Generative artificial intelligence has become prevalent in discussions of educational technology, particularly in the context of mathematics education. These AI models can engage in human‐like conversation and generate answers to complex questions in real‐time, with education reports accentuating their potential to make teachers' work more efficient and improve student learning. This paper provides a review of the current literature on generative AI in mathematics education, focusing on four areas: generative AI for mathematics problem‐solving, generative AI for mathematics tutoring and feedback, generative AI to adapt mathematical tasks, and generative AI to assist mathematics teachers in planning. The paper discusses ethical and logistical issues that arise with the application of generative AI in mathematics education, and closes with some observations, recommendations, and future directions.
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Making mathematics together by modeling shared experiences
This article illustrates a pedagogical approach to integrating models and modeling in Geometry with mathematics teacher-learners (MTLs). It analyzes the work of MTLs in a course titled “Computers, Teaching, and Mathematical Visualization” (or “MathViz”), which is designed to engage MTLs in making mathematics together. They use a range of both physical and virtual models of 2-manifolds to formulate and investigate geometric conjectures of their own.
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- Award ID(s):
- 2149356
- PAR ID:
- 10575411
- Editor(s):
- Siller, Hans-Stefan; Maximilian, Julius
- Publisher / Repository:
- frontiersin.org
- Date Published:
- Journal Name:
- Frontiers in education
- ISSN:
- 2504-284X
- Subject(s) / Keyword(s):
- mathematical creativity, models and modeling, geometry, teacher preparation, mathematizing
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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