Enviaments recents

  • Measuring motivation from the Virtual Learning Environment in secondary education 

    Aluja Banet, Tomàs; Sancho Samsó, María Ribera; Vukic, Ivan (Elsevier, 2019-09-01)
    Article
    Accés restringit per política de l'editorial
    The increase of student’s disengagement is a problem in many developed countries’ educational systems. This paper presents our approach on how the usage of VLEs (Virtual Learning Environments) can be traced and used to ...
  • Adaptive task-oriented chatbots using feature-based knowledge bases 

    Campàs Gené, Carla; Motger de la Encarnación, Joaquim; Franch Gutiérrez, Javier; Marco Gómez, Jordi (Springer, 2023)
    Comunicació de congrés
    Accés restringit per política de l'editorial
    Task-oriented chatbots relying on a knowledge base for domain-specific content exploitation have been largely addressed in research and industry applications. Despite this, multiple challenges remain to be fully conquered, ...
  • Comparision of models built using AutoML and data fusion 

    Haq, Anam; Wilk, Szymon; Abelló Gamazo, Alberto (Springer, 2022)
    Text en actes de congrés
    Accés obert
    Automated machine learning (AutoML) has made life easier for data analysts or scientists by providing quick insights into data by building machine learning (ML) models. AutoML techniques are applied to vast areas from image ...
  • Towards green AI-based software systems: an architecture-centric approach (GAISSA) 

    Martínez Fernández, Silverio Juan; Franch Gutiérrez, Javier; Durán López, Francisco Javier (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Text en actes de congrés
    Accés obert
    Nowadays, AI-based systems have achieved out-standing results and have outperformed humans in different domains. However, the processes of training AI models and inferring from them require high computational resources, ...
  • Metrics for code smells of ML pipelines 

    Costal Costa, Dolors; Gómez Seoane, Cristina; Martínez Fernández, Silverio Juan (Springer, 2023)
    Comunicació de congrés
    Accés restringit per política de l'editorial
    ML pipelines, as key components of ML systems, shall be developed following quality assurance techniques. Unfortunately, it is often the case in which they present maintainability issues, due to the experimentatal nature ...
  • Insights from using goal models for teaching data structures 

    Ruiz, Marcela; Franch Gutiérrez, Javier (CEUR-WS.org, 2023)
    Text en actes de congrés
    Accés obert
    Previous research has shown the feasibility of using goal models as a notation to describe data structures. Such results motivated further empirical research to elucidate the extent to which teaching data structures using ...
  • Which design decisions in AI-enabled mobile applications contribute to greener AI? 

    Creus Castanyer, Roger; Martínez Fernández, Silverio Juan; Franch Gutiérrez, Javier (Springer Nature, 2024)
    Article
    Accés restringit per política de l'editorial
    Background: The usage of complex artificial intelligence (AI) models demands expensive computational resources. While currently, available high-performance computing environments can support such complexity, the deployment ...
  • Learning analytics’ privacy in the fog and edge computing: a systematic mapping review 

    Amo Filvà, Daniel; Fonseca Escudero, David; García Peñalvo, Francisco José; Alier Forment, Marc; Casany Guerrero, María José (Springer Nature, 2022)
    Comunicació de congrés
    Accés restringit per política de l'editorial
    The educational context that integrates Learning Analytics processes presents a high fragility in the data processing. In addition, using analytical technologies in cloud computing adds new drawbacks that increase such ...
  • The maker movement in engineering education: A partial literature review of the research opportunities on competency development 

    Saavedra Munar, Leonardo; Alier Forment, Marc (Springer Nature, 2022)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    This paper presents a partial review of the literature related to the maker movement, its inclusion in engineering education and the way in which this insertion contributes on the development of skills. Initially, it is ...
  • Hyperparameter optimization for AST differencing 

    Martínez Martínez, Matías-Sebastián; Falleri, Jean Rémy; Monperrus, Martin (2023-10-01)
    Article
    Accés obert
    Computing the differences between two versions of the same program is an essential task for software development and software evolution research. AST differencing is the most advanced way of doing so, and an active research ...
  • Reproducible experiments for generating pre-processing pipelines for AutoETL 

    Giovanelli, Joseph; Bilalli, Besim; Abelló Gamazo, Alberto; Silva Coira, Fernando; de Bernardo Roca, Guillermo (Elsevier, 2024-02)
    Article
    Accés restringit per política de l'editorial
    This work is a companion reproducibility paper of the experiments and results reported in Giovanelli et al. (2022), where data pre-processing pipelines are evaluated in order to find pipeline prototypes that reduce the ...
  • Roleplay ethical debates, an activity to learn to apply ethical theories to dilemmas and improve critical thinking 

    Casany Guerrero, María José; Alier Forment, Marc (Springer Nature, 2022)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    The teaching of ethics in engineering curriculums is gaining impor- tance and relevance, especially in disciplines related to computer science, software engineering, data science and artificial intelligence. This paper ...

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