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Parallel teaching laboratories: a new AI infrastructure empowering K-12 education
Papers and Reports | 更新时间：2026-04-27
|
Parallel teaching laboratories: a new AI infrastructure empowering K-12 education
- Chinese Journal of Intelligent Science and Technology Vol. 8, Issue 1, Pages: 94-104(2026)
- 作者机构：
1.天津市第二中学，天津 300140
2.澳门科技大学创新工程学院工程科学系，澳门 999078
- 作者简介：
- 基金信息：
DOI：10.11959/j.issn.2096-6652.202610
CLC： G482Received：10 January 2026，
Revised：2026-03-25，
Accepted：26 March 2026，
Published：15 March 2026
- 稿件说明：
移动端阅览
高欣,林飞,傅君等.平行教学实验室：赋能K-12教育的新AI基础设施[J].智能科学与技术学报,2026,08(01):94-104.
Gao Xin,Lin Fei,Fu Jun,et al.Parallel teaching laboratories: a new AI infrastructure empowering K-12 education[J].Chinese Journal of Intelligent Science and Technology,2026,08(01):94-104.
高欣,林飞,傅君等.平行教学实验室：赋能K-12教育的新AI基础设施[J].智能科学与技术学报,2026,08(01):94-104. DOI： 10.11959/j.issn.2096-6652.202610.
Gao Xin,Lin Fei,Fu Jun,et al.Parallel teaching laboratories: a new AI infrastructure empowering K-12 education[J].Chinese Journal of Intelligent Science and Technology,2026,08(01):94-104. DOI： 10.11959/j.issn.2096-6652.202610.
Parallel teaching laboratories: a new AI infrastructure empowering K-12 education
摘要
为应对中小学（K-12）教学实验室在运行效率、安全保障与智能支持等方面的挑战，引入平行智能，提出了一种以人工系统-计算实验-平行执行（ACP）方法为核心、融合三类人系统的平行教学实验室框架。该框架通过构建人工系统、开展计算实验并实施平行执行，将传统教学实验转化为可计算、可分析、可验证的虚实融合过程。通过系统集成大语言模型、视觉-语言-行动（VLA）等新一代人工智能（AI）技术，支撑实验教学的自主运行与安全可控。围绕平行教学实验室的体系架构、关键技术与运行机制展开分析，并结合天津市第二中学智慧出行AI实验室的建设实践，验证框架在真实教学场景中的可落地性与应用价值。研究表明，平行教学实验室为推动K-12实验教学由静态设施向智能化系统演进提供了一种可行路径。
Abstract
To address the challenges faced by kindergarten through twelfth grade (K-12) teaching laboratories in operational efficiency
safety assurance
and intelligent support
parallel intelligence was introduced
and a parallel teaching laboratory framework centered on the artificial systems
computational experiments
and parallel execution (ACP) method
while integrating the three-class human system. Through the construction of artificial systems
the execution of computational experiments
and the implementation of parallel execution
traditional teaching experiments were transformed into virtual-real integrated processes that were computable
analyzable
and verifiable. By systematically integrating next-generation AI technologies
including large language models and vision-language-action (VLA) models
autonomous operation and safety-controllable experimental teaching were supported. The architecture
key technologies
and operational mechanisms of the parallel teaching laboratory were analyzed
and the feasibility and application value of the framework in real educational settings were validated through the construction practice of the Smart Transportation AI Laboratory at Tianjin No. 2 High School. The results show that the parallel teaching laboratory provides a feasible pathway for promoting the evolution of K-12 experimental teaching from static facilities to intelligent systems.
关键词
Keywords
references
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