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- KUI '23. Proceedings of the 20th International Conference on Culture and Computer Science: code and materialityPublication . Olivero, Lucas Fabian; Araújo, António
- Enhancing the teaching of spherical perspective with spheriPublication . Olivero, Lucas Fabian; Araújo, AntónioSpherical perspectives and the practice of immersive drawing are going through a period of rapid development along with a concurrent growth of interest in their applications to various fields. The teaching of new practitioners must often be done in short workshops lateral to established curricula, which is a challenge due to the complexity of the subject. We present a digital tool for performative immersive drawing that can be instrumental in enabling a quick and informative transmission of the principles of immersive drawing to a student audience.
- Visão integrada do ensino-aprendizagem: aplicação do modelo da Universidade AbertaPublication . Cavique, LuísA educação aberta e em rede da Universidade Aberta é composta por um conjunto de idiossincrasias que não são percetíveis de imediato pelos novos docentes vindos de universidades presenciais ou por avaliadores da A3ES (Agência de Avaliação e Acreditação do Ensino Superior). Neste trabalho apresentam-se os conceitos essenciais da Educação a Distância (EaD) com o menor de vocábulos e evitando sinónimos. No processo de ensino-aprendizagem o papel do professor em contexto digitais é detalhado e a noção de aprendizagem é discutida. Apresenta-se uma taxonomia do ensino com ênfase na prática em comunidades virtuais.
- A data science maturity model applied to students' modelingPublication . Cavique, Luís; Pombalinho, Paulo; Correia, LuísMaturity models define a series of levels, each representing an increased complexity in information systems. Data Science appears in the Business Intelligence (BI) and Business Analytics (BA) literature. This work applies the _IABE maturity model, which includes two additional levels: Data Engineering (DE) at the bottom and Business Experimentation (BE) at the top. This study uses the _IABE model for students' modeling in the ModEst project. For this purpose, the Public Administration organism is the Directorate-General for Statistics of Education and Science (DGEEC) of the Portuguese Education Ministry. DGEEC provided vast data on two million students per year in the Portuguese school system, from pre-scholar to doctoral programs. This work presents the comprehensible _IABE maturity model to extract new knowledge from the DGEEC dataset. The method applied is _IABE, where after the DE level, wh-questions are formulated and answered with the most appropriate techniques at each maturity level. This work's novelty is applying the maturity model _IABE to a unique dataset for the first time. Wh-questions are stated at the BI level using data summarization; at the BA level, predictive models are performed, and counterfactual approaches are presented at the BE level.
- Guiding evacuees to Improve fire building evacuation efficiency: hazard and congestion models to support decision making by a context-aware recommender systemPublication . Coelho, António; Neto, Joaquim; Morais, A. Jorge; Gonçalves, Ramiro Ramos MoreiraFires in large buildings can have tragic consequences, including the loss of human lives. Despite the advancements in building construction and fire safety technologies, the unpredictable nature of fires, particularly in large buildings, remains an enormous challenge. Acknowledging the paramount importance of prioritising human safety, the academic community has been focusing consistently on enhancing the efficiency of building evacuation. While previous studies have integrated evacuation simulation models, aiding in aspects such as the design of evacuation routes and emergency signalling, modelling human behaviour during a fire emergency remains challenging due to cognitive complexities. Moreover, behavioural differences from country to country add another layer of complexity, hindering the creation of a universal behaviour model. Instead of centring on modelling the occupant behaviour, this paper proposes an innovative approach aimed at enhancing the occupants’ behaviour predictability by providing real-time information to the occupants regarding the most suitable evacuation routes. The proposed models use a building’s environmental conditions to generate contextual information, aiding in developing solutions to make the occupants’ behaviour more predictable by providing them with real-time information on the most appropriate and efficient evacuation routes at each moment, guiding the occupants to safety during a fire emergency. The models were incorporated into a context-aware recommender system for testing purposes. The simulation results indicate that such a system, coupled with hazard and congestion models, positively influences the occupants’ behaviour, fostering faster adaptation to the environmental conditions and ultimately enhancing the efficiency of building evacuations.