新质生产力赋能高校思想政治教育创新:内在逻辑、现实挑战与实现策略  

Empowering innovation in ideological and political education in universities with new quality productivity:Intrinsic logic,realistic challenges,and implementation strategies

作　　者：梁海娜 岳爱武 LIANG Haina;YUE Aiwu(School of Marxism,Nanjing University of Traditional Chinese Medicine,Nanjing 210023,China;School of Marxism,Shanghai University,Shanghai 200444,China)

机构地区：[1]南京中医药大学马克思主义学院,江苏南京210023 [2]上海大学马克思主义学院,上海200444

出　　处：《南京邮电大学学报（社会科学版）》2024年第6期61-69,共9页Journal of Nanjing University of Posts and Telecommunications(Social Science Edition)

基　　金：国家社科基金项目“总体国家安全观视阈下我国主流意识形态安全预警机制构建研究”(22BKS101);江苏省高校哲学社会科学研究项目“高校思想政治教育网络环境整体性治理研究”(2023SJYB0325)。

摘　　要：新质生产力是以智能生产力为导向的“先进生产力质态”。从“能级跃迁”角度分析,新质生产力具有促进高校思想政治教育要素从“脑力化”向“脑机化”转换,推动高校思想政治教育文本从“UGC”向“AIGC”转化,驱动高校思想政治教育场景从“线性增长”向“体系涌现”跃迁的内在逻辑。但从智能“负”载角度分析,新质生产力赋能高校思想政治教育创新面临“仿真场景”中的思想放逐,“流量裹挟”中的价值抵抗,“神秘算法”中的控制性支配,“代码符号”中的规范脱序等诸多挑战。为此,应立足新质生产力,以“AI嵌入”提升智能空间思想凝聚力,以“情感计算”提升流量文本价值认同,以“数字化”重塑高校思想政治教育叙事方式,以“规制互嵌”护航高校思想政治教育技术转型,赋能高校思想政治教育创新发展。New quality productivity is an“advanced productivity quality state”guided by intelligent productivity.From the perspective of“energy level transition”,the new quality productivity has the inherent logic of promoting the transformation of ideological and political education elements in universities from“brainpower”to“brain mechanization”,promoting the transformation of ideological and political education texts in universities from“UGC”to“AIGC”,and driving the transition of ideological and political education scenes in universities from“linear growth”to“systematic emergence”.However,from the perspective of intelligent“load”,empowering ideological and political education in universities with new quality productivity faces many challenges,such as ideological exile in“simulation scenarios”,value resistance in“traffic entrapment”,controlling domination in“mysterious algorithms”,and normative disorder in“code symbols”.To this end,we should focus on new quality productivity,enhance the ideological cohesion of intelligent spaces through“AI embedding”,enhance the value recognition of traffic texts through“emotional computing”,reshape the narrative mode of ideological and political education in universities through“digitalization”,safeguard the technological transformation of ideological and political education in universities through“regulation embedding”,and empower the innovative development of ideological and political education in universities.

关 键 词：新质生产力 思想政治教育 教育创新 

分 类 号：G641[文化科学—高等教育学]