西北工业大学计算机学院 陕西 西安
G434
面向人工智能时代的“财务+”拔尖人才国际化培养模式研究；国家战略需求牵引的新文科设置调整机制研究
School of Computer Science, Northwestern Polytechnical University
随着Deepseek的开源，生成式AI（Generative AI）得以普及，其凭借其强大的数据处理与内容生成能力，正在重新塑造教育生态。在生成式AI工具的辅助下，学生的学习需求和方式发生了变化。他们具备了一定的自主学习能力，教师的传统授课职能逐渐淡化。生成式AI技术的应用不仅为教育带来了技术性变革，还推动了教育理念的深刻变化，传统的“教书”观念逐渐不再适用。在这样的新型教育背景下，作为教学过程的关键环节，教师角色转型成为必然。然而，生成式AI在教育领域仍属于新兴技术，当前教师角色转型面临的主要挑战包括技术素养不足、传统教育理念的制约以及个性化教学实施的困难。 为应对这些挑战，本文针对教师角色重构的路径进行研究。首先，教师需要提升技术素养，熟练掌握生成式AI工具的应用，提高自身工作效率，能够结合生成式AI技术生成多样教学内容；其次，教师应转变教育理念，强调学生思维能力和创新能力的培养，回归立德树人的教育本质；同时，教师应该创新教学方法，提升教学效果，结合个性化教学手段，实现因材施教；最后，教师需保持持续学习和交流，不断创新教学内容和方法，以适应教育环境的不断变化。 本文研究教师角色重构路径与实践策略来帮助教师有效应对生成式AI带来的挑战，推动教育理念和教学方法的更新。这将为教育的未来发展奠定坚实基础，促进学生的全面成长与创新能力的提升。
With the open-source release of Deepseek, Generative AI has become more accessible, and its powerful data processing and content generation capabilities are reshaping the educational ecosystem. The learning needs and methods of students have changed, as they now possess a certain level of autonomous learning ability, leading to a gradual decline in the traditional teaching role of teachers. The application of Generative AI not only brings technological transformation to education but also drives a profound shift in educational philosophy, making the traditional "teaching" concept increasingly outdated. In this new educational context, the transformation of the teacher's role, as a key element in the teaching process, has become inevitable. However, Generative AI is still an emerging technology in the education field, and the current transformation of the teacher's role faces key challenges, including insufficient technological literacy, the constraints of traditional educational concepts, and difficulties in implementing personalized teaching. To address these challenges, this paper explores the path for reconstructing the teacher's role. First, teachers need to enhance their technological literacy, master the application of Generative AI tools, improve their work efficiency, and be able to generate diverse teaching content using Generative AI technology. Second, teachers should shift their educational philosophy, focusing on cultivating students' thinking and innovation abilities, and return to the essence of education—teaching morality and virtue. At the same time, teachers should innovate teaching methods to improve effectiveness, using personalized teaching strategies to implement individualized instruction. Finally, teachers must maintain continuous learning and communication, constantly innovating teaching content and methods to adapt to the ever-changing educational environment. This study of the teacher role reconstruction path and practical strategies aims to help teachers effectively respond to the challenges posed by Generative AI, driving updates to educational philosophy and teaching methods. This will lay a solid foundation for the future development of education and promote the holistic growth and innovation capacity of students.
