Examinando por Materia "Aprendizaje virtual"

Mostrando 1 - 2 de 2
  • No hay miniatura disponible
    Ítem
    Proceso de ASC - HERRAMIENTAS DE APRENDIZAJE EXITOSAS PARA MEJORAR LA EXPERIENCIA DE LOS ESTUDIANTES EN LAS CLASES VIRTUALES
    (Universidad EAFIT, 2021) Vidal, Alejandra; Garcés, Carolina; Barreneche, Estefanía; Cardona, Mariana; Sosa, Miguel; Torres, Santiago; Jaraba, Sofia; Carvajal, Valentina; Tobón, Valentina; Universidad EAFIT
    During 2020, Universidad EAFIT experienced a forced transition from in-person learning to virtual learning; during this period, all courses were conducted remotely. The Research Seedbed on Innovation and Entrepreneurship at Universidad EAFIT decided to address three major challenges identified during the emergency remote courses: (a) a feeling of disconnection from professors and classmates, (b) student demotivation towards their learning process, and (c) mental health issues among both professors and students. Using virtual learning tools that encourage youth participation can counteract these problems; however, not all university teachers are proficient in using these tools. This research proposal aims to identify successful learning tools and how professors have used them to ensure students achieve learning outcomes. A qualitative research approach will be employed, comprising a bibliographic component to trace documented experiences and an exploratory component involving interviews and surveys to investigate which educational experiences have been most well-received by some students at the University. The research is expected to provide tools and recommendations to help teachers improve the dynamics of virtual classes and assist those inexperienced in virtual teaching methodologies in adapting their classes to this new dynamic.
  • No hay miniatura disponible
    Ítem
    VTA/LRS : una aproximación a la implementación de un asistente virtual como herramienta de soporte al proceso de enseñanza
    (Universidad EAFIT, 2023) Vera Toro, Lucas; Montoya Mendoza, Juan Carlos
    In the learning process, educators face challenges in assessing the level of attention of their students in classes, a crucial metric for effectively implementing active learning activities that improve learning outcomes. This challenge is even more pronounced in a virtual environment, as the issue is exacerbated by the lack of proximity found in a traditional classroom. This study addresses this difficulty, exploring the current barriers in measuring attention levels and proposing a digital tool capable of non-intrusively measuring and displaying this level of attention. The tool, built from a specifically designed architecture, has the ability to capture, store, and visually display the attention level of each student participating in a virtual class. A prototype was built from this architecture, which also integrates a Natural Language Processing service, specifically using the GPT-4 language model, to suggest active learning activities to the teacher. For future work, it is proposed to expand the prototype so that it can be useful for students, as well as to verify its usefulness in other contexts such as conferences or talks.