Research on the Construction of Science Education in Museum-School Collaboration by Generative Artificial Intelligence:Based on Actor Network Theory
The deep integration of generative artificial intelligence(Gen AI)technology in museum-school 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.
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