Towards the Assessment of Basic Computational Thinking Skills Using Syntactic Analysis Techniques

Antonio Gonzalez-Torres, Elliot Ramirez-Trejos, Lilliana Sancho-Chavarria, Jose Navas-Su, Cesar Garita, Jorge Monge-Fallas

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

This article introduces an exploratory method for automatically grading programming exam questions using syntactic analysis. The target problem is the lack of a robust, scalable, and automated method to analyze computational thinking skills from source code written by elementary school students. The proposed method uses a variety of techniques to assess student responses, including analyzing the programming structure, programming correctness, and code execution based on certain parameters defined during the exercise specification. Analysis of the source code and evaluation of the answers to the exercises are carried out using high performance computing to improve the response time of the system. This preliminary work will contribute to a robust method for automated exam scoring, which is expected to assess and support the development of computational thinking among students.

Idioma originalInglés
Título de la publicación alojadaProceedings - 2023 Congress in Computer Science, Computer Engineering, and Applied Computing, CSCE 2023
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas1090-1095
Número de páginas6
ISBN (versión digital)9798350327595
DOI
EstadoPublicada - 2023
Evento2023 Congress in Computer Science, Computer Engineering, and Applied Computing, CSCE 2023 - Las Vegas, Estados Unidos
Duración: 24 jul 202327 jul 2023

Serie de la publicación

NombreProceedings - 2023 Congress in Computer Science, Computer Engineering, and Applied Computing, CSCE 2023

Conferencia

Conferencia2023 Congress in Computer Science, Computer Engineering, and Applied Computing, CSCE 2023
País/TerritorioEstados Unidos
CiudadLas Vegas
Período24/07/2327/07/23

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