The B-AIMT: development and initial validation of a domain-specific instrument for assessing mathematics teachers’ beliefs about artificial intelligence

Artigo2026

Nils Buchholtz; Sebastian Schorcht; Katharina Bata; Lukas Baumanns; Nils Knoth; Matthias Carl Laupichler; Dana-Kristin Mah; Marie Mirsch; Norbert Noster; Franziska Peters; Marc Pinski; Hans-Stefan Siller; Sandra Sprenger; Maike Vollstedt; Jonas Wibowo

0 visualizações desta ficha 0 acessos ao texto completo Contagem real do Portal desde 25/09/2026; tráfego comum, sem testes; quem desativa o rastreamento no navegador não é contado.

Resumo

This study presents the development of the Belief Scale for Artificial Intelligence in Mathematics Teaching (B-AIMT) and provides psychometric evidence for its initial validation as a domain-specific instrument assessing teachers’ beliefs about AI in mathematics instruction. Based on data from 442 German pre-service and in-service teachers, confirmatory factor analyses provided support for a theoretically grounded multidimensional belief structure comprising nine latent belief dimensions organized within two overarching domains: beliefs about student mathematics learning with AI and beliefs about mathematics teaching with AI. The resulting subdimensions capture perceived instructional affordances, epistemic potentials, perceived risks, and ethical considerations related to AI systems. The final measurement model showed satisfactory model fit and good internal consistency. Measurement invariance analyses supported scalar invariance across pre-service and in-service teachers, allowing meaningful comparisons of latent means. These comparisons revealed generally moderate differences, with pre-service teachers reporting higher latent means on several opportunity- and risk-oriented belief dimensions. Overall, the findings suggest that teachers’ AI-related beliefs form a differentiated yet coherent belief system characterized by a balanced consideration of opportunities and risks. The B-AIMT provides a theoretically grounded instrument that can support research as well as the design and evaluation of AI-related teacher education and professional development in mathematics.

Dados da obra

Tipo
Artigo
Periódico
Frontiers in Education, v. 11
Editora
Frontiers Media S.A.
Ano
2026 (2026-09)
Idioma
en
Palavras-chave
artificial intelligence; beliefs; in-service teachers; mathematics education; pre-service teachers
Temas
Formação de Professores de Matemática
DOI
10.3389/feduc.2026.1885959
ISSN
2504-284X
Acesso
Acesso aberto
Fontes
DOAJ — Directory of Open Access Journals
Na Biblioteca desde
01/10/2026 · verificada em 03/10/2026

Como citar

ABNT
BUCHHOLTZ, Nils et al.. The B-AIMT: development and initial validation of a domain-specific instrument for assessing mathematics teachers’ beliefs about artificial intelligence. Frontiers in Education, v. 11, 2026. DOI: https://doi.org/10.3389/feduc.2026.1885959.

APA

Buchholtz, N., Schorcht, S., Bata, K., Baumanns, L., Knoth, N., Laupichler, M. C., Mah, D. K., Mirsch, M., Noster, N., Peters, F., Pinski, M., Siller, H. S., Sprenger, S., Vollstedt, M., & Wibowo, J. (2026). The B-AIMT: development and initial validation of a domain-specific instrument for assessing mathematics teachers’ beliefs about artificial intelligence. Frontiers in Education, 11. https://doi.org/10.3389/feduc.2026.1885959

BibTeX
@article{buchholtz2026,
  author = {Buchholtz, Nils and Schorcht, Sebastian and Bata, Katharina and Baumanns, Lukas and Knoth, Nils and Laupichler, Matthias Carl and Mah, Dana-Kristin and Mirsch, Marie and Noster, Norbert and Peters, Franziska and Pinski, Marc and Siller, Hans-Stefan and Sprenger, Sandra and Vollstedt, Maike and Wibowo, Jonas},
  title = {The B-AIMT: development and initial validation of a domain-specific instrument for assessing mathematics teachers’ beliefs about artificial intelligence},
  year = {2026},
  journal = {Frontiers in Education},
  volume = {11},
  publisher = {Frontiers Media S.A.},
  doi = {10.3389/feduc.2026.1885959},
  language = {en}
}
RIS
TY  - JOUR
AU  - Buchholtz, Nils
AU  - Schorcht, Sebastian
AU  - Bata, Katharina
AU  - Baumanns, Lukas
AU  - Knoth, Nils
AU  - Laupichler, Matthias Carl
AU  - Mah, Dana-Kristin
AU  - Mirsch, Marie
AU  - Noster, Norbert
AU  - Peters, Franziska
AU  - Pinski, Marc
AU  - Siller, Hans-Stefan
AU  - Sprenger, Sandra
AU  - Vollstedt, Maike
AU  - Wibowo, Jonas
TI  - The B-AIMT: development and initial validation of a domain-specific instrument for assessing mathematics teachers’ beliefs about artificial intelligence
PY  - 2026
JO  - Frontiers in Education
VL  - 11
DO  - 10.3389/feduc.2026.1885959
LA  - en
ER  - 

Referência gerada automaticamente a partir dos metadados das fontes; confira com o documento original. Baixar BibTeX · Baixar RIS

Obras relacionadas

Obras do acervo corrente com mais temas em comum.

Acessibilidade

As escolhas valem em todas as páginas internas e ficam só neste navegador. Atalho: tecla de acesso 5.

Perfis rápidos

Ajustes

Sobre a acessibilidade do Portal