Integrating generative artificial intelligence in secondary mathematics education: An inclusive pedagogy framework for visually impaired learners

Artigo2026

Joyce W. Gikandi

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Resumo

Widespread access to digital technologies including artificial intelligence has expanded opportunities for developing nations to enhance special education. However, existing research reveal limited pedagogical frameworks to guide integration of Generative artificial intelligence (Gen-AI) in teaching and learning for the visually impaired. Additionally, while mathematics education has continued to receive increased attention, limited studies exist on strategies for improving achievement in mathematics for learners with visual impairment (VI). Towards filling this gap, this paper focuses on development of a pedagogical framework that can inform integration of Gen-AI in teaching secondary mathematics to enhance inclusivity of learners with VI. The paper adopts a review-based methodology, particularly a systematic qualitative review approach, to examine and synthesize existing research from peer-reviewed sources. The scope of the review was mainly tool-specific with a focus on inclusive education for learners with VI. The findings show that Gen-AI can potentially enhance mathematics education for learners with VI. The findings underscore the fundamental pedagogical design elements that are instrumental in stimulating inquiry-based learning and interactive collaboration. Additionally, teachers’ input in course design and addressing potential ethical limitations of Gen-AI content is crucial. The theories of problem-based learning, flow and TPACK are considered important foundations for guiding Gen-AI integration. The proposed framework is useful in guiding mathematics teachers, policy makers and future research focusing on integration of Gen-AI in teaching mathematics for learners with VI. The framework offers a design-based research approach guided by congruent theories towards informing Gen-AI based interventions that can enhance mathematics education.

Dados da obra

Tipo
Artigo
Periódico
International Journal of Educational Management and Development Studies, v. 7, n. 2, p. 48-76
Editora
Institute of Industry and Academic Research Incorporated
Ano
2026 (2026-06)
Idioma
en
Palavras-chave
inclusive education; interactive learning; multi-modal pedagogy; mathematics education
Temas
Inclusão, Tecnologias Digitais
DOI
10.53378/ijemds.353363
ISSN
2719-0633, 2719-0641
Acesso
Acesso aberto
Fontes
DOAJ — Directory of Open Access Journals
Na Biblioteca desde
01/10/2026 · verificada em 03/10/2026

Como citar

ABNT
GIKANDI, Joyce W.. Integrating generative artificial intelligence in secondary mathematics education: An inclusive pedagogy framework for visually impaired learners. International Journal of Educational Management and Development Studies, v. 7, n. 2, p. 48-76, 2026. DOI: https://doi.org/10.53378/ijemds.353363.

APA

Gikandi, J. W. (2026). Integrating generative artificial intelligence in secondary mathematics education: An inclusive pedagogy framework for visually impaired learners. International Journal of Educational Management and Development Studies, 7(2), 48-76. https://doi.org/10.53378/ijemds.353363

BibTeX
@article{gikandi2026,
  author = {Gikandi, Joyce W.},
  title = {Integrating generative artificial intelligence in secondary mathematics education: An inclusive pedagogy framework for visually impaired learners},
  year = {2026},
  journal = {International Journal of Educational Management and Development Studies},
  volume = {7},
  number = {2},
  pages = {48-76},
  publisher = {Institute of Industry and Academic Research Incorporated},
  doi = {10.53378/ijemds.353363},
  language = {en}
}
RIS
TY  - JOUR
AU  - Gikandi, Joyce W.
TI  - Integrating generative artificial intelligence in secondary mathematics education: An inclusive pedagogy framework for visually impaired learners
PY  - 2026
JO  - International Journal of Educational Management and Development Studies
VL  - 7
IS  - 2
SP  - 48
EP  - 76
DO  - 10.53378/ijemds.353363
LA  - en
ER  - 

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

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