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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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Data Scientists Discuss AI Risks and Opportunities
This is an edited summary of a virtual panel conversation that took place on December 19, 2023, concerning the risks and benefits of AI systems . The many topics that are covered include AI impacts on education, the economy, cybercrime and warfare, autonomous vehicles, bias and fairness, and regulation. In addition, the role for data scientists is discussed. But the field is moving quickly, and some of the issues and concerns may have changed by the time this discussion is published. We note that the discussion was refereed, which led to some post hoc changes to the actual conversation. Most of the participants are mostly comfortable with the new points that have been attributed to them.
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- Award ID(s):
- 2022040
- PAR ID:
- 10539879
- Publisher / Repository:
- MIT Press
- Date Published:
- Journal Name:
- Harvard Data Science Review
- Volume:
- 6
- Issue:
- 3
- ISSN:
- 2644-2353
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1162/99608f92.740dcedb
