生成式人工智能辅助下项目式学习在数理统计课程中的教学实践研究
Research on the Teaching Practice of Project-Based Learning in Mathematical Statistics Courses Assisted by Generative Artificial Intelligence
摘要: 在人工智能赋能课程改革的背景下,文章基于生成式人工智能(GAI)构建数理统计课程项目式学习新模式,系统探究其融入课程教学的实施路径与应用效果。研究以租房数据集为例,设计递进式学习流程与系统化实践方案,实现课程理论与真实数据分析场景的深度融合。实践表明,GAI技术能够有效改善学生学习体验,提升学生数据分析实操能力与创新思维,显著优化数理统计课程教学质量,为课程智能化教学改革提供可行参考。
Abstract: Driven by AI-enabled curriculum reform, this paper proposes a novel Generative Artificial Intelligence (GAI)-based project-based learning model for the course of Mathematical Statistics. It systematically investigates the implementation pathways and practical effects of integrating GAI into curriculum teaching. Using a real-world housing rental dataset as an example, this study develops a progressive learning framework and standardized practice scheme to achieve the deep integration of theoretical knowledge and practical data analysis. The results show that GAI can effectively enrich students’ learning experience, strengthen their practical data analysis skills and innovative thinking, and substantially improve the overall teaching quality of Mathematical Statistics courses. This research provides a viable reference for the intelligent teaching reform of relevant university courses.
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