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- A systematic review of teacher-facing dashboards for collaborative learning activities and tools in online higher educationPublication . Romão, Tiago Miguel Lima; Pestana, Pedro Duarte; Morgado, Leonel; Queirós, Ricardo; Pinto, MárioDashboard for online higher education support monitoring and evaluation of students’ interactions, but mostly limited to interaction occurring within learning management systems. In this study, we sought to find which collaborative learning activities and tools in online higher education are included in teaching dashboards. By following Kitchenham’s procedure for systematic reviews, 36 papers were identified according to this focus and analysed. The results identify dashboards supporting collaborative tools, both synchronous and asynchronous, along categories such as learning management systems, communication tools, social media, computer programming code management platforms, project management platforms, and collaborative writing tools. Dashboard support was also found for collaborative activities, grouped under four categories of forum discussion activities, three categories of communication activities and four categories of collaborative editing/sharing activities, though most of the analysed dashboards only provide support for no more than two or three collaborative tools. This represents a need for further research on how to develop dashboards that combine data from a more diverse set of collaborative activities and tools.
- Program Book: 2023 IMS International Conference on Statistics and Data Science (ICSDS)Publication . Gomes, Maria Ivette; Oliveira, Teresa A.; Oliveira, Amilcar; Pestana, Pedro Duarte; Xu, MinIn response to the call from the 2021 IMS (Institute of Mathematical Statistics) Survey report to expand membership from emerging areas of data science, underrepresented groups, and from regions outside of North America, the IMS has launched the annual IMS International Conference on Statistics and Data Science (ICSDS). Following the success of 2022 ICSDS in Florence Italy, December 13-16. 2022, the second and this 2023 ICSDS is held on December 18-21, in Lisbon, Portugal. In addition to plenary sessions, invited, contributed and poster sessions, ICSDS offers a student paper competition for 12 Student Travel Awards. There are also Junior Researcher Support Funds for travel support for junior researchers. We gratefully acknowledge here the generous support for both awards from the funds of Industry Friends of IMS (IFoIMS). Students and young researchers are strongly encouraged to participate and utilize this support. The ICSDS conference has been thoughtfully organized to provide platforms to facilitate discovery dissemination and foster collaborations among researchers from a wide range of research and practice areas in statistics and data science, and from academia, industry and government. We are gratified to be able to welcome to the ICSDS more than 550 participants coming from more than 40 countries. The goal of the ICSDS is to afford such a diverse crowd a stimulating setting for exchanging ideas on the developments of modern statistics and data science, broadly defined, in all aspects of theory, methods and applications. The Local Organizing Committee in Lisbon, the beautiful capital city of Portugal, has worked hard to find the modern Cultural Center of Belém (CCB) in Belém area for us to host the ICSDS this year. CCB is located near where Tagus River meets the Atlantic Ocean, and it is surrounded by many magnificent landmarks, including Tower of Belém and Mosteiro dos Jerónimos. This location conveniently affords the conference participants rich social programs, including conference tours to Mosteiro dos Jerónimos and Tower of Belém, both are UNESCO World Heritage Sites, and are historical and architectural treasures for the world. We are also able to organize a conference banquet in the charming Casa do Alentejo to enjoy the local cuisine and the renowned Portuguese traditional Fado music performance. Participants are also highly encouraged to take advantage of the close proximity to “Pastéis de Belém” from CCB to enjoy the world famous Portuguese tarts. Many other wonderful things to do, eat and see in Lisbon can also be found in https://www.timeout.com/lisbon. We wish that the 2023 ICSDS proves to be another productive conference that will successfully cultivate more fruitful exchanges and collaborations for years to come. Acknowledgement: Needless to say, an international conference of this scale, with its coverage of wide-ranging subjects and size of broad participants from various disciplines across the world, would not have been possible without the collective efforts of many. We would like to thank the program committee, of 50 members from 29 countries, for helping establish the rich program. The Local Organizing Committee: Eunice Carrasquinha (Co-chair, CEAUL-FCUL), Ivette Gomes (Co-chair, CEAUL-FCUL), Tiago Marques (University of St Andrews, UK), Teresa A. Oliveira (Co-chair, CEAUL and Universidade Aberta), Soraia Pereira (CEAUL, Universidade de Lisboa), Giovani Silva (IST, CEAUL, Universidade de Lisboa), Lisete Sousa (Universidade de Lisboa), have contributed their tremendous effort and time in every aspect of this endeavor, from helping organize sessions, finding conference venue to all the logistics up to the very last minute, including banquet and tours. In particular, Ivette and Teresa brilliantly turned the messy and long conference program into a beautifully organized program book. Our heartfelt thanks also go to Elyse Gustafson (IMS Executive Director) for her working overtime on the financial issues and other related formalities on behalf of the IMS, and to Arlene Gray (Administrator, ICSDS) for her patiently taking care of the nonstop inquiries and tracking numerous responses and requests from the participants and the conference organizing team. Finally, we would be remiss not to acknowledge the invaluable contributions behind the scenes from Min Xu (IMS, Rutgers University), from setting up and managing the conference website, negotiating IT support with the conference venue, to setting up the program and readying all the slides. He bravely and efficiently met head on all kinds of unexpected challenges, technical as well as personal. It suffices to say that Min did all the heavy-lifting to make the conference program a reality for us all to enjoy.
