Browsing by Author "Martins, Constantino"
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- Adaptation model for PCMAT – Mathematics collaborative learning platformPublication . Fernandes, Marta; Martins, Constantino; Faria, Luiz; Couto, Paulo; Valente, Cristiano; Bastos, Cristina; Costa, Fátima; Carrapatoso, EuricoThe aim of this paper is to present an adaptation model for an Adaptive Educational Hypermedia System, PCMAT. The adaptation of the application is based on progressive self-assessment (exercises, tasks, and so on) and applies the constructivist learning theory and the learning styles theory. Our objective is the creation of a better, more adequate adaptation model that takes into account the complexities of different users.
- AIRDOC: Smart mobile application for individualized support and monitoring of respiratory function and sounds of patients with chronic osbtructive diseasePublication . Almeida, Rute; Amaral, Rita; Jácome, Cristina; Martinho, Diogo; Vieira-Marques, Pedro; Jacinto, Tiago; Ferreira, Ana; Almeida, Ana; Martins, Constantino; Pereira, Mariana; Pereira, Ana; Valente, José; Almeida, Rafael; Vieira, Ana; Amaral, Rita; Sá-Sousa, Ana; Gonçalves, Ivânia; Rodrigues, Pedro; Alves-Correia, Magna; Freitas, Alberto; Marreiros, GoretiCurrent tools for self-management of chronic obstructive respiratory diseases (CORD) are difficult to use, not individualized and requiring laborious analysis by health professionals, discouraging their use in healthcare. There is an opportunity for cost-effective and easy-to-disseminate advanced technological solutions directed to patients and attractive to different stakeholders. The strategy of AIRDOC is to develop and integrate self-monitoring and self-managing tools, making use of the smartphone's presence in everyday life. AIRDOC intends to innovate on: i) technologies for remote monitoring of respiratory function and computerized lung auscultation; ii) coaching solutions, integrating psychoeducation, gamification and disease management support systems; and iii) management of personal health data, focusing on security, privacy and interoperability. It is expected that AIRDOC results will contribute for the innovation in CORD healthcare, with increased patient involvement and empowerment while providing quality prospective information for better clinical decisions, allowing more efficient and sustainable healthcare delivery.
- Content adaptation for an adaptive hypermedia systemPublication . Fernandes, Marta; Couto, Paulo; Martins, Constantino; Faria, LuizThe aim of this paper is presenting the recommendation module of the Mathematics Collaborative Learning Platform (PCMAT). PCMAT is an Adaptive Educational Hypermedia System (AEHS), with a constructivist approach, which presents contents and activities adapted to the characteristics and learning style of students of mathematics in basic schools. The recommendation module is responsible for choosing different learning resources for the platform, based on the user's characteristics and performance. Since the main purpose of an adaptive system is to provide the user with content and interface adaptation, the recommendation module is integral to PCMAT’s adaptation model.
- A hybrid recommendation approach for a tourism systemPublication . Lucas, Joel P.; Luz, Nuno; Moreno, María; Anacleto, Ricardo; Almeida, Ana; Martins, ConstantinoMany current e-commerce systems provide personalization when their content is shown to users. In this sense, recommender systems make personalized suggestions and provide information of items available in the system. Nowadays, there is a vast amount of methods, including data mining techniques that can be employed for personalization in recommender systems. However, these methods are still quite vulnerable to some limitations and shortcomings related to recommender environment. In order to deal with some of them, in this work we implement a recommendation methodology in a recommender system for tourism, where classification based on association is applied. Classification based on association methods, also named associative classification methods, consist of an alternative data mining technique, which combines concepts from classification and association in order to allow association rules to be employed in a prediction context. The proposed methodology was evaluated in some case studies, where we could verify that it is able to shorten limitations presented in recommender systems and to enhance recommendation quality.
