Beyond Display: From Dynamic Representation to Generative Representational Activity with Large Language Models
This paper argues that large language models introduce a distinct form of "generative representational activity" in mathematics education—where discourse specifies and instantiates mathematical objects recursively—rather than constituting a new stage of dynamic representation, thereby challenging the assumption that a correct-looking AI-generated output guarantees conceptual understanding or fidelity to the learner's intent.