Muestra métricas de impacto externas asociadas a la publicación. Para mayor detalle:
| Indexado |
|
||
| DOI | 10.1109/SCCC59417.2023.10315744 | ||
| Año | 2023 | ||
| Tipo |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
Programming typically involves humans formulating instructions for a computer to execute computations. If we adhere to this definition, a machine would seemingly lack the capability to autonomously design algorithms. However, recent generative Artificial Intelligence models, such as GPT, have demonstrated an impressive ability to perform complex human tasks with remarkable precision. In this paper, we initially showcase how an AI model can successfully complete an entire college-level programming course, akin to one of the top-performing students in the class. We then put forward strategies for crafting programming exercises that enable educators to effectively integrate these innovative technologies into their teaching methods. Lastly, we illustrate how these models can transition from being perceived as a potential threat to educators to becoming a valuable opportunity when employed judiciously.
| Revista | ISSN |
|---|---|
| 2018 37 Th International Conference Of The Chilean Computer Science Society (Sccc) | 1522-4902 |
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Torres, Nicolas | - |
Universidad Técnica Federico Santa María - Chile
|