Examinando por Materia "GPT-4"

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    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.