Abstract
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.
| Original language | English (US) |
|---|---|
| Title of host publication | 2024 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2024 - Proceedings |
| Editors | Alvaro David Orjuela-Canon |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350374575 |
| DOIs | |
| State | Published - 2024 |
| Event | 2024 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2024 - Bogota, Colombia Duration: Nov 13 2024 → Nov 15 2024 |
Publication series
| Name | 2024 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2024 - Proceedings |
|---|
Conference
| Conference | 2024 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2024 |
|---|---|
| Country/Territory | Colombia |
| City | Bogota |
| Period | 11/13/24 → 11/15/24 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 1 No Poverty
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Science Applications
- Computer Vision and Pattern Recognition
- Safety, Risk, Reliability and Quality
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