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On the Use of ChatGPT to Support Requirements Engineering Teaching and Learning Process

Abstract:

The use of artificial intelligence (AI) in education is an emerging trend that offers multiple opportunities and challenges. In this article, we present an exploratory study on the use of ChatGPT, an AI-based tool that allows generating responses to questions posed by the user, as support for project-based learning in the Requirements Engineering course. The objective of the study is to identify the advantages and disadvantages of using ChatGPT in this context, as well as to provide recommendations for its implementation and improvement. To this end, a survey was conducted with 27 students who used ChatGPT in the course, and their responses were analyzed using statistical and qualitative techniques. The study results show that students perceived ChatGPT as a useful and novel tool that facilitated the generation and understanding of concepts, models and tools related to requirements engineering, as well as the simulation of interviews with value chain actors. However, some limitations and aspects to improve using ChatGPT were also identified, such as the accuracy and consistency of the generated responses, the adequate contextualization of information, and the ability to customize and adjust the tool. The study concludes that ChatGPT has great potential to support project-based learning in the Requirements Engineering course, but also requires technical and pedagogical improvements to optimize its performance and effectiveness.