Abstract
Digital transformation is reshaping operations across multiple sectors, including higher education (HE), where emerging technologies increasingly influence teaching and learning practices. Among these technologies, artificial intelligence (AI) emerges as both a powerful enabler and a source of significant challenges. Understanding how AI can be effectively integrated into educational contexts and the implication of its use is, therefore, critical. While research on AI in education is growing, limited attention has been given to its application in T/L processes related to requirements elicitation and system analysis. This study addresses this gap through an empirical investigation conducted in a higher education course focused on these topics. The results highlight AI's potential to support idea generation and promote student autonomy while underscoring the importance of developing students’ capacity for critical thinking to support responsible AI use. Students recognize AI as a valuable tool for both requirements elicitation and threat system analysis but emphasize that the educator’s role remains essential. AI is regarded not as a replacement, but as a complementary partner in the learning process.
Recommended Citation
Bastos, Tiago; Teixeira, Pedro; Regadas, Gonçalo; and Teixeira, Leonor, "Integrating AI into Higher Education: Effects on the Teaching and Learning of Requirements Elicitation and Systems Analysis" (2025). CAPSI 2025 Proceedings. 12.
https://aisel.aisnet.org/capsi2025/12