Group 1 - The core viewpoint of the articles emphasizes the need for vocational education to adapt to the opportunities and challenges presented by artificial intelligence (AI), particularly in the context of the "AI+" initiative issued by the State Council [1] - The integration of AI into vocational education is seen as a way to enhance teaching quality and student capabilities, rather than a replacement for traditional learning methods [1][3] - The shift in teaching methods at institutions like Ji'an Vocational and Technical College demonstrates a proactive approach to AI, focusing on human-AI collaboration rather than dependency [1][3] Group 2 - The rise of generative AI tools has led to a crisis in education, particularly in finance and commerce programs, where students often resort to AI for quick solutions, undermining their analytical and strategic thinking skills [2] - The over-reliance on AI for tasks such as data analysis and report generation has resulted in a decline in students' independent thinking and creativity, which are essential for future employment [2][3] - The teaching reforms at Ji'an Vocational and Technical College aim to counteract these issues by restructuring courses to focus on real-world applications and critical thinking [3][4] Group 3 - The "Business Data Analysis" course has undergone a significant transformation, centering on a typical business data analysis workflow, allowing students to engage with real business problems and data [3][4] - Students are encouraged to identify which parts of the analysis can leverage AI for efficiency while maintaining human judgment in critical decision-making processes [3][4] - The introduction of "human-machine comparison experiments" in the curriculum fosters a deeper understanding of algorithmic logic and its practical applications in business [4] Group 4 - The "E-commerce Copywriting" course has shifted its focus to designing intelligent content production workflows, integrating local agricultural products into the curriculum to enhance practical learning [5][6] - Students learn to conduct market research and competitive analysis manually, as AI cannot fully grasp local cultural nuances, ensuring a comprehensive understanding of the products [5][6] - The process of evaluating AI-generated content against brand values and local cultural elements emphasizes the role of students as quality controllers and creative leaders [6] Group 5 - The reforms have led to significant improvements in student capabilities, with a 95% satisfaction rate from partner companies regarding graduates' skills in AI tool application, data analysis, and practical execution [7] - Graduates from Ji'an Vocational and Technical College enjoy an average starting salary 1.2 times higher than the regional or industry average, indicating the effectiveness of the educational reforms [7] - The role of instructors has evolved from knowledge transmitters to facilitators of human-AI collaboration, guiding students in applying AI as a decision-enhancing tool rather than a shortcut [7]
产教融合驱动AI课堂改革:吉安职业技术学院的实践
Yang Shi Wang·2025-12-04 07:11