TY - GEN
T1 - Twisted Games
T2 - 2024 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2024
AU - Wightman, Pedro
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85216519283
UR - https://www.scopus.com/inward/citedby.url?scp=85216519283&partnerID=8YFLogxK
U2 - 10.1109/LA-CCI62337.2024.10814750
DO - 10.1109/LA-CCI62337.2024.10814750
M3 - Conference contribution
AN - SCOPUS:85216519283
T3 - 2024 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2024 - Proceedings
BT - 2024 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2024 - Proceedings
A2 - Orjuela-Canon, Alvaro David
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 13 November 2024 through 15 November 2024
ER -