AIGC赋能大数据管理与应用专业课程教学创新研究

A Study on Educational Innovation in the Big Data Management and Application Major Empowered by AIGC

摘要: 随着人工智能技术的快速发展，AIGC正在广泛地应用于教育领域，本文采用案例研究方法，以大数据管理与应用专业课程为研究对象，聚焦于当前课程中存在的三个主要问题：“课程内容更新滞后于技术演进、跨学科知识整合不足、缺乏真实数据实践场景”，通过引入AIGC技术赋能专业课程教学，一定程度解决了上述问题，促进了传统教学模式的转型升级。研究结论，(1) AIGC技术推动课程内容设计向智能化转型；(2) AIGC重塑了跨学科知识整合的新路径。(3) AIGC引领教学范式深度变革与创新。研究结论对于数智时代的教学模式改革创新、人才培养具有一定的理论价值和实践价值。

Abstract: With the rapid development of artificial intelligence technologies, AIGC (Artificial Intelligence Generated Content) is being widely applied in the field of education. This study adopts a case study approach, focusing on the curriculum of the Big Data Management and Application major. By leveraging AIGC, the research aims to address three major issues such as outdated course content relative to technological advancements, insufficient interdisciplinary knowledge integration, and a lack of real-world data practice scenarios, thereby promoting the transformation and upgrading of traditional teaching models. The main findings are: (1) AIGC drives the intelligent transformation of curriculum content design; (2) AIGC reshapes the pathways for interdisciplinary knowledge integration; (3) AIGC leads to profound changes and innovations in teaching paradigms. The research holds both theoretical and practical significance for the reform and innovation of teaching models and talent cultivation in the era of digital intelligence.