The review identifies data privacy, algorithmic fairness, academic integrity, and unequal access as interconnected ethical concerns in AI-supported mathematics education¶

Claim · All claims
Evidence · 1 study (2 entries) · review r3 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2031: baselines and conditions change

Subclaims¶

q2 i? AI-supported environments may process sensitive data including achievement, errors, and affective states, and biased training data can produce systematically different outcomes for learner groups defined by gender, ethnicity, or socioeconomic background. → Omirzakova 2026 q2 i? Generative AI enables access to ready-made answers, encouraging misconduct that undermines assessment validity, and costs of high-quality systems place them beyond some schools and households. → Omirzakova 2026 (2)

Evidence¶

Omirzakova 2026¶

Omirzakova, F. N., & Tileubay, S. (2026). Artificial intelligence in mathematics education: A PRISMA-based systematic literature review (2021-2025). European Journal of STEM Education, 11(1), Article 43. https://doi.org/10.20897/ejsteme/19221

q2 · i? · review · r3

Review synthesis on privacy and fairness for RQ2, citing [G35, G39]. The review also notes concerns about gender stereotypes reproduced through conversational AI design (Sultan et al., 2025).

"insufficient validation or biased training data can produce systematically different outcomes for learner groups defined by characteristics such as gender, ethnicity, or socioeconomic background."

Omirzakova 2026 (2)¶

Omirzakova, F. N., & Tileubay, S. (2026). Artificial intelligence in mathematics education: A PRISMA-based systematic literature review (2021-2025). European Journal of STEM Education, 11(1), Article 43. https://doi.org/10.20897/ejsteme/19221

q2 · i? · review · r3

Review synthesis on the digital access gap [S21, G26]: without measures to broaden access, technological innovation may reproduce rather than reduce existing educational inequalities. Academic-integrity concerns cite [S14, G40, S10].

"The costs of high -quality tutoring systems and specialised Math -LLMs can place them beyond the reach of some schools and households."

Discussion¶

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