数智赋能《公共政策学》课程教学创新研究

Research on Teaching Innovation of “Public Policy” Course Empowered by Digital Intelligence

摘要: 《公共政策学》作为公共事业管理专业的核心课程，其教学质量事关人才培养水平与教学能力塑造。当前，该课程面临知识传递效率低下、能力培养路径不畅和价值塑造效果不彰的现实困境，借助数智化手段有助于实现教学资源的精准配置与个性化供给、构建沉浸式的政策情境模拟与实战演练以及推动教学评价的动态化与全过程覆盖。本研究借鉴多元教学理论，从教学目标、教学内容、教学模式和教学评价四个维度构建数智化教学方案，其实践后发现有助于优化学生学习体验、提升教师教学效能。

Abstract: As a core course of the Public Administration major, “Public Policy Studies” is crucial to the cultivation of talent and the development of teaching abilities. Currently, this course faces practical challenges such as low efficiency in knowledge transmission, ineffective pathways for skill development, and poor value shaping outcomes. Utilizing intelligent digital means can help achieve precise allocation and personalized provision of teaching resources, build immersive policy situation simulations and practical exercises, and promote dynamic and comprehensive teaching evaluation. This study draws on multiple teaching theories and constructs an intelligent teaching plan from four dimensions: teaching objectives, teaching content, teaching methods, and teaching evaluation. Its practice found that it helps optimize students’ learning experience and improve teachers’ teaching effectiveness.