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Research Summary: The B-AIMT: development and initial validation of a domain-specific instrument for assessing mathematics teachers’ beliefs about artificial intelligence
- 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 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 study conducted in Germany has developed and initially validated the Belief Scale for Artificial Intelligence in Mathematics Teaching (B-AIMT), an instrument designed to assess mathematics teachers' beliefs regarding AI in instructional settings. Based on data from 442 German pre-service and in-service teachers, the instrument identifies nine latent belief dimensions across two main domains: beliefs about student mathematics learning with AI and beliefs about mathematics teaching with AI. These dimensions include perceptions of instructional benefits, epistemic potentials, risks, and ethical considerations.
Why it matters
This development provides a structured method for understanding the perspectives of educators on emerging technologies like AI. Accurately assessing teacher beliefs is crucial for informing effective policy, training, and integration strategies for AI tools within educational systems globally. It highlights the complex interplay of perceived benefits, risks, and ethical considerations that will shape the future adoption of AI in learning environments.
Key insights
- Development and initial validation of the Belief Scale for Artificial Intelligence in Mathematics Teaching (B-AIMT).
- The B-AIMT is a domain-specific instrument for assessing mathematics teachers’ beliefs about AI in instruction.
- Data from 442 German pre-service and in-service teachers supported the instrument's structure.
- The instrument identified a multidimensional belief structure comprising nine latent dimensions.
- These dimensions are organized into two overarching domains: beliefs about student mathematics learning with AI and beliefs about mathematics teaching with AI.
- Subdimensions capture perceived instructional affordances, epistemic potentials, perceived risks, and ethical considerations related to AI systems in education.
Source
Frontiers in Education — https://www.frontiersin.org/articles/10.3389/feduc.2026.1885959
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- Verification ID
- ASA-EXE-2026-00972
- Version
- v1.0 · r0
- Issued
- 28 September 2026
- Resource prepared by
- Aziz Shuaib Ausi
- Resource status
- Research Summary / Knowledge Resource
- Underlying work
- The B-AIMT: development and initial validation of a domain-specific instrument for assessing mathematics teachers’ beliefs about artificial intelligence
- 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.