数智化赋能高职学生理想信念教育模式创新探赜
Exploring the Innovation of Ideal and Belief Education Model for Higher Vocational Students Empowered by Digital Intelligence
丁胜1
作者信息
- 1. 中山职业技术学院马克思主义学院(中山,528400)
- 折叠
摘要
数智时代的高职理想信念教育面临从"被动适应"到"主动迎接",从"认知"到"应用",从"技术叠加"到"技术与教学融合"的发展诉求.数智化赋能高职学生理想信念教育模式创新,通过搭建理想信念教育空间,有助于增强"阐释力";通过拓展理想信念教育向度,有助于增强"理解力";通过整合理想信念教育数据,有助于增强"领悟力";通过搭建理想信念教育桥梁,有助于增强"感染力".理想信念教育的"系统进化""迭代升级""虚实结合""互构互嵌"为数智化赋能高职学生理想信念教育模式创新提供了基本逻辑.基于此,探索构建了"一核心""双驱动""四维度""五步骤"的高职学生理想信念教育数智化模式.
Abstract
Ideal and belief education for higher vocational students in the age of digital intelligence is facing the development demands from"passive adaptation"to"active welcome",from"cognition"to"application",and from"technology superposition"to"technology and teaching integration".Digital intelligence empowers the innovation of ideal and belief education model for higher vocational students,and helps to enhance the"explanatory power"by building ideal and belief education space;by expanding the direction of ideal and belief education,it helps to enhance the"power of understanding";through the integration of ideal and belief education data,it helps to enhance the"comprehension power";by building a bridge for ideal and belief education,it helps to enhance the"infectious power".The"system evolution""iterative upgrading""combination of reality and reality"and"mutual construction and mutual embedding"of ideal belief education provide basis logic for empowering the innovation of higher vocational students'ideal and belief education model by providing the basic logic.Based on this,we have explored and constructed a digitalized model of higher vocational students'idealistic belief education with"one core""double drive""four dimensions"and"five steps".Based on above,the mathematical and intellectualized ideal and belief education model for higher vocational students is explored and constructed.
关键词
数智化/高职学生/理想信念教育/模式创新Key words
digital intelligence/higher vocational students/ideal and belief education/model innovation引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据