Abstract
The main goal of the conference is to promote the interest in the current digital culture and its intersection with art and technology as an important research field, and also to create a common space for discussion and exchange of new experiences. It seeks to foster greater understanding about digital arts and culture across a wide spectrum of cultural, disciplinary, and professional practices. To this end, many scholars, teachers, researchers, artists, comput-er professionals, and others who are working within the broadly defined areas of digital arts, culture and education across the world, submitted their innovative work to the conference. © 2019 ACM.

Abstract
Internships have been widely used in higher education in different scientific fields, which presupposes the training of students in a work context. There are some studies on the usefulness of internships undertaken at undergraduate and graduate levels. However, to the best of our knowledge, literature has been disregarding short-cycle higher technical courses (TESP). This paper aims to fill this gap, describing and presenting results of perceptions of students enrolled in the internship subject of one TESP. More specifically, the objectives for this paper are: (i) to identify the obstacles students face; (ii) to explore students' perceptions of internship benefits; and, (iii) to examine the skills students consider to have improved as a result of their internship. A survey comprising both qualitative and quantitative questions was conducted with the students enrolled in the internship subject of the Sales, Management and Marketing TESP course at the University of Aveiro, Portugal, in the second semester of 2018/2019. 25 students accepted to participate in the study (89%). Despite some difficulties pointed out by students in adapting to a work context in the first weeks, the results show that they considered having improved their learning outcomes, and some interpersonal skills, such as autonomy, ability to take initiative, ability to conduct research, collaboration, flexibility, time management, personal organization, task planning, responsibility, and decision making. Additionally, students stressed that the internship facilitates their future employment. Thus, this study provides relevant cues for teachers and course directors in order to minimize weaknesses and maximize strengths of internships, aiming at a better articulation between HEI and companies.

Abstract
The ability to predict future energy consumption is very important for energy distribution companies because it allows them to estimate energy needs and supply them accordingly. Consumption prediction makes it possible for those companies to optimize their processes by, for example, providing them with knowledge about future periods of high energy demand or by enabling them to adapt their tariffs to customer consumption. Machine Learning techniques allow to predict future energy consumption on the basis of the customers' historical consumption and several other parameters. This article reviews some of the main machine learning models capable of predicting energy consumption, in our case study we use a specific set of data extracted from a two-year-period of a shoe store. Among the evaluated methods, Gradient Boosting has obtained an 86.3% success rate in predicting consumption. © 2019 IEEE.

Abstract
This investigation concerns the translation and validation of the ITC - Sense of Presence Inventory (ITC-SOPI) for the Portuguese-speaking population (in Europe), estimating the validity of the content and concepts and the maintenance of an equivalent semantics. It also sought to verify its psychometric properties, namely its factorial validity and internal consistency. The sample consisted of 459 individuals, 274 males and 185 females. The fidelity of the subscales varied between 0.67 and 0.89. Confirmatory factor analysis revealed a theoretical model of 35 items, divided by four factors. After fixing some of the residual errors between items, the following adjustment indexes were calculated: chi(2)/df = 2.301; goodness fit index = 0.860; comparative fitness index = 0.889; root mean square error of approximation = 0.053; Akaike's information criterion = 1420. Based on the observed results and the robustness of the sample size used, the obtained theoretical model shows that the ITC-SOPI is recommended to measure presence in virtual reality research projects with samples of Portuguese language speakers.

Abstract
In this paper, the integration of a solar power plant to an electric vehicle (EV) Parking Lot is analyzed in terms of reduction of power consumption and losses for various scenarios and operating conditions in a distribution system. The parking lot is designed for EVs and is fed by both grid and roof mounted photovoltaic (PV) panels. The energy management system is designed for charging EVs for various scenarios combined with solar radiation data varying during daytime and the seasons. The energy transactions are simulated in accordance with daytime Solar Power Plant (SPP) generation and EV energy response on Electrical Power System Analysis Software (ETAP) environment. EVs based power consumption is calculated by considering the variation of charging sequences of different car brands. The study represents the results for daily change of power consumption for summer and winter conditions along with the reduction of power consumption, reduction of power losses, decreased main feeder ampacity, restoration of voltage level during SPP operation, and comparison of different scenarios and operation sequences. Finally, the effect of the SPP is presented in terms of reducing the peak and continuous power demand of the parking lot for various EV operations.

Abstract