建构主义视角下人工智能赋能研究生教学探索——以《统计调查》为例
Exploration of Artificial Intelligence-Enabled Postgraduate Teaching from the Perspective of Constructivism—Taking Statistical Survey as an Example

在人工智能与教育深度融合的趋势下，鉴于研究生教育在培养高层次专业人才方面的独特需求，基于建构主义理论，以研究生《统计调查》课程“问卷设计”章节为切入点，借助人工智能工具“豆包”，探寻契合研究生教育特性的教学优化策略。结果显示，将人工智能应用于研究生课程教学的“课前–课中–课后”环节，能促进知识建构，满足研究生深入探索专业知识的需求，有助于培养创新思维和科研能力。
In the trend of the deep integration of artificial intelligence and education, given the unique requirements of postgraduate education in cultivating high-level professional talents, this paper is based on the constructivist theory. Taking the “Questionnaire Design” section of the postgraduate course Statistical Survey as a starting point and with the help of the artificial intelligence tool “Doubao”, it explores teaching optimization strategies that are suitable for the characteristics of postgraduate education. The results show that the application of artificial intelligence in the “pre-class - in-class - post-class” links of postgraduate courses can promote knowledge construction, meet the needs of postgraduate students to deeply explore professional knowledge, and contribute to the cultivation of innovative thinking and scientific research capabilities.