Abstract
O artigo discute e problematiza o acompanhamento e a avaliação da aprendizagem no âmbito da Educação Híbrida e Educação OnLIFE, evidenciando a construção destes conceitos. O objetivo da pesquisa é apresentar e discutir uma proposta de acompanhamento e avaliação da aprendizagem, desenvolvida a partir de elementos presentes no método cartográfico de pesquisa intervenção e elementos presentes na gamificação. Os resultados apontam o potencial do desenho para provocar deslocamentos na forma como os professores compreendem a avaliação e, para instigar processos metacognitivos e tomada de consciência sobre o processo de aprendizagem.

Abstract
Technological developments have had a major impact on the intensive use of electronic equipment, networked or connected to the internet, factors that have boosted the emergence and growth of cybercrime. Measures to mitigate and combat the phenomenon, taking into account its complexity and specificity, must involve all public entities with responsibility in the sector, in a global effort to promote digital literacy in the areas of cybersecurity and computer crime prevention. These comprehensive actions should use digital technologies based on artificial intelligence (AI), such as virtual assistants, whose characteristics allow the massification of information transmission, while enhancing the digital inclusion of users. Government entities are engaged in adopting technologies based on chatbots, with their presence in several areas of public administration. Despite the evolution, these resources have not yet been made available by the entities responsible for mitigating computer crime. On the other hand, although there are government programs aimed at increasing the digital skills of citizens, namely regarding the protection of devices, digital content or personal data, they are not designed for the specificities of cybercrime. In this context, a system based on chatbots, implemented in a digital governance context, by law enforcement agencies, with resources shared with other government entities can contribute to the prevention of cybercrime. © 2022 IEEE.

Abstract

Abstract
Over the last years, accessibility has been gaining more recognition, hence there is a market demand for professionals skilled in accessibility. Therefore, there is a trend towards incorporating accessibility in computer science curricula. Many approaches were presented in order to teach accessibility in the academy, however many failed in the department of motivation and engagement. Moreover, gamification is a strong contender when it comes to engaging, motivating and improving the students' performance using game design elements in non-game context, and it has not been much explored to teach accessibility in the academy. Consequently, this paper proposes to teach accessibility in the academy through a gamification-based approach. The paper starts with a presentation of the proposed approach and finally concludes the paper along with future research direction.

Abstract
Public databases for glaucoma studies contain color images of the retina, emphasizing the optic papilla. These databases are intended for research and standardized automated methodologies such as those using deep learning techniques. These techniques are used to solve complex problems in medical imaging, particularly in the automated screening of glaucomatous disease. The development of deep learning techniques has demonstrated potential for implementing protocols for large-scale glaucoma screening in the population, eliminating possible diagnostic doubts among specialists, and benefiting early treatment to delay the onset of blindness. However, the images are obtained by different cameras, in distinct locations, and from various population groups and are centered on multiple parts of the retina. We can also cite the small number of data, the lack of segmentation of the optic papillae, and the excavation. This work is intended to offer contributions to the structure and presentation of public databases used in the automated screening of glaucomatous papillae, adding relevant information from a medical point of view. The gold standard public databases present images with segmentations of the disc and cupping made by experts and division between training and test groups, serving as a reference for use in deep learning architectures. However, the data offered are not interchangeable. The quality and presentation of images are heterogeneous. Moreover, the databases use different criteria for binary classification with and without glaucoma, do not offer simultaneous pictures of the two eyes, and do not contain elements for early diagnosis.

Abstract
The Internet of Things (IoT) emerged to describe a network of connected things on a large scale to offer services to a large number of applications in different environments and domains. Middleware is software that seeks to facilitate the management and communication of all these things, providing the necessary functionalities to manage things, to discover, to compose services, and perform communication. For this reason, several proposals for middleware solutions for IoT have been developed. In this article, we conducted a systematic review of the literature to bring together middleware solutions for IoT, identifying the requirements and communication protocols used. In addition, we present some gaps and directions for future research in the development of IoT middleware.