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认知增强AI与教育共生:未来教育新生态

Cognitive Augmentation AI and Education Symbiosis:A New Ecology for Education in the Future
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摘要 随着人工智能迈入认知智能时代,认知增强AI将成为教育领域的重要创新力量。本研究从认知增强AI的定义入手,探讨其通过深度学习、符号推理、类脑计算和知识图谱等技术,与人类认知系统深度协作,并提出多层次理论框架,展示认知增强AI在未来教育生态中的角色转变:从工具型AI向人机共生的智能体演化。该框架涵盖感知层、推理层和决策层,强调认知增强AI如何通过实时感知与反馈、逻辑推理与动态优化,提升教育过程的认知协作水平,并深入分析了认知增强AI与教育系统的协同进化路径,指出未来教育生态将向全息、动态、个性化方向演变。通过AI驱动的超个性化认知增强系统和多元智能支持,未来教育有可能实现从静态知识传授向动态、互动、全方位认知支持转型。 With the rapid advancement of artificial intelligence technology,Cognitive Augmentation AI has emerged as a key driver of innovation in the education sector.This study begins by defining Cognitive Augmentation AI,exploring how it leverages technologies such as deep learning,symbolic reasoning,neuromorphic computing,and knowledge graphs to achieve deep collaboration with human cognitive systems.A multi-layered theoretical framework is proposed to illustrate the evolving role of Cognitive Augmentation AI in future educational ecosystems—from a tool-based AI to an intelligent entity coexisting with humans.This framework encompasses perception,reasoning,and decision-making layers,emphasizing how Cognitive Augmentation AI enhances cognitive collaboration in educational processes through real-time sensing,feedback,logical reasoning,and dynamic optimization.The study further analyzes the co-evolutionary pathways between Cognitive Augmentation AI and educational systems,highlighting the shift of future educational ecosystems toward a holographic,dynamic,and personalized direction.Through AI-driven,hyper-personalized cognitive augmentation systems and support for multiple intelligences,education will transform from static knowledge transmission to dynamic,interactive,and comprehensive cognitive support.
作者 谷飞 GU Fei(School of Marxism,Jinzhou Medical University,Jinzhou 121001,China)
出处 《开放教育研究》 CSSCI 北大核心 2024年第6期13-20,共8页 Open Education Research
基金 2024辽宁省教育厅基本科研一般项目基金“IP视角下辽宁文化与旅游深度融合‘沉浸式·氛围感·情绪价值’高质量发展研究”(LJ112410160077)。
关键词 认知增强AI 全息式协同作用 未来教育生态 共同进化 cognitive augmentation AI holographic synergy future educational ecosystems coevolution
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