- Instrumentos para transformar a experiência de aprendizagem: contexto do ensino superiorPublication . Jesus, Ângelo; Silva, Armando; Silva, Cândida; Martins, Constantino; Oliveira, Lino; Faria, Luiz; Peres, Paula; Oliveira, Paulo; Lima, VandaO presente livro aborda um conjunto de instrumentos pedagógicos que podem ser usados para potenciar as experiências de aprendizagem em contexto de ensino a distância. O livro destina-se quer a docentes, quer a estudantes. Os docentes podem encontrar no livro informação sobre técnicas e ferramentas que permitam melhorar as experiências de aprendizagem. Os estudantes, como destinatários do processo de aprendizagem, poderão também usufruir do conteúdo do livro, permitindo que estes tenham acesso às técnicas e ferramentas a que terão acesso durante o seu processo de aprendizagem.
- Intelligent recommendation system for e-learning platformsPublication . Tavares, Bruno; Faria, Luiz; Martins, ConstantinoAs more and more digital resources are available, finding the appropriate document becomes harder. Thus, a new kind of tools, able to recommend the more appropriated resources according the user needs, becomes even more necessary. The current project implements an intelligent recommendation system for elearning platforms. The recommendations are based on one hand, the performance of the user during the training process and on the other hand, the requests made by the user in the form of search queries. All information necessary for decision-making process of recommendation will be represented in the user model. This model will be updated throughout the target user interaction with the platform.
- Learning objects recommendation in an adaptive educational hypermedia systemPublication . Fernandes, Marta; Couto, Paulo; Martins, Constantino; Faria, Luiz; Bastos, Cristina; Costa, FátimaThe aim of this paper is presenting the modules of the Adaptive Educational Hypermedia System PCMAT, responsible for the recommendation of learning objects. PCMAT is an online collaborative learning platform with a constructivist approach, which assesses the user’s knowledge and presents contents and activities adapted to the characteristics and learning style of students of mathematics in basic schools. The recommendation module and search and retrieval module choose the most adequate learning object, based on the user's characteristics and performance, and in this way contribute to the system’s adaptability.
- Lightweight user modeling – a case studyPublication . Luz, Nuno; Anacleto, Ricardo; Martins, Constantino; Almeida, AnaIn the context of previous publications, we propose a new lightweight UM process, intended to work as a tourism recommender system in a commercial environment. The new process tackles issues like cold start, gray sheep and over specialization through a rich user model and the application of a gradual forgetting function to the collected user action history. Also, significant performance improvements were achieved regarding the previously proposed UM process.
- Mobile application for self-management in Schizophrenia: A pilot studyPublication . Simões de Almeida, Raquel; Couto, Ana; Da Silva Marques, António; Queirós, C. L.; Martins, ConstantinoThere is an urgent need to develop more effective interventions for psychotic disorders. Mobile Health solutions can address this emerging problem but needs more research. This study aims to present a new intervention and have some preliminary data about weCOPE. The sample is constituted by nine participants with a mean age of 38 years (±9.701), being 78% men, and with mean clinical follow-up time of 10 years. The intervention lasted eight weeks and was followed by each user's case manager. The data collection was carried out in two moments (before and after the application use), using six evaluation instruments: Recovery Assessment Scale, Empowerment Scale, General Self-Efficacy Scale, Social Support Satisfaction Scale, Personal and Social Performance Scale, and Positive and Negative Syndrome Scale. The data collected through these instruments were analyzed later through descriptive and inferential statistics. The majority of the results were significant and indicate that weCOPE may produce an improvement in symptoms (general psychopathology), empowerment, recovery, satisfaction with social support, self-efficacy, and personal and social functioning. Thus, this kind of mobile technologies for schizophrenia self-management may contribute to a subjective perception of the patient's better well-being and health condition.
- Mobile application to support children with anxiety disordersPublication . Fonseca, Nuno; Almeida, Ana; Moreno, Maria; Simões De Almeida, Raquel; Faria, Luiz; Marques, António da Silva; Matos, Paulo; Rocha, Pedro; Martins, ConstantinoThis paper describes WEBECOOL, a hybrid web/mobile application with the purpose of improving the self-management of anxiety disorders. The development of WEBECOOL was driven by a multidisciplinary collaboration between computing engineers, psychologists and psychiatrics. The first stage of the web/mobile application test was performed to assess the satisfaction with the technological proposal. Also, several components were identified as crucial and were employed in WEBECOOL: stress management, problem solving, medication adherence, symptoms monitoring and social interaction. WEBECOOL also pretends to include caregivers in the process, with the purpose of implementing better help therapy strategies.