Generative Artificial Intelligence in Software Development Education (GenAI-SoftDev)

The GenAISoftDev project addresses the existing gap in the effective integration of Generative Artificial Intelligence (GenAI) within software engineering education. Despite technological advancements, educators face difficulties in implementing tools that simulate realistic programming environments and offer instant feedback, which limits the acquisition of essential practical skills among university students. The proposed solution consists of the design and evaluation of a pedagogical-technological model that uses GenAI to personalize learning, allowing students to interact with real-world scenarios. This approach seeks to improve the understanding of complex concepts, increase efficiency in software production, and democratize access to quality education. The expected impact includes a significant improvement in software engineering pedagogy, the generation of new empirical knowledge, and the preparation of more competent professionals for the job market. By fostering adaptive learning, the project not only benefits students and teachers but also contributes to technological innovation and economic growth, establishing solid foundations for future research in the educational field.<br/><br/><b>Goal</b>: <br/>Develop a model based on Generative Artificial Intelligence to optimize the teaching and learning process of software development in higher education. The project aims to integrate AI tools that simulate real-world environments and provide immediate feedback to students.<br/><br/><b>Research lines</b>: <br/>Computer systems and artificial intelligence<br/>Technologies applied to education<br/>Data science