"学习强国"平台赋能高校党史学习教育高质量发展:功能、现状与路径
Empowering the High Quality Development of Party History Learning and Education in Universities through the Digital Platform of"Learning to Build a Strong Country":Function,Current Situation,and Path
黄均霞 1汪妍希1
作者信息
- 1. 湖南工业大学马克思主义学院,湖南 株洲 412007
- 折叠
摘要
党史学习教育是坚定大学生理想信念的重要因素、传承红色基因的关键支撑和抵制错误思潮的重要保障."学习强国"平台是助推党史学习教育跨模态发展的重要载体、坚定唯物史观和正确党史观的重要阵地与发挥党史立德树人作用的重要窗口,对新征程上推进高校党史学习教育高质量发展有着重要意义.通过调查,我们发现"学习强国"平台推进高校党史学习教育的重要性不断凸显,但教育的实效性还有待改进;推进党史学习教育的个性化不断凸显,但学习的主体性还需发挥;融入党史学习教育长效机制的创新性凸显,但与"大思政体系"的配合还有待加强.因此,要掌握大学生真实需求、统筹平台资源与健全体制机制,提升高校党史学习教育质量.
Abstract
Party History Learning and Education is an important factor in strengthening the ideals and beliefs of college students,as well as a key support for inheriting the red gene,and an important guarantee for resisting erroneous ideological trends.The"Xue Xi Qiang Guo"platform is an important carrier to promote the cross modal development of Party History Learning and Edu-cation,as well as an important battlefield to strengthen the materialist and correct views on Party history,and an important win-dow to play the role of Party history in moral education.It is of great significance for promoting the high-quality development of Party History Learning and Education in universities on the new journey.Through investigation,we found that the importance of promoting the study and education of party history in universities through the"Xue Xi Qiang Guo"platform was constantly high-lighted,but the effectiveness of education still needed to be improved;The personalization of promoting the study and education of party history was constantly highlighted,but the subjectivity of learning still needed to be fully utilized;The innovation of in-tegrating into the long-term mechanism of Party history learning and education was highlighted,but the coordination with the"big ideological and political system"still needed to be strengthened.
关键词
"学习强国"平台/高校党史学习教育/功能/实践Key words
the"Xue Xi Qiang Guo"platform/Learning and Education of Party History in Universities/Function/practice引用本文复制引用
出版年
2024
NETL
NSTL
万方数据