Research on Current Status of Academic Applications of Generative Artificial Intelligence for College Students

Abstract

The rapid development of generative artificial intelligence technology is profoundly restructuring the ecology of higher education, and its application in university students' academic research is characterised by the dual features of tool popularity and cognitive lag. This technology significantly improves academic efficiency through multi-modal content generation, research process imitation and human-computer collaborative innovation. Meanwhile, it triggers ethical risks, such as obtuse thinking and academic integrity crisis. This research stresses the need to establish a dynamic balance between technological empowerment and value leadership, and to avoid the risk of subjectivity dissolution through collaborative governance between universities, teachers and students, so as to ultimately achieve the dialectical unity of instrumental rationality and academic authenticity