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公共管理学科教学动态影响因素分析
引用本文:王增文.公共管理学科教学动态影响因素分析[J].河北科技大学学报(社会科学版),2013(4):86-93.
作者姓名:王增文
作者单位:南京财经大学公共管理学院,江苏南京210023
基金项目:南京财经大学教改课题“公共管理教学模式改革的探索与实践”(JGY1348);江苏高校优势学科建设工程资助项目;江苏省“青蓝工程”资助项目;江苏省“333工程”资助项目
摘    要:中国从1998年在大学设立公共管理专业以来,就不断地受到质疑,特别是其教学问题,如教学过程中存在忽视对学生处理公共管理问题的技能和实践能力的培养,专业、课程及学科定位较为含糊,教学方面的案例选取与编写方面过于粗糙,过于注重学生对基本制度的学习,忽视了其相关的专业理论知识的讲授等问题。鉴于此,结合开设公共管理专业的高等院校中的教学调查数据,利用TFV模型,探寻了影响中国公共管理专业教学的动态因素。实证分析的结果表明,公共管理学科的教学应该从教师、学生、政府及社会互动的视角设置专业和课程体系,从而进一步提升公共管理学科的教学质量。

关 键 词:公共管理学科  教学  TFV模型  动态因素

Analysis of the Dynamic Influencing Factors of Teaching of Public Management
WANG Zeng-wen.Analysis of the Dynamic Influencing Factors of Teaching of Public Management[J].Journal of Hebei University of Science and Technology,2013(4):86-93.
Authors:WANG Zeng-wen
Institution:WANG Zeng-wen (Institute of Public Administration, Nanjing University of Finances and Economics, Nanjing 210023, China)
Abstract:Since China established the major of public administration in universities in 1998, it has been questioned, especially its teaching and professional construction, which ignore students' culture of the public management issues, such as the skill and practice ability in the process of teaching. The positioning of the professional, curriculum and subject are all vague, and it is too rough in the selec- tion of the teaching case and the writing. It focuses on the students' the learning of the basic system and ignoring the teaching of the relevant professional knowledge etc. In view of this, according to the investigation data of teaching of public management in professional construction, by using the analytic model of TFV test, we explore the effect of dynamic factors of Chinese public management teaching and professional construction. Empirical analysis shows that the public management science teaching should set up the professional and curriculum system of interaction between teachers, students, government and society to improve the teaching quality of public management.
Keywords:public management  teaching  TFV model~ dynamic factors
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