生成式人工智能技术在研究生课程教学中的应用探索OA

In the context of the profound restructuring of the global scientific and technological innovation landscape,artificial intelligence has ascended as the strategic high ground in international technological competition.Generative artificial intelligence(GAI),powered by machine learning and deep learning technologies,has achieved a paradigm shift from data representation to content creation.Its demonstrated capabilities in cognitive simulation and creative output provide multidimensional technical support for the paradigm innovation of graduate education systems.Current graduate education faces widespread challenges,including curricular homogenization,limited knowledge absorption due to one-way lecturing,insufficient academic writing skills,and ineffective course feedback mechanisms.To address these issues,this study integrates GAI into graduate course instruction through goal-oriented personalized learning recommendations,enriched classroom engagement and interactive experiences,an intelligent course-paper writing assistance system,and empowered teaching evaluation and assessment.By constructing an intelligent"pre-class,in-class,and post-class"learning environment,this research provides technological and practical support for advancing graduate education in agricultural and forestry universities into a new phase of"digital-intelligence empowerment and interconnected future".