Using LSTM to Identify Help Needs in Primary School Scratch Students

Imbernón Cuadrado, L.E., Manjarrés Riesco, Á. y de la Paz López, Félix . (2023) Using LSTM to Identify Help Needs in Primary School Scratch Students. Applied Sciences

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Título Using LSTM to Identify Help Needs in Primary School Scratch Students
Autor(es) Imbernón Cuadrado, L.E.
Manjarrés Riesco, Á.
de la Paz López, Félix
Materia(s) Ingeniería Informática
Abstract first-in-class distance calculation method for block-based programming languages has been used in a Long Short-Term Memory (LSTM) model, with the aim of identifying when a primary school student needs help while he/she carries out Scratch exercises. This model has been trained twice: the first time taking into account the gender of the students, and the second time excluding it. The accuracy of the model that includes gender is 99.2%, while that of the model that excludes gender is 91.1%. We conclude that taking into account gender in training this model can lead to overfitting, due to the under-representation of girls among the students participating in the experiences, making the model less able to identify when a student needs help. We also conclude that avoiding gender bias is a major challenge in research on educational systems for learning computational thinking skills, and that it necessarily involves effective and motivating gender-sensitive instructional design.
Palabras clave distance education
language models (LMs)
LSTM model
teaching with Scratch
ethics in AI
Editor(es) MDPI
Fecha 2023-11-30
Formato application/pdf
Identificador bibliuned:95-Dlpfeliz-0001
DOI - identifier 10.3390/app132312869
ISSN - identifier 2076-3417
Nombre de la revista Applied Sciences
Número de Volumen 13
Publicado en la Revista Applied Sciences
Idioma eng
Versión de la publicación publishedVersion
Tipo de recurso Article
Derechos de acceso y licencia
Tipo de acceso Acceso abierto
Notas adicionales The registered version of this article, first published in Applied Sciences, is available online at the publisher's website: MDPI
Notas adicionales La versión registrada de este artículo, publicado por primera vez en Applied Sciences, está disponible en línea en el sitio web del editor: MDPI

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