Causal Analysis of Failure in a First-Year Course at a Chilean University Based on Programming Support Guides

Gaston Sepulveda, Billy Peralta, Pablo Schwarzenberg, Marcos Levano

Producción científica: Contribución a los tipos de informe/libroContribución a la conferenciarevisión exhaustiva

Resumen

This work investigates the causal correlation between the resolution of a programming guide and academic performance in an introductory programming course at Andrés Bello University in Chile. Specifically, we explore whether completing a guide comprising fifty-two exercises can predict first-year students' performance on the initial test of the course. In particular, we propose utilizing causal modelling framework to analyze and comprehend the impact of programming guides on student performance. The research encompasses a review of pertinent literature, a descriptive examination of collected data, and a discussion on both practical and theoretical implications.

Idioma originalInglés
Título de la publicación alojadaProceedings - 2024 50th Latin American Computing Conference, CLEI 2024
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9798331540975
DOI
EstadoPublicada - 2024
Evento50th Latin American Computing Conference, CLEI 2024 - Bahia Blanca, Argentina
Duración: 12 ago. 202416 ago. 2024

Serie de la publicación

NombreProceedings - 2024 50th Latin American Computing Conference, CLEI 2024

Conferencia

Conferencia50th Latin American Computing Conference, CLEI 2024
País/TerritorioArgentina
CiudadBahia Blanca
Período12/08/2416/08/24

Áreas temáticas de ASJC Scopus

  • Informática aplicada
  • Hardware y arquitectura
  • Redes de ordenadores y comunicaciones
  • Inteligencia artificial

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