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ZENODO
Journal . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Journal . 2026
License: CC BY
Data sources: Datacite
ZENODO
Journal . 2026
License: CC BY
Data sources: Datacite
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AI IN MATHEMATICAL EDUCATION: A DOUBLE-EDGED SWORD

Authors: Mrs. Jyoti Sagar Waghulkar;

AI IN MATHEMATICAL EDUCATION: A DOUBLE-EDGED SWORD

Abstract

Mathematics has always been considered a tricky subject because of its abstract concept and lack of personalization in the conventional method of instruction. The fast-paced development of Artificial Intelligence (AI) has brought innovative approaches to the instruction of mathematics through intelligent tutoring, adaptive learning, automated testing, and generative AI technology. AI technology allows for personalization of instruction, instant feedback, and increased engagement of the learner, which makes the learning process efficient and increases the level of comprehension. Nevertheless, the pervasive use of AI technology poses important pedagogical and ethical concerns, making AI a double-edged sword in the instruction of mathematics. Specific objectives are: (i) the place of AI in facilitating teaching and learning of mathematics, (ii) challenges that come with the integration of AI in mathematics education, and (iii) how managing AI use can be done to avoid over-reliance on technology and ensure that children do not lose the ability for independent thinking. The study adopts a conceptual research methodology informed by a critical review and synthesis of recent literature on AI applications, educational models, and ethical considerations. It has been determined that while it true that AI improves or enhances personalization and efficiency of assessments and engagement, over-reliance on it might hamper problem-solving skills and critical or conceptual understanding. It can thus be concluded from this paper that AI should be used as an aid in pedagogy and it should be grounded in sound pedagogy and ethical foundations so that there could be an optimum use of it.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green