- Viewing puzzles as two-faced: theoretical and practical implications for Puzzle-based LearningPublication . Fontes, Mario Madureira; Morgado, Leonel; Pestana, Pedro Duarte; Pedrosa, Daniela; Cravino, JoséThe Puzzle-based Learning approach has been applied to several fields of knowledge. In education research papers, the instructional usage of puzzles is considered to improve learners’ motivation and engagement and help them to develop critical skills but difficulties concerning learners’ interaction with puzzles have also been pointed out. Our paper investigates the dynamics of the concept of a puzzle and its interface to provide a better understanding of its form and functions, and help learners interact with puzzles. We consider Puzzle-based Learning tenets as well as their educational impacts on both critical thinking and learner engagement and provide an original proposal concerning the understanding of puzzles. Our proposal centered on the dynamics of puzzles bears conceptual and educational facets. Conceptually, puzzle dynamics is viewed as composed of two elements: a mechanism, the Puzzle Trigger, and a process, the Puzzle-Solving. From an educational point of view, the rationale for integrating Puzzle Triggers in Puzzle-based Learning is meant to help learners interact with puzzles and consequently become motivated and engaged in the Puzzle-Solving process. This way, learners’ critical thinking skills are reinforced and focused on finding solutions to challenges. We illustrate the implementation of Puzzle Triggers and Puzzle-Solving by considering two instructional activities in a Software Development undergraduate course of an online learning Informatics Engineering Program.
- Metacognitive challenges to support self-reflection of students in online software engineering educationPublication . Pedrosa, Daniela; Fontes, Mario Madureira; Araújo, Tânia; Morais, Ceres Germanna Braga; Bettencourt, Teresa; Pestana, Pedro Duarte; Morgado, Leonel; Cravino, JoséSoftware engineering education requires students to develop technical knowledge and advanced cognitive and behavioral skills, particularly in the transition from novice to proficient. In distance learning, the hurdles are greater because students require greater autonomy, adopting strategies of self and co-regulation of learning. Facing these challenges, the SimProgramming approach has been transposed into the context of DL: e-SimProgramming. In the second iteration of e-SimProgramming implementation (2019/2020), one adaptation was inclusion of metacognitive challenges (MC) to promote students’ self-reflection on their learning process. We explain the design of the two types of implemented MCs. We provide qualitative and quantitative analysis of: 1) evolution of MCs submission throughout the semester, identifying regularity and completion within deadlines and their relationship to student success; 2) students’ perceptions of MCs. Results show a positive correlation between high MC submission and student success, greater interest and involvement of students in type 2 MCs and positive perceptions of students about MCs.
- Factors affecting cloud computing adoption in the education context: systematic literature reviewPublication . Santos, António; Martins, José; Gonçalves, Ramiro; São Mamede, Henrique; Branco, Frederico; Pestana, Pedro DuarteThis systematic literature review investigates the factors influencing cloud computing adoption within both educational and organizational settings. By synthesizing a comprehensive body of research, this study finds and analyzes the determinants that shape the decision-making process about cloud technology adoption. Security, cost-effectiveness, scalability, interoperability, and regulatory compliance are examined across educational institutions and organizational contexts. Additionally, socio-economic, political, and technological factors specific to each context are explored to provide a nuanced understanding of the challenges and opportunities associated with cloud computing adoption. The review reveals commonalities and differences in adoption drivers and barriers between education and organizational environments, offering insights into tailored strategies for effective implementation. This research contributes to the existing literature by shedding light on the multifaceted nature of cloud adoption and offering valuable guidance for educators, organizational leaders, policymakers, and technology providers looking to use cloud computing to enhance operations and services.
