1.澳门科技大学创新工程学院工程科学系,澳门 999078
2.中国科学院自动化研究所复杂系统管理与控制国家重点实验室,北京 100190
3.中国科学院大学人工智能学院,北京 100049
[ "王飞跃(1961- ),男,博士,中国科学院自动化研究所复杂系统管理与控制国家重点实验室主任,澳门科技大学特聘教授,主要研究方向为平行系统的方法与应用、社会计算、平行智能、知识自动化。" ]
收稿:2024-07-10,
修回:2024-08-13,
纸质出版:2024-09-15
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王飞跃.智能科技与K21教育:未来社会的未来学校与未来师生[J].智能科学与技术学报,2024,06(03):281-283.
Fei-Yue WANG. K21 education and intelligent sciences: future schools and teachers/students in future society[J]. Chinese Journal of Intelligent Science and Technology, 2024, 6(3): 281-283.
王飞跃.智能科技与K21教育:未来社会的未来学校与未来师生[J].智能科学与技术学报,2024,06(03):281-283. DOI: 10.11959/j.issn.2096-6652.202435.
Fei-Yue WANG. K21 education and intelligent sciences: future schools and teachers/students in future society[J]. Chinese Journal of Intelligent Science and Technology, 2024, 6(3): 281-283. DOI: 10.11959/j.issn.2096-6652.202435.
智能科技的进一步发展,必将变革社会的知识基础设施,迫使我们以新的思维和新的形态重组从幼儿到博士阶段的K21教育体系,进而重新定义未来学校、政府、社会机构和公益组织等的功能与职责。
The further development of intelligent science and technology will inevitably transform the knowledge infrastructure of society
compelling us to reorganize the K21 education system—from early childhood to doctoral stages—using new thinking and new organizations with new operations. This will
in turn
redefine the functions and responsibilities of future schools
governments
social institutions
and public organizations.
王飞跃, 王艳芬, 陈薏竹, 等. 联邦生态: 从联邦数据到联邦智能[J]. 智能科学与技术学报, 2020, 2(4): 305-311.
WANG F Y, WANG Y F, CHEN Y Z, et al. Federated ecology: from federated data to federated intelligence[J]. Chinese Journal of Intelligent Science and Technology, 2020, 2(4): 305-311.
李娟娟, 管桑田, 秦蕊, 等. 智能区块链与区块链智能: 构筑DePIN的基础设施智能[J]. 智能科学与技术学报, 2024, 6(1): 5-16.
LI J J, GUAN S T, QIN R, et al. Intelligent blockchains and blockchain intelligence: the infrastructure intelligence for DePIN[J]. Chinese Journal of Intelligent Science and Technology, 2024, 6(1): 5-16.
田永林, 王雨桐, 王建功, 等. 视觉Transformer研究的关键问题: 现状及展望[J]. 自动化学报, 2022, 48(4): 957-979.
TIAN Y L, WANG Y T, WANG J G, et al. Key problems and progress of vision Transformers: the state of the art and prospects[J]. Acta Automatica Sinica, 2022, 48(4): 957-979.
缪青海, 王兴霞, 杨静, 等. 从基础智能到通用智能: 基于大模型的GenAI和AGI之现状与展望[J]. 自动化学报, 2024, 50(4): 674-687.
MIAO Q H, WANG X X, YANG J, et al. From foundation intelligence to general intelligence: the state-of-art and perspectives of GenAI and AGI based on foundation models[J]. Acta Automatica Sinica, 2024, 50(4): 674-687.
田永林, 王兴霞, 王雨桐, 等. RAG-PHI: 检索增强生成驱动的平行人与平行智能[J]. 智能科学与技术学报, 2024, 6(1): 41-51.
TIAN Y L, WANG X X, WANG Y T, et al. RAG-PHI: RAG-driven parallel human and parallel intelligence[J]. Chinese Journal of Intelligent Science and Technology, 2024, 6(1): 41-51.
王飞跃. 平行智能与平行教育: 对教育教学的审视与展望[J]. 现代教育技术, 2024, 34(1): 5-16.
WANG F Y. Parallel education: outlook of smart education and intelligent teaching[J]. Modern Educational Technology, 2024, 34(1): 5-16.
王飞跃. 数字教师与平行教育: 关于ChatGPT之后教学变革的探讨[J]. 智能科学与技术学报, 2023, 5(4): 454-463.
WANG F Y. Digital teachers and parallel education: a paradigm shift in teaching and learning after ChatGPT[J]. Chinese Journal of Intelligent Science and Technology, 2023, 5(4): 454-463.
王飞跃. 教育本源之知识创造. 智能科学与技术学报[J], 2024, 6(1): 1.
WANG F Y. Knowledge making in education[J]. Chinese Journal of Intelligent Science and Technology, 2024, 6(1):1.
KEARNEY C A, FENSKEN M, DUPONT R. The K-16 education movement: common themes across K-12 and higher education systems to inform development and evaluation[J]. Frontiers in Education, 2024, 9: 1272297.
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