Twisted Games: A First Experience of Inclusion of AI tools in First Year Programming Classes

Producción científica: Capítulo en Libro/InformeContribución a la conferencia

Resumen

The recent rapid advancements in Large Language Models (LLMs) and the increasing availability of AI-powered tools have underscored the need for the current generation of programmers to learn how to effectively collaborate with AI from the early stages of their university education. This paper explores the integration of AI tools into a first-year programming course through the implementation of modified classic games (4 in a row with L-shapes, 3-player Battleship, etc.). The primary objective of this study was to assess the impact of AI assistance on students' ability to define and adapt requirements for novel software applications, while also fostering an understanding of the power and limitations of AI in the classroom. The results reveal a positive student experience, with participants reporting increased confidence in utilizing AI tools for requirements elicitation and recognizing the potential benefits for their future careers. In addition, it highlighted the need to train students in developing skills for requirement identification, prompt creation, and testing and debugging the code.

Idioma originalInglés estadounidense
Título de la publicación alojada2024 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2024 - Proceedings
EditoresAlvaro David Orjuela-Canon
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9798350374575
DOI
EstadoPublicada - 2024
Evento2024 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2024 - Bogota, Colombia
Duración: nov. 13 2024nov. 15 2024

Serie de la publicación

Nombre2024 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2024 - Proceedings

Conferencia

Conferencia2024 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2024
País/TerritorioColombia
CiudadBogota
Período11/13/2411/15/24

Áreas temáticas de ASJC Scopus

  • Inteligencia artificial
  • Informática aplicada
  • Visión artificial y reconocimiento de patrones
  • Seguridad, riesgos, fiabilidad y calidad

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