AI Literacy Among Future Math Educators: The Mediating Role of Digital Literacy in Mathematics Teaching

Artigo2025

Anjie Manulat Manto; Gelyn E. Señedo; Feachy Gay E. Jauculan; Mary Shein Q. Giangan; Gerly A. Alcantara ORCID

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Resumo

The use of artificial intelligence (AI) in mathematics teaching emphasizes the necessity for future educators to develop digital literacy (DL) and AI literacy (AIL). Despite increasing attention being paid to these competencies, little is known about how DL influences AIL among pre-service mathematics teachers. A descriptive correlational research design was used in this study to assess the levels of DL and AIL, explore their relationship, and profile participants based on gender and year level. Teachers (AILST)instruments, including the Digital Literacy Scale and AI Literacy Scale for Teachers (AILST), measured four AIL dimensions: perception, knowledge and skills, application and innovation, and ethics. Digital literacy was evaluated concurrently. The data were analyzed using IBM SPSS Statistics (version 21). Descriptive statistics (means and standard deviations) summarized overall literacy levels. To determine relationships, Pearson’s r was used to assess the correlation between digital and AI literacy, Spearman’s rho examined associations with year level, and the chi-square test explored the relationship between gender and literacy variables. Results showed that pre-service teachers had above-average competence of DL and AIL, with a moderate positive correlation between the two, indicating that greater digital fluency supports stronger AI-related competencies. However, notable gaps persist in applying AI for innovation and in critically evaluating AI-generated content. These findings indicate the need to integrate DL and AIL in teacher education programs to prepare aspiring mathematics educators for ethical, effective, and innovative AI use in classrooms, thereby contributing to research-informed instructional practices and responsive curriculum development.

Dados da obra

Tipo
Artigo
Periódico
International Journal of Learning Teaching and Educational Research, v. 24, n. 7, p. 753-775
Editora
Tresorix Ltd
Ano
2025 (2025-07-25)
Palavras-chave
AI literacy; digital literacy; pre-service mathematics teachers; mathematics teacher education; AI ethics; AI-generated content evaluation; gender differences; teacher education curriculum
Temas
Currículo, Formação de Professores de Matemática
DOI
10.26803/ijlter.24.7.37
ISSN
1694-2116, 1694-2493
Acesso
Acesso aberto
Fontes
OpenAlex
Na Biblioteca desde
01/10/2026 · verificada em 03/10/2026

Como citar

ABNT
MANTO, Anjie Manulat et al.. AI Literacy Among Future Math Educators: The Mediating Role of Digital Literacy in Mathematics Teaching. International Journal of Learning Teaching and Educational Research, v. 24, n. 7, p. 753-775, 2025. DOI: https://doi.org/10.26803/ijlter.24.7.37.

APA

Manto, A. M., Señedo, G. E., Jauculan, F. G. E., Giangan, M. S. Q., & Alcantara, G. A. (2025). AI Literacy Among Future Math Educators: The Mediating Role of Digital Literacy in Mathematics Teaching. International Journal of Learning Teaching and Educational Research, 24(7), 753-775. https://doi.org/10.26803/ijlter.24.7.37

BibTeX
@article{manto2025,
  author = {Manto, Anjie Manulat and Señedo, Gelyn E. and Jauculan, Feachy Gay E. and Giangan, Mary Shein Q. and Alcantara, Gerly A.},
  title = {AI Literacy Among Future Math Educators: The Mediating Role of Digital Literacy in Mathematics Teaching},
  year = {2025},
  journal = {International Journal of Learning Teaching and Educational Research},
  volume = {24},
  number = {7},
  pages = {753-775},
  publisher = {Tresorix Ltd},
  doi = {10.26803/ijlter.24.7.37}
}
RIS
TY  - JOUR
AU  - Manto, Anjie Manulat
AU  - Señedo, Gelyn E.
AU  - Jauculan, Feachy Gay E.
AU  - Giangan, Mary Shein Q.
AU  - Alcantara, Gerly A.
TI  - AI Literacy Among Future Math Educators: The Mediating Role of Digital Literacy in Mathematics Teaching
PY  - 2025
JO  - International Journal of Learning Teaching and Educational Research
VL  - 24
IS  - 7
SP  - 753
EP  - 775
DO  - 10.26803/ijlter.24.7.37
ER  - 

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

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