The Impact of AIGC on the Cultivation of IoT Talents in Higher Education

Abstract

The emergence of Generative Artificial Intelligence (AIGC) has injected new momentum and possibilities into higher education. This paper explores the convergence between AIGC and IoT education, focusing on its roles in knowledge acquisition, experimental teaching, interdisciplinary integration, and personalized learning. Furthermore, it examines the profound impact of AIGC on talent cultivation models, competency structures, and industry–academia–research collaboration in the IoT field. On this basis, the paper proposes the AIGC+IoT Talent CoLab model for innovative talent cultivation, along with strategies such as curriculum reform, faculty training, and the enhancement of critical thinking, aiming to provide new insights for the development of IoT education in universities.