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Publications

Publications by CRIIS

2021

Drivers of the adoption of non-traditional methodologies: case study in the master- integrated of Electrical and Computer Engineering at the University Of Tras-Os-Montes and Alto Douro, Portugal

Authors
Pereira, CA; Oliveira, PM; Reis, MJCD;

Publication
TEXTO LIVRE-LINGUAGEM E TECNOLOGIA

Abstract
The study analyzed several instruments of the master-integrated course in Electrical and Computer Engineering at a Portuguese Public University. The institutional drivers responsible for adopting new methodologies in the course were evaluated. A case study was carried out with a qualitative approach based on mixed methods: a statistical analysis applied to textual corpus and complemented by content analysis. As a result, two classes of content analysis emerged: skills and knowledge expected from students; and aspects of training in Electrical Engineering and the study cycle. Seven drivers were identified for the adoption of new methodologies in the course, based on the theories of diffusion of innovation and institutional theory: training, development, competence, study cycle, new, technology, and UC. Each of these drivers has its outcomes, 16 in total, which shows the effects perceived by the teachers, course coordinators and evaluators.

2021

How we Turned Fully Digital due to Covid-19: Two Control Engineering Teaching Experiences

Authors
Oliveira, PBD; Soares, F;

Publication
2021 4TH INTERNATIONAL CONFERENCE OF THE PORTUGUESE SOCIETY FOR ENGINEERING EDUCATION (CISPEE)

Abstract
While living in a digital era, both teachers and students of Engineering Courses were not ready for the drastic change associated with the Covid-19 first confinement (March 2020). This forced change from a presential mode to a fully on-line mode provided teaching/leaning difficulties as well as new opportunities. Moreover, as most engineering courses require laboratory practice, on-line teaching raised additional challenges. This paper reports two different experiences in two different Control Engineering university courses in the North of Portugal. The goal is to share some learning tools that are particularly relevant in the pandemic time we are living: pocket-sized laboratory kits that students can easily take home and experience real-world control contents; an open Mural that can serve as an exchange of knowledge. Perceptions received both from students and lecturers regarding these two experiments are presented.

2021

Innovative Teaching/Learning Methodologies in Control, Automation and Robotics: a Short Review

Authors
Afonso, R; Soares, F; Oliveira, PBD;

Publication
2021 4TH INTERNATIONAL CONFERENCE OF THE PORTUGUESE SOCIETY FOR ENGINEERING EDUCATION (CISPEE)

Abstract
Innovative teaching-learning methodologies in the fields of Control, Automation and Robotics are of great interest to researchers, educators and students. Nowadays there is a wide range of technological options available that can be used to improve learning and motivate students in their knowledge acquisition and skills development. Concepts such as Pocket-Sized Labs, Virtual and Remote Labs, as well as Web-Based Learning, are increasingly included in the teaching-learning processes, where students are expected to acquire their knowledge as active and central elements in the entire process. This article focuses on the review of various teaching-learning methodologies in the fields of Control, Automation and Robotics, taking several aspects into account: the portability and low cost of devices and applications, the possibility of autonomous and distance learning and centering of the learning process in the student. The conclusions drawn allow us to state that it is possible to apply innovative, effective and motivating methodologies with tools, devices and applications that are both low-cost and easy to access. It can also be inferred that the future of teaching demands a radical departure from the traditional methodologies, as well as taking advantage of technologies and students' skills to use and put them into practice.

2021

Genetic and Ant Colony Algorithms to Solve the Multi-TSP

Authors
Castro Pereira, Sd; Solteiro Pires, EJ; Moura Oliveira, PBd;

Publication
Intelligent Data Engineering and Automated Learning - IDEAL 2021 - 22nd International Conference, IDEAL 2021, Manchester, UK, November 25-27, 2021, Proceedings

Abstract
Multiple traveling salesman problem (mTSP) is a variant of the famous and standard traveling salesman problem, an NP-hard problem in combinatorial optimization. This kind of problem can be solved using exact methods but usually results in high exponential computational complexities. Heuristics and metaheuristics are required to overcome this shortcoming. This study proposes a hybrid method based on the Genetic Algorithm, Ant Colony Optimization, and 2-opt to improve the solution. Computational results with some benchmark instances are provided and compared with other published studies. In three instances, the proposed technique provides better results than the best-known solutions reported in the literature.

2021

Impact of Educational Robotics on Student Learning and Motivation: A Case Study

Authors
Afonso, R; Soares, F; Oliveira, PBD;

Publication
IEEE TALE2021: IEEE INTERNATIONAL CONFERENCE ON ENGINEERING, TECHNOLOGY AND EDUCATION

Abstract
This article analyses the impact that educational robotics has on the learning and motivation of primary school students. The study was based on a set of activities developed during the school year, within the scope of the Programming and Robotics Club (PRC), at Agrupamento de Escolas de Monserrate (AEM). These activities involved 66 4th grade students attending two primary schools that belong to AEM. These activities addressed different subjects such as the Discovery of Electrical Continuity, Programming without a Computer and the Discovery of Robotics, among others. At the same time, the AEM Programming and Robotics Club participated in the national contest together with other clubs from the country. At the end of the activities, a questionnaire was applied to the participants, in order to assess the impact they had on these students. The results obtained were very positive, as the students said that the club and its activities are a valuable asset for their development, learning and motivation.

2021

Delivering Critical Stimuli for Decision Making in VR Training: Evaluation Study of a Firefighter Training Scenario

Authors
Monteiro, P; Melo, M; Valente, A; Vasconcelos Raposo, J; Bessa, M;

Publication
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS

Abstract
The goal for a virtual reality (VR) training system is to enable trainees to acquire all the knowledge they need to perform effectively in a real environment. Such a system should provide an experience so authentic that no further real-world training is necessary, meaning that it is sufficient to train in VR. We evaluate the impact of a haptic thermal stimulus, which is of paramount importance to decision making, on trainees performance and knowledge acquisition. A thermal device was created to deliver the stimulus. As a proof of concept, a procedure from firefighter training is selected, in which sensing the temperature of a door with one's hand is essential. The sample consisted of 48 subjects divided among three experimental scenarios: one in which a virtual thermometer is used (visual stimulus), another in which the temperature is felt with the hand (thermal stimulus) and a third in which both methods are used (visual + thermal stimuli). For the performance evaluation, we measured the total time taken, the numbers of correctly executed procedures and identified neutral planes, the deviation from the target height, and the responses to a knowledge transfer questionnaire. Presence, cybersickness, and usability are measured to evaluate the impact of the haptic thermal stimulus. Considering the thermal stimulus condition as the baseline, we conclude that the significantly different results in the performance among the conditions indicate that the better performance in the visual-only condition is not representative of the real-life performance. Consequently, VR training applications need to deliver the correct stimuli for decision making.

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