人工智能赋能绿色低碳教育的三重逻辑OA
Triple Logic of Artificial Intelligence Empowering Green and Low-carbon Education
绿色低碳教育是"双碳"目标下生态文明教育的重要内容之一.在人工智能迅猛发展并逐步改变教育形态的新时代,绿色低碳教育迫切需要人工智能的赋能,以凸显其支撑"双碳"目标的基础性功能.由此,沿着价值逻辑—技术困境的深层逻辑—实践逻辑等三重逻辑来构建这一重要实践命题的知识图谱.首先,从价值逻辑来看,人工智能赋能绿色低碳教育是实现"双碳"目标的政策要义,也是人工智能赋能教育发展的重要样本,能彰显教育支撑生态文明建设的重要价值;其次,绿色低碳教育的碎片化布局、技术密集度较低、知晓率与覆盖面低等深层技术困境需要运用人工智能破解;最后,以人工智能形塑绿色低碳教育的内容体系,推进绿色低碳教育教学工具的数智化跃迁,立体构建绿色低碳教育的传播平台等方面构成了赋能的实践逻辑.
Green and low-carbon education is one of the important components of ecological civilization education under the"dual carbon"goals.In the new era where artificial intelligence is rapidly developing and gradually changing the form of education,green and low-carbon education urgently needs the empowerment of artificial intelligence to highlight its fundamental function in supporting the"dual carbon"goals.Thus,a knowledge graph of this important practical proposition is constructed based on the triple logic of value logic,deep logic of technological dilemmas,and practical logic.Firstly,from the perspective of value logic,AI-empowered green and low-carbon education is a key policy imperative for achieving the"dual carbon"goals,which also serves as an important sample of AI-empowered educational development,highlighting the significant value of education in supporting the construction of ecological civilization.Secondly,the deep-seated technological challenges of fragmented layout,low technology intensity,limited awareness and coverage of green and low-carbon education necessitate the application of artificial intelligence for resolution.Finally,the practical logic of empowerment is constituted by shaping the content system of green and low-carbon education through AI,promoting the digital-intelligent leap of teaching tools,and multidimensionally building communication platforms.
刘志坚;张仪
福州大学马克思主义学院福州大学马克思主义学院
人工智能绿色低碳教育价值逻辑技术困境实践逻辑
artificial intelligencegreen and low-carbon educationvalue logictechnological dilemmapractical logic
《南京林业大学学报(人文社会科学版)》 2026 (2)
97-106,10
福州大学研究生教育教学改革重点项目"基于'双碳'目标的研究生创新人才多学科协同培育模式研究"(FYJG2023008).
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