Sobral, Sónia Rolland
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Último Nome
Sobral
Primeiro Nome
Sónia Rolland
Nome
Sónia Rolland Sobral
Biografia
Licenciada em Informática de Gestão, mestre em Engenharia Eletrotécnica e de Computadores, doutora em Tecnologias e Sistemas de Informação e possui o título de agregado em Ciências da Informação. Desde 1993 é docente da Universidade Portucalense (UPT), sendo atualmente professora associada com agregação. Lecionou em diversos cursos como Engenharia Informática e Engenharia e Gestão Industrial, em diversas instituições como Lodz University of Technology e a Universidade de Aveiro, e em diversos países como Angola e Cabo Verde. Participou em diferentes órgãos, tendo sido presidente do Conselho Pedagógico da UPT. Pertence à comissão de várias conferências internacionais e revistas científicas. É autora de uma centena de publicações, a sua maioria indexadas na SCOPUS e/ou WoS. É membro integrado no REMIT – Research on Economics, Management and Information Technologies, sendo atualmente coordenadora de um dos dois grupos de investigação (Transformação Digital e Inovação nas Organizações).
Afiliação:
REMIT – Research on Economics, Management and Information Technologies.
DCT - Departamento de Ciência e Tecnologia.
Identificadores
ED15-C9EC-5996
37091626900
G-2227-2014Projetos de investigação
Unidades organizacionais
REMIT – Research on Economics, Management and Information Technologies
Centro de investigação que que tem como objetivo principal produzir e disseminar conhecimento teórico e aplicado que possibilite uma maior compreensão das dinâmicas e tendências económicas, empresariais, territoriais e tecnológicas do mundo contemporâneo e dos seus efeitos socioeconómicos. O REMIT adota uma perspetiva multidisciplinar que integra vários domínios científicos: Economia e Gestão; Ciências e Tecnologia; Turismo, Património e Cultura.
Founded in 2017, REMIT – Research on Economics, Management and Information Technologies is a research unit of Portucalense University. Based on a multidisciplinary and interdisciplinary perspective it aims at responding to social challenges through a holistic approach involving a wide range of scientific fields such as Economics, Management, Science, Technology, Tourism, Heritage and Culture.
Grounded on the production of advanced scientific knowledge, REMIT has a special focus on its application to the resolution of real issues and challenges, having as strategic orientations:
- the understanding of local, national and international environment;
- the development of activities oriented to professional practice, namely in the business world.
54 resultados
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Publicação Acesso Aberto Two Decades of Research in e-Learning: A Deep Bibliometric Analysis2021 - Sobral, Sónia RollandE-learning is the electronic version of distance learning: a planned teaching that presupposes a physical separation between the teacher and the student. The distance is either geographic or temporal, and communication can be asynchronous or synchronous, respectively. E-learning has been a target of high-quality research for the last two decades. The purpose of this paper is to analyze the scientific production on e-learning in journals indexed on Elsevier’s Scopus. The sample was composed by 25330 articles from 2000 to 2019. The results obtained by bibliometric analysis showed that rates publication continue to increase. A report was made on the journals, languages, authors, keywords, organizations and countries that publish in the field. This analysis was done for all articles as well as for the most cited articles. The bibliometric analysis was done for a total of 20 years, as well as for four 5-year periods. This article provides information from the past, but mostly clues about research on e-learning in the futurePublicação Acesso Aberto Introdução à programação usando Python2023-03-10 - Sobral, Sónia RollandUma linguagem de programação é um sistema que permite a interação do homem com a máquina, sendo entendida por ambos. É uma linguagem formal que especifica um conjunto de instruções e de regras, sendo usada para materializar a solução de um problema. Resolver problemas com utilização de linguagens de programação não se resume a «teclar código», escrevendo-o num editor. Antes de codificar é necessário identificar o problema, compreendê-lo e encontrar, não apenas soluções, mas a melhor das soluções. [...]Publicação Acesso Restrito Why ChatGPT isn't introductory programming Freshmen's best friend2024-06-25 - Sobral, Sónia RollandThe emergence of ChatGPT brought a lot of controversy in society and academia due to the ease with which students can effortlessly perform work. This paper investigates whether a freshman student in an introductory programming unit using Python benefits from using ChatGPT, even as an aid. The methodology used was the application of three written tests of one semester - using Python programming language -, answered by ChatGPT (free version), analysed, and compared with a “good” solution of each one. Strangely, or maybe not, errors and problems were found in the solutions provided by ChatGPT that are the same ones that self-taught student (those who learn on YouTube and websites around the Internet world) make.Publicação Acesso Aberto The first programming language and freshman year in computer science: characterization and tips for better decision making2020 - Sobral, Sónia RollandThe ability to program is the “visible” competency to acquire in an introductory unit in computer science. However, before a student is able to write a program, he needs to understand the problem: before formalizing, the student must have to (be able) to think, (be able) to solve and (be able) to define. At an early stage of learning there are no significant differences between programming languages. The discussion of the early programming language continues: probably never will be a consensus among academics. The Association for Computing Machinery (ACM) and Institute of Electrical and Electronics Engineers (IEEE) computer science curriculum recommendations haven’t clearly defined which programming language to adopt: it is the course directors and teachers who must make this choice, consciously and not only following the trends. This article presents a set of items that should be considered when you make a programming language choice for the first programming unit in higher education computer science courses.Publicação Acesso Aberto EU27 Higher Education Institutions and