Knowledge Resource
Research Summary: Artificial intelligence in initial teacher training for pre-service primary school teachers in mathematics: a systematic review
- 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
- 17 September 2026
- Reading time
- 1 min
- Publication type
- Knowledge Resource
- 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 literature review is being conducted to investigate the integration of Artificial Intelligence (AI) into Initial Teacher Training (ITT) programs for pre-service primary school teachers, specifically in mathematics education. This research aims to understand the approaches, characteristics, and outcomes of AI integration in these training contexts, responding to the recognized need by UNESCO for teachers to be prepared for AI use in education.
Why it matters
The integration of AI into teacher training is a critical development for ensuring the future workforce is equipped to leverage emerging technologies in foundational education. Understanding the current state and effectiveness of AI training for pre-service primary school teachers will inform strategic decisions regarding curriculum development and resource allocation for future educational systems.
Key insights
- A systematic literature review is underway to analyze AI integration in Initial Teacher Training for pre-service primary school teachers in mathematics.
- The review focuses on identifying the types, structure, and monitoring of AI training provided.
- UNESCO has acknowledged the necessity for teachers to be proficient in utilizing AI within educational settings.
- The methodology follows the PRISMA 2020 Statement, using Scopus, Web of Science, and ERIC databases.
- Eleven articles met the initial eligibility criteria for the review.
Source
Frontiers in Education — https://www.frontiersin.org/articles/10.3389/feduc.2026.1934366
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Citation
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Verification
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- Verification ID
- ASA-EXE-2026-00643
- Version
- v1.0 · r0
- Issued
- 17 September 2026
- Resource prepared by
- Aziz Shuaib Ausi
- Resource status
- Research Summary / Knowledge Resource
- Underlying work
- Artificial intelligence in initial teacher training for pre-service primary school teachers in mathematics: a systematic review
- 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.