Logotipo del repositorio
  • Comunidades
  • Explorar Repositorio
    • Autores
    • Título
    • Materias
    • Fecha de publicación
  • Guías de ayuda
    • Sobre el repositorio
    • Guía de autoarchivo
    • Preguntas frecuentes
    • English
    • Español
    • Iniciar sesión
      ¿Nuevo Usuario? Pulse aquí para registrarse¿Has olvidado tu contraseña?
    1. Inicio
    2. Buscar por autor

    Examinando por Autor "Rojas, Camila"

    Mostrando 1 - 1 de 1
    Resultados por página
    Opciones de ordenación
    • Cargando...
      Miniatura
      Ítem
      The Formation of Collaborative Learning Teams in Schools Through Mathematical Optimization for Improving the Classroom Climate
      (IEEE, 2026) Candia-Véjar Alfredo; Faúndez, Álvaro; Rojas, Camila; Jeria, Isidora; Benítez, Natacha; Tupper, María Ignacia; Inostroza, Romina; Bellenger, Etienne; Pérez-Galarce, Francisco
      School climate plays a fundamental role in teaching and learning processes, directly influencing the achievement of educational objectives. Moreover, climate-related issues often manifest as bullying, which remains a persistent challenge for education systems worldwide. In this context, teamwork emerges as a key strategy to foster student interaction, strengthen friendship networks, and reduce bullying and aggression. However, traditional team assignment methods—such as student self-selection, teacher allocation, or random distribution—fail to account for the complexity of student interactions and individual characteristics. This study introduces a web-based decision support system designed to assist in team formation within educational settings by utilizing optimization models and algorithms, thereby promoting a more interconnected and inclusive student network. The models incorporate factors such as team diversity, victim protection, and student preferences. Its primary input is a social network along with derived metrics (e.g., betweenness centrality and triadic relationships), which feed into three non-linear integer optimization models that aim to consolidate, create, or enhance student interpersonal relationships. Additionally, the models were evaluated through a large quasi-experiment using both quantitative and qualitative analyses across four dimensions particularly relevant to educational activities: team dynamics, attitude toward the team, team cohesion, and team performance. Empirical results demonstrate that it is possible to improve the classroom climate without compromising the four team-related dimensions. This collaborative learning technology serves as a valuable resource for enhancing collaborative educational strategies and fostering a more inclusive and supportive classroom environment.
    facebookinstagramtwitterYoutubelinkedin

    La Universidad

    • Normativa Institucional
    • Modelo Formativo
    • Planificación Estratégica
    • Transparencia
    • Acreditación
    • Imagen Corporativa

    Unidades

    • Vinculación con el Medio
    • Investigación
    • Internacional
    • Desarrollo y Relaciones Institucionales

    Servicios

    • Matrícula
    • Financiamiento
    • Biblioteca
    • Pago Online
    • Certificados en línea
    • Bolsa de trabajo Alumni

    Programas

    • Carreras Diurnas
    • Carreras Vespertinas
    • Cursos
    • Diplomados
    • Magíster
    • Especialidades

    Contáctanos

    • Avda. Pedro de Valdivia 1509
      Providencia, Santiago
    • Código Postal: 7501015
    • +56 2 24207100