Examinando por Autor "Monsalves, Diego"

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    Ítem
    Can Analytics of Speaking Time Serve as Indicators of Effective Team Communication and Collaboration?
    (ACM, 2021) Salinas, Omar; Riquelme, Fabian; Muñoz, Roberto; Cechinel, Cristian; Martinez, Roberto; Monsalves, Diego
    People with effective teamwork skills, such as collaboration or leadership, are highly demanded in the workplace. In turn, educational providers have adopted active learning methodologies, such as collaborative problem-solving. However, the objective evaluation of collaboration at scale still is a challenge. This paper explores the relationship between quantitative measures obtained from automated transcriptions of speech and qualitative indicators of effective collaboration. An omnidirectional microphone and an artificial intelligence algorithm were used to collect speaking data from 20 triads of students discussing and building a concept map. The study focused on validating the potential value of speech recording devices to quantify the dynamics of communication networks by comparing quantitative metrics obtained from them with an established rating scheme for measuring the extent of collaboration. Results showed a relationship between the standard deviations of the speaking times of the participants in each group and the evaluation obtained from the qualitative rubrics of communication and interpersonal relationships. Thus, the extent to which all group members contribute to the discourse can potentially serve as an indicator of effective group work.
  • Miniatura
    Ítem
    MMLA approach to analyze collaborative work in Lego Serious Play activities
    (IEEE, 2021) Ponce-Sandoval, Aaron; Monsalves, Diego; Riquelme, Fabián; Cornide-Reyes, Héctor
    Today, the training of professionals has the enormous challenge of covering both the development of professional skills and soft skills. In the educational field of software engineering, teachers should be supported by technology to facilitate the monitoring and development of these skills in students. The use of technology should help teachers to fulfill their role as facilitators of learning and students to become active agents of their learning. In this paper, we present Naira-Hand, as a new approach to multimodal learning analytics that facilitates the analysis of collaborative work conducted with the Lego Serious Play methodology. The multimodal data are obtained through a neural network that processes a video of the activity. These multimodal data are then processed, and different visualizations allow us to observe the collaborative work from different perspectives. Even though health restrictions have prevented us from carrying out the planned experiments, we have obtained very positive results in the detection of people interactions and in visualizations, which allow us to obtain a panoramic view of the collaborative work developed by the students.