, they have the potential to be turned into tools for thinking, for learning and for articulating knowledge between individu-als. With that into consideration, we pinpointed two main groups that branch into four major categories: Behaviours – comprised of Attitudes and Competencies – and Conditions – comprised of Procedures and Resources – which we are structuring into a framework from which we draw hypotheses that undergo validation through play-testing sessions, in order to improve the framework.

Abstract
Este trabalho apresenta um Mapeamento Sistemático da Literatura sobre evasão escolar, em que se buscou identificar tecnologias de mineração de dados e fatores indutores para evasão escolar, que vem sendo exploradas para desvendar as possíveis causas da evasão escolar. As buscas foram realizadas em quatro bases de dados científicas, com o objetivo de responder a seguinte questão de pesquisa: “Quais ferramentas, técnicas e fatores indutores vem sendo utilizados para desvendar possíveis causas da evasão escolar?”. Observou-se que a ferramenta Weka é a mais utilizada para auxiliar a desvendar as causas da evasão escolar. Entre as técnicas, destaca-se a utilização da classificação. Por fim, o mapeamento identificou que os principais trabalhos da área se concentram em estudar fatores relacionados às características individuais do aluno.

Abstract
For the majority of students, assessment moments are associated with significant levels of stress and anxiety. While a certain amount of stress motivates the individual and improves performance, too much stress will have the contrary effect. Stress has therefore a fundamental role on student performance. It should be the educational organizations' mission to understand the underlying mechanisms that lead to performance anxiety and provide their students with the best coping tools and strategies. In the present study we analyze student behavior during e-assessment in terms of mouse dynamics. Two major behavioral patterns can be identified, based on ten features that quantify the performance of the student's interaction with the computer: (1) students who are able to sustain performance during the exam and (2) students whose performance varies significantly. Data shows that the behavior of each student during the exam correlates strongly with the time it takes the student to complete it. Several classifiers were trained that predict the completion time of each exam based on the students' interaction patterns. Two of them do it with an average error of around twelve minutes. Results show that there are still mechanisms that can be explored to better understand the complex relationship between stress, performance and human behavior, that can be used for the implementation of better stress detection, monitoring and coping strategies.

Abstract
Energy efficiency is the solution for a building to provide a comfortable environment with limited energy consumption. This entry will outline some of the most significant tools an energy manager can resort to when attempting to improve energy efficiency in a building. Tools such as energy audits, energy benchmarking, building automation, building energy simulation, and energy management systems, among others, are presented in a brief and practical way, with particular emphasis on their application to higher education buildings. The main conclusions point out the specificity of these types of buildings, recognize the importance of engaging building users in energy management activities, and suggest such topics could be included in the curricula of courses. © 2025 Elsevier B.V., All rights reserved.

Abstract
The ANTAREX project developed an approach to the performance tuning of High Performance applications based on an Aspect-oriented Domain Specific Language (DSL), with the goal to simplify the enforcement of extra-functional properties in large scale applications. The project aims at demonstrating its tools and techniques on two relevant use cases, one in the domain of computational drug discovery, the other in the domain of online vehicle navigation. In this paper, we present an overview of the project and of its main achievements, as well as of the large scale experiments that have been planned to validate the approach.

Abstract
In this paper, a new method for optimal sizing of distributed generation (DG) is presented in order to minimize electricity costs in smart microgrids (MGs). This paper presents a study of the effect of wholesale electricity market on smart MGs. The study was performed for the Ekbatan residential complex which includes three smart MGs considering high penetration of renewable energy resources and a 63/20 kV substation in Tehran, Iran. The role of these smart MGs in the pool electricity market is a price maker, and a game-theoretical (GT) model is applied for their bidding strategies. The objective cost function considers different cost parameters in smart MGs, which are optimized using particle swarm optimization (PSO). The results show that applying this method is effective for economic sizing of DGs.