COVID-192021-06-02 - Sobral, Sónia Rolland; Cardoso, Abílio; Jesus-Silva, Natacha; Moreira, FernandoCOVID-19 forced higher education institutions to reinvent themselves. The (usually) face-to-face education has swapped to distance contingency education. This change brought about numerous challenges that impose adjustments in several dimensions, such as pedagogical strategies and the dependence on teaching platforms and computer systems—and, above all, the new relationship between the various actors (students, teachers, and management staff). All the sudden changes, combined with uncertainty concerning what was happening, created several strategies and options. This paper has the main purpose of analyzing the scientific production on higher education of EU27 academic institutions during the 2020 COVID-19 pandemic in journals indexed in Clarivate Analytics’ Web of Science and Elsevier’s Scopus. The sample is composed of 22 articles in total. The results show that the articles were published in 19 journals; their main focuses are Higher Education, COVID-19, and distance learning. In our database, we find several types of concerns, which shows that HEIs have a wide range of dimensions. We intend this article to be an instrument, not only to identify what was done in 2020, but to point out clues for the future.Publicação Acesso Restrito An assessment of the Informatics Engineering Degree's first three years of existence2024-06-25 - Santos-Pereira, Carla; Durão, Natércia; Sobral, Sónia Rolland; Moreira, FernandoEvaluating the progress of an Informatics Engineering degree is crucial for assessing its effectiveness, identifying areas that require improvement, and ensuring continuous program enhancement. Through systematic evaluation, it becomes possible to measure students' advancement, evaluate the quality of teaching methodologies, and align the curriculum with the evolving demands of the field. This paper presents the results from a performance evaluation of three core curricular units (1 st year, 1 st semester). The results obtained are aligned with the bibliography.Publicação Acesso Aberto CS1 Student Grade Prediction: Unconscious Optimism vs Insecurity?2021 - Sobral, Sónia RollandThe difficulties of many students in introductory programming courses and the consequent failure and drop out make it necessary to look for motivation strategies for them to be successful. One of the strategies that is touted in the literature is self-assessment to compromise and motivate students. As we had doubts about the possibility of this strategy, we did an experiment and asked the students to predict the grades of the two tests and the two projects during a semester. Even knowing the correction grid and exercises that involve programming languages, which shows the result to the programmer, we found that the students' forecasts were not very accurate. In the first test we found that the worst students said they were going to get reasonable grades and much better than reality, while the best students thought they had worse grades than they actually had. The other moments of evaluation did not have as severe results, but forecasts continued to be inaccurate. We did tests by gender, by age, for being a freshman or not, for having taken a computer course in high school and for previous knowledge of programming languages: none of these variables proved to be as significant as the students' grades and their corresponding insecurity-fear or optimism-unconscious.Publicação Acesso Restrito Strategies on Teaching Introducing to Programming in Higher Education2021 - Sobral, Sónia RollandTeaching and learning how to program are not easy tasks: they can be very challenging. Introductory programming courses traditionally have high rates of failures and dropouts. Teachers and researchers must develop strategies to combat this problem. The purpose of this paper is to analyse the scientific production on strategies on teaching how to program in higher education in journals indexed in an international database’ indexed in Elsevier’s Scopus in the years 2000 to 2019. We provide an up-to-date review of the existing literature. To provide a comprehensive survey, we not only categorize existing strategies but also present detailed descriptions of relevant topics such as Active Learning, Pair Programming, Flipped Classroom and Project Based Learning. The sample was composed by 92 articles in total. The first results obtained by bibliometric analysis showed that publication rates increased slowly but have expanded in the last two years, in which journals the articles are published, which are the organizations and countries that publish the most and which are the most cited articles. The motivation for this study is to bear in mind the research that has been done so that it strategies can be used and experienced by teachers who teach programming to undergraduate students.Publicação Acesso Aberto To do or not to do previous homework in computer education2022-06 - Sobral, Sónia RollandThe first contact of freshmen students with computer thinking and programming languages is not an easy task. [...]Publicação Acesso Aberto How Does Learning Analytics Contribute to Prevent Students’ Dropout in Higher Education: A Systematic Literature Review2021-11-04 - Oliveira, Catarina Félix de; Sobral, Sónia Rolland; Ferreira, Maria João; Moreira, FernandoRetention and dropout of higher education students is a subject that must be analysed carefully. Learning analytics can be used to help prevent failure cases. The purpose of this paper is to analyse the scientific production in this area in higher education in journals indexed in Clarivate Analytics’ Web of Science and Elsevier’s Scopus. We use a bibliometric and systematic study to obtain deep knowledge of the referred scientific production. The information gathered allows us to perceive where, how, and in what ways learning analytics has been used in the latest years. By analysing studies performed all over the world, we identify what kinds of data and techniques are used to approach the subject. We propose a feature classification into several categories and subcategories, regarding student and external features. Student features can be seen as personal or academic data, while external factors include information about the university, environment, and support offered to the students. To approach the problems, authors successfully use data mining applied to the identified educational data. We also identify some other concerns, such as privacy issues, that need to be considered in the studies.