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 original | Inglés estadounidense |
|---|---|
| Título de la publicación alojada | 2024 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2024 - Proceedings |
| Editores | Alvaro David Orjuela-Canon |
| Editorial | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (versión digital) | 9798350374575 |
| DOI | |
| Estado | Publicada - 2024 |
| Evento | 2024 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2024 - Bogota, Colombia Duración: nov 13 2024 → nov 15 2024 |
Serie de la publicación
| Nombre | 2024 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2024 - Proceedings |
|---|
Conferencia
| Conferencia | 2024 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2024 |
|---|---|
| País/Territorio | Colombia |
| Ciudad | Bogota |
| Período | 11/13/24 → 11/15/24 |
ODS de las Naciones Unidas
Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible
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ODS 1: Fin de la pobreza
Áreas temáticas de ASJC Scopus
- Inteligencia artificial
- Informática aplicada
- Visión artificial y reconocimiento de patrones
- Seguridad, riesgos, fiabilidad y calidad
Huella
Profundice en los temas de investigación de 'Twisted Games: A First Experience of Inclusion of AI tools in First Year Programming Classes'. En conjunto forman una huella única.Citar esto
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