IA generativa para el apoyo de las actividades docentes - Caso práctico: análisis de programas computacionales de baja y mediana complejidad

Abstract

Abstract: Generative Artificial Intelligence (GAI) has gained relevance in various areas, including education, where it is proposed to create content, educational resources, and process automation for teachers of programming-related subjects in the Computer Science program, in repetitive and time-consuming tasks such as reviewing and evaluating student assignments. This project examines the potential of GAI for analyzing low- and medium-complexity programs, supporting teachers' activities. The results obtained are reflected in the construction of an API and web application based on the GPT-40 Large-Scale Model, intended for use by teachers. The methodology begins with a literature review to identify scenarios where GAI has demonstrated its potential in education. The evaluation of the GPT-40 model's performance in the review and analysis of computer programs, task statements, and assessment rubrics has been extracted from the teaching plans, determining the quality and effectiveness of the GPI within this application.