Executive Guide
Research Summary: Applications, multidimensional challenges, and innovative pedagogical practices of generative AI in mathematics education: a systematic review 2022–2026
- Original authors
- Attribution requires verification
- Original source
- Frontiers in Education
- Summary & Analysis prepared by
- Aziz Shuaib Ausi
- Resource type
- Research Summary / Knowledge Resource
- Resource published on AZIZ OS
- 28 August 2026
- Last updated
- 8 October 2026
- Reading time
- 1 min
- Publication type
- Executive Guide
- Availability
- Open access
About this Summary & Analysis
AZIZ OS provides independently prepared summaries and analytical interpretations of externally published research and knowledge sources. The underlying works remain attributable to their original authors and rights holders. This resource is intended to improve accessibility and understanding and does not replace the original publication.
A systematic review of 268 articles from 2022-2026, narrowing to 66 core research articles, analyzes the application of generative AI in mathematics education. The study identifies student learning support as the dominant application area, alongside teacher instruction assistance, assessment and feedback, and special education. Generative AI demonstrates positive effects on learning motivation and personalized support, though the full scope of findings is not detailed in the provided source.
Why it matters
This research highlights the emerging role of generative AI in educational settings, particularly its potential to transform mathematics instruction and learning outcomes. Understanding these applications and their effectiveness is crucial for institutions to develop forward-looking strategies for technology integration and pedagogical innovation. It can inform resource allocation and curriculum development to leverage AI's benefits while addressing potential challenges.
Key insights
- Generative AI applications in mathematics education span student learning support (64%), teacher instruction assistance (38%), assessment and feedback innovation (27%), and special education (2%).
- Student learning support is the predominant application area for generative AI in mathematics education.
- Generative AI shows positive effects in enhancing learning motivation.
- Generative AI provides personalized support for learners.
Source
Frontiers in Education — https://www.frontiersin.org/articles/10.3389/feduc.2026.1931535
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Verification
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- Verification ID
- ASA-EXG-2026-00578
- Version
- v1.0 · r0
- Issued
- 28 August 2026
- Resource prepared by
- Aziz Shuaib Ausi
- Resource status
- Research Summary / Knowledge Resource
- Underlying work
- Applications, multidimensional challenges, and innovative pedagogical practices of generative AI in mathematics education: a systematic review 2022–2026
- Original authors
- Attribution requires verification
- Original source
- Frontiers in Education
- Provenance status
- Attribution requires verification
- Rights
- Underlying publication rights remain with the respective copyright holder(s). Refer to the original source for authoritative publication and licensing information.
This verification confirms the AZIZ OS resource record and its documented provenance. It does not establish authorship of the underlying external work.