Estado del arte para la elaboración de pruebas utilizando el procesamiento de lenguaje natural en el área de física y matemática

Abstract

These state-of-the-art reviews current research on the use of natural language processing (by its acronym NLP in English) in the creation of tests in college-level subjects of physics and mathematics. The results show that researchers are aware of the need to automate test creation in e-learning systems and see machine learning as a promising solution. The findings of this state-of-the-art analysis provide insights into research in the field of evidence generation in physics and mathematics. These findings complement current information and serve as the basis for research and progress in the field of educational assessment.