Proceedings of the International Group for the Psychology of Mathematics Education · Volume 1
Linxuan Yi, Di Liu
Michigan State University
⬇ Download PDFAs generative AI enters mathematics education, understanding how students use these tools becomes critical. We examine instrumental genesis and cognitive offloading in student-GenAI interaction through case analysis of one eleventh-grade student solving a modelling problem, with help-seeking behaviors served as observable indicators. Analysis revealed that the student developed a learning-oriented utilization scheme within a four-stage cycle of instrumentalization and instrumentation, demonstrating low cognitive offloading: delegating computational tasks while maintaining critical authority. This framework distinguishes productive appropriation (scaffolded engagement) from problematic patterns (complete delegation), offering analytical tools for supporting productive GenAI use in mathematics learning.
Instrumental genesisCognitive offloadingMathematical modelingGenerative AI