生成式人工智能重塑科学教育模式——基于行动者网络理论的馆校合作研究

Research on the Construction of Science Education in Museum-School Collaboration by Generative Artificial Intelligence:Based on Actor Network Theory

生成式人工智能技术深度融入馆校合作体系将带来科学教育模式、理念、场景、应用以及各主体间关系的深刻变革。本文以行动者网络理论为分析工具,解析生成式人工智能介入馆校合作体系时,行动者的角色、信息的转译过程以及网络的构建,以阐明生成式人工智能推动下的馆校合作中科学教育模式的转型,并探讨生成式AI在科学教育中的应用可能带来的问题,如数字鸿沟、技术依赖和伦理偏见等风险,之后提出相应的对策,包括提升数字素养、优化课程设计和完善AI伦理规范,以促进馆校合作的系统化建设和持续发展。

The deep integration of generative artificial intelligence(Gen AI)technology in museumschool collaboration will bring about profound changes in science education models,concepts,scenarios,applications,and the relationship between subjects.Using the Actor Network Theory as an analytical tool,this paper analyzes the role of the actor,the process of information translation,and the construction of the network when Gen AI is involved to clarify the transformation of the science education model in museum-school collaboration promoted by Gen AI.It discusses the problems that may be brought about by the application of Gen AI in science education,such as the risks of digital divide,technology dependence and ethical bias.Corresponding countermeasures are proposed,including improving digital literacy,optimizing curriculum design,and improving AI ethics,in order to promote the systematic construction and sustainable development of museum-school collaboration.