Abstract
This paper describes the use of NAO robot, a humanoid robot and the use of Arduino in education for final engineering projects in the area of engineering. This learning approach was implemented in the final project of the Biomedical Engineering degree. The objective this project is the sensorial extension of the NAO platform, integrating a set of sensors that allow not only to analyze multiple vital parameters in a passive way but also to obtain a more precise contextual information. © CLAWAR Association.

Abstract
Healthcare institutions face serious security challenges, namely confidentiality, integrity and availability of patient's data due to the amounts of sensitive data collected on Health Information Systems (HIS) and the complex data management processes in health care. This paper describes scenarios of undue HIS access by staff in healthcare institutions, use cases (UC) that model the activities on HIS and identify the variables on audit trails (AT) logs that can be used to detect illegitimate actions on patients' data. Firstly, a survey was conducted through discussion meetings with Information Systems Director (ISD), Data Protection Officer (DPO) and a jurist to discuss their concerns about patient data access, followed by interviews to professionals from healthcare institutions to gather information about their routines and HIS access practices. Then, undue access scenarios were described and UC of activities on HIS which allow their detection were modelled. Lastly, necessary log variables were identified in order to produce algorithms for illegitimate accesses detection. UC and variables selected were matched with the specific requirements of Ministers Council Resolution (MCR) nr.41/2018 which provides guidelines for technology to be compliant with General Data Protection Regulations (GDPR). Discussions with ISD, DPO and the jurist, and professionals' interviews allowed us to describe nine scenarios of undue access. For each scenario we modelled one UC. 32 variables from different type of logs were identified for illegitimate access detection, of which 14 are mandatory according to MCR nr. 41/2018. Despite we might have some limitations related to poor HIS log quality, the mandatory data that logs must comply will be very useful for the development of UC presented. In addition, it is possible to request systems' vendors the improvement of logs' data to meet the detail we propose for this model, which may be very useful to comply not only with GDPR requirements but also with the Standard "Management of Information" (MOI.11) of Joint Commission International Standards for Hospitals (JCI) certification. As future work, we intend to develop the algorithms for the UC modelled, that will detect suspicious activities and produce alarmistic in their presence, testing them in real environment of a hospital to help Information Systems department and DPO on investigation and prevention of data breaches. (C) 2019 The Authors. Published by Elsevier B.V.

Abstract
This paper explores two editions of a MOOC delivered at Universidade Aberta's "AULAbERTA" (Open Class) platform. This platform offers different kinds of open learning paths and concerning specifically the MOOC learning path it is relevant to understand if the pedagogical model and the strategy achieve the desired results: (i) to improve education and enlarge the access to knowledge; (ii) to deliver high quality open and online education in Portuguese. The methodology used was based on a cross analysis of learner activity statistics against certain characteristics of the participants' profile like profession and motivations. Four categories of participants were identified and some aspects of their behaviours and engagement in the MOOC were examined, providing some insights concerning the level of participation and interaction. These elements can help us to understand some differences in the learning experiences connected with internal and external motivations and also how participants appreciate the online experience and course design.

Abstract
Internationalization-at-home activities present relevant opportunities for innovation in the teaching-learning process. These activities provide a very broad set of advantages, including the development of soft skills and increased motivation of students. This article aims to contribute to the debate on internationalization of higher education institutions by exploring students’ perceptions and experiences after participating in an international collaboration project involving 153 students in 5 universities in Germany, Mexico, Portugal, Scotland and the United States of America during the Fall/Winter semester 2017. The focus of this study is students’ satisfaction and perceptions. Results demonstrate that although students found the idea of collaborating with peers from other universities very appealing, high levels of satisfaction depended on commitment, both their own and that of their peers. The feelings during the project were predominantly positive, although students recognized that they should have communicated more with their partners and put more effort in the collaboration. This article provides useful evidence for instructors that are considering an international collaboration activity for their students. It demonstrates the deliverables of such initiatives as well as the clear advantage gained by receiving students’ feedback. Hopefully it will inspire other instructors and contribute to the diffusion of international collaboration as a teaching-learning practice.

Abstract
This paper describes a Decision Support System (DSS) that aims to plan and maintain the weekly self-promotion space for an over the air TV station. The self-promotion plan requires the assignment of several self-promotion advertisements to a given set of available time slots over a pre-specified planning period. The DSS consists of a data base, a statistic module, an optimization module, and a user interface. The input data is provided by the TV station and by an external audiometry company, which collects daily audience information. The statistical module provides estimates based on the data received from the audiometry company. The optimization module uses a genetic algorithm that can find good solutions quickly. The interface reports the solution and corresponding metrics and can also be used by the decision makers to manually change solutions and input data. Here, we report mainly on the optimization module, which uses a genetic algorithm (GA) to obtain solutions of good quality for realistic sized problem instances in a reasonable amount of time. The GA solution quality is assessed using the optimal solutions obtained by using a branch-and-bound based algorithm to solve instances of small size, for which optimality gaps below 1% are obtained.

Abstract
Over the years robotics has made great progress. Nowadays, robots begin to be part of the life of any person, designated social robotic. Humanoid robots are fascinating and have several advantages, such as they can work in places where there is a risk of contamination, risk of health, danger of life, places that are difficult to access. They also are able to access different types of terrain and to climb stairs. NAO robot is currently the humanoid platform with high sensory capacity that it has lower costs in the market. This robot is similar to human in order to have a more real and natural with society. Using the capabilities of the robot and adding other sensors, we can have a more powerful machine in our society. NAO robot is presented in this paper as a domestic robot. © CLAWAR Association.