- The future soundscape: how pierre schaeffer's radical ideas still need to shape musicPublication . Pestana, Pedro Duarte
- BetaBoop function, BetaBoop random variables and extremal population growthPublication . Brilhante, Maria de Fátima; Pestana, Pedro Duarte; Lovric, MiodragBetaBoop Function, BetaBoop Random Variables and Extremal Population Growth - Dictionary Entry
- Measuring the risk of vulnerabilities exploitationPublication . Brilhante, Maria de Fátima; Pestana, Dinis; Pestana, Pedro Duarte; Rocha, Maria LuísaModeling the vulnerabilities lifecycle and exploitation frequency are at the core of security of networks evaluation. Pareto, Weibull, and log-normal models have been widely used to model the exploit and patch availability dates, the time to compromise a system, the time between compromises, and the exploitation volumes. Random samples (systematic and simple random sampling) of the time from publication to update of cybervulnerabilities disclosed in 2021 and in 2022 are analyzed to evaluate the goodness-of-fit of the traditional Pareto and log-normal laws. As censoring and thinning almost surely occur, other heavy-tailed distributions in the domain of attraction of extreme value or geo-extreme value laws are investigated as suitable alternatives. Goodness-of-fit tests, the Akaike information criterion (AIC), and the Vuong test, support the statistical choice of log-logistic, a geomax stable law in the domain of attraction of the Fréchet model of maxima, with hyperexponential and general extreme value fittings as runners-up. Evidence that the data come from a mixture of differently stretched populations affects vulnerabilities scoring systems, specifically the common vulnerabilities scoring system (CVSS).
- Generalized beta models and population growth: so many routes to chaosPublication . Brilhante, Maria de Fátima; Gomes, Maria Ivette; Mendonça, Sandra; Pestana, Dinis; Pestana, Pedro DuarteLogistic and Gompertz growth equations are the usual choice to model sustainable growth and immoderate growth causing depletion of resources, respectively. Observing that the logistic distribution is geo-max-stable and the Gompertz function is proportional to the Gumbel max-stable distribution, we investigate other models proportional to either geo-max-stable distributions (log- logistic and backward log-logistic) or to other max-stable distributions (Fréchet or max-Weibull). We show that the former arise when in the hyper-logistic Blumberg equation, connected to the Beta (p, q) function, we use fractional exponents p − 1 = 1 ∓ 1/α and q − 1 = 1 ± 1/α, and the latter when in the hyper-Gompertz-Turner equation, the exponents of the logarithmic factor are real and eventually fractional. The use of a BetaBoop function establishes interesting connections to Probability Theory, Riemann–Liouville’s fractional integrals, higher-order monotonicity and convexity and generalized unimodality, and the logistic map paradigm inspires the investigation of the dynamics of the hyper- logistic and hyper-Gompertz maps.
- Greeks’ Sphere: a three-dimensional visualization grammar for financial optionsPublication . Asiaín, Luís; Pestana, Pedro DuarteWe introduce the Greeks’ Sphere, a technology‐agnostic 3D visualization grammar that unifies the principal option sensitivities—delta (Δ), gamma (Γ), theta (Θ), and vega (𝑣)—with strike and time to maturity in a single coherent structure. The scheme is built around an underlying sphere and a cutting plane tied to implied volatility: Δ maps to radial wireframe displacement, Γ to smooth procedural mesh undulation (Perlin noise), Θ to mesh opacity, and 𝑣 to an arc along the cutting section anchored to the plane. A reference prototype instantiates the grammar on option data and enables interactive scans by strike and maturity with stable scales and clearly separated channels, supporting integrated reasoning about multi‐Greek behaviour. The prototype exists solely to probe the grammar; implementation choices and data sources are incidental to the model, which is intended to be replicated in other environments. Our contribution is the conceptual grammar itself—transferable across implementation stacks—rather than any specific software artefact.