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    Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10259/9942

    Título
    Automatic Generation of Moodle Cloze Questions for the Assessment of Knowledge About Lexical Analysis Algorithms
    Autor
    Izquierdo Amo, Roberto
    Barbero Aparicio, José AntonioUBU authority Orcid
    Garrido Labrador, José LuisUBU authority Orcid
    Olivares Gil, AliciaUBU authority Orcid
    García Osorio, CésarUBU authority Orcid
    Publicado en
    Education Sciences. 2025, V. 15, n. 1, p. 75
    Editorial
    MDPI
    Fecha de publicación
    2025-01
    DOI
    10.3390/educsci15010075
    Abstract
    Moodle quizzes are a convenient way of online assessment, benefiting both teachers and students. Unfortunately, their preparation is slow, cumbersome, and error-prone. In addition to the effort of designing the questions, it is necessary to enter them in Moodle. Furthermore, for questions that require images, these must first be created and then uploaded to Moodle. If this process has to be repeated with many questions, the required work becomes prohibitive. This paper presents a tool that solves all these problems, allowing the automatic and massive generation of questions for the evaluation of the knowledge about lexical analysis algorithms. The evaluation of these algorithms is relevant in the subjects of both automata and formal languages and in those of compiler design. The tool allows the creation of exercises of configurable complexity, after which the text, tables, and associated images are generated for quick upload to Moodle. The main impact of this tool is the substantial reduction of question preparation time, reducing hundreds or thousands of interactions with Moodle forms to just a few simple steps. In addition, the ease of question generation makes it possible to prepare self-assessment questionnaires for the students, something that they greatly appreciate as a study aid.
    Palabras clave
    Moodle quizzes
    Continuous assessment
    Cloze questions
    Quiz generation
    Finite state automata
    Regular expressions
    Genetic programming
    Materia
    Enseñanza superior
    Education, Higher
    Informática
    Computer science
    URI
    http://hdl.handle.net/10259/9942
    Versión del editor
    https://doi.org/10.3390/educsci15010075
    Collections
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    Atribución 4.0 Internacional
    Documento(s) sujeto(s) a una licencia Creative Commons Atribución 4.0 Internacional
    Files in this item
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    izquierdo-es_2025.pdf
    Tamaño:
    2.657Mb
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