Generative AI interview simulations: A pedagogical approach to improve requirements elicitation in graduate studies
Keywords:
Requirements Engineering, Role-playing, software Education, Stakeholders, Active learningAbstract
Requirements elicitation is a critical phase in software engineering that demands communication, analytical, and empathy skills to accurately capture stakeholders' needs. Traditionally, its teaching at the postgraduate level has relied on theoretical approaches, limiting the development of practical competencies. This study proposes a pedagogical strategy that integrates generative artificial intelligence to simulate user interviews, enhancing the teaching of requirements elicitation techniques in academic environments. The proposal is implemented within the Master's in Advanced Informatics program at the University of Informatics Sciences, offering students active, realistic learning experiences aligned with professional scenarios. The results show that the use of generative AI significantly strengthens key skills for effective requirements elicitation, overcoming the limitations of traditional methods.
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