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Computational Thinking and AI Literacy Integration in Mathematics Education: Design Principles for Curricular and Instructional Innovations

Artigo2026

Oi-Lam Ng; Huiyan Ye; Zhihao Cui; Ziyan Lin; Yun Dai

Metadados apenas Página oficial: Computational Thinking and AI Literacy Integration in Mathematics Education: Design Principles for Curricular and Instructional Innovations (abre em nova aba)

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Resumo

Integrating computational thinking (CT) and artificial intelligence (AI) to foster interdisciplinary learning has received much-needed attention worldwide in educational research, though less emphasis has been placed on simultaneously developing CT and AI learning outcomes in disciplinary (e.g., mathematics) classroom contexts. CT and AI are closely linked to mathematics, where knowledge of data practices, mathematical modelling, and generic skills such as problem-solving are highly emphasized. This paper reports on a design-based research study with four design cycles, aiming to generate empirically grounded design principles for curricular and instructional innovations in school mathematics contexts that simultaneously support CT and AI learning. Drawing upon the theoretical perspectives of CT as modelling and programming as white-boxing, and taking exemplary tasks developed from our design-based study, we detail four design principles: (1) Encourage tinkering with computational artefacts; (2) Leverage CT as modelling for authentic problem-solving; (3) Consider tool-based developmental trajectories; and (4) Exploit the white-box effect to foster mathematical and AI literacy. From this, we conceive mathematics, CT, and AI as interconnected disciplines, where learning outcomes are not treated separately but rather as translatable across different disciplinary boundaries. We conclude by discussing the opportunities and challenges of implementing the curricular and instructional designs, offering insights to inform how CT and AI concepts and processes can be meaningfully embedded in mathematics education.

Dados da obra

Tipo
Artigo
Periódico
ZDM: Mathematics Education
Ano
2026
Idioma
en
Palavras-chave
Computation; Thinking Skills; Artificial Intelligence; Digital Literacy; Mathematics Education; Curriculum Development; Instructional Innovation; Technology Uses in Education; Design; Interdisciplinary Approach
Temas
Currículo, Modelagem Matemática, Pensamento Computacional, Resolução de Problemas
ISSN
1863-9690
Acesso
Metadados apenas
Fontes
ERIC — Education Resources Information Center
Na Biblioteca desde
01/11/2026 · verificada em 01/11/2026

Como citar

ABNT
NG, Oi-Lam et al.. Computational Thinking and AI Literacy Integration in Mathematics Education: Design Principles for Curricular and Instructional Innovations. ZDM: Mathematics Education, 2026. Disponível em: http://dx.doi.org/10.1007/s11858-026-01795-3. Acesso em: 5 nov. 2026.

APA

Ng, O. L., Ye, H., Cui, Z., Lin, Z., & Dai, Y. (2026). Computational Thinking and AI Literacy Integration in Mathematics Education: Design Principles for Curricular and Instructional Innovations. ZDM: Mathematics Education. http://dx.doi.org/10.1007/s11858-026-01795-3

BibTeX
@article{ng2026,
  author = {Ng, Oi-Lam and Ye, Huiyan and Cui, Zhihao and Lin, Ziyan and Dai, Yun},
  title = {Computational Thinking and AI Literacy Integration in Mathematics Education: Design Principles for Curricular and Instructional Innovations},
  year = {2026},
  journal = {ZDM: Mathematics Education},
  url = {http://dx.doi.org/10.1007/s11858-026-01795-3},
  language = {en}
}
RIS
TY  - JOUR
AU  - Ng, Oi-Lam
AU  - Ye, Huiyan
AU  - Cui, Zhihao
AU  - Lin, Ziyan
AU  - Dai, Yun
TI  - Computational Thinking and AI Literacy Integration in Mathematics Education: Design Principles for Curricular and Instructional Innovations
PY  - 2026
JO  - ZDM: Mathematics Education
UR  - http://dx.doi.org/10.1007/s11858-026-01795-3
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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