SAIL embeds Indigenous and cultural perspectives as integral competencies across all domains and levels rather than as add-ons¶

Claim · All claims
Evidence · 1 study · design r2 · q1
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q1 i? The framework embeds Indigenous and cultural competencies across multiple domains and levels, progressing from recognising Indigenous knowledge at Level 1 to co-developing AI initiatives in partnership with Indigenous communities at AI++. → MacCallum K. 2026

Evidence¶

MacCallum K. 2026¶

MacCallum K., Parsons D. & Mohaghegh M. (2026). The Scaffolded AI Literacy (SAIL) Framework: Results of a Delphi Study for Equitable AI Literacy Framework Design in Education. Computers and Education: Artificial Intelligence. https://doi.org/10.1016/j.caeai.2026.100584

q1 · i? · design · r2

Authors' description of the framework's cultural-equity design (Section 6.2), grounded in the New Zealand bicultural context and Indigenous data sovereignty. Key ideas cited include Indigenous perspectives of AI (#5), AI and Culture (#22), and AI and Cultural Diversity (#29). No empirical evaluation is reported.

"By structuring these competencies across levels, the framework ensures that cultural and Indigenous perspectives are not treated as add-ons but as integral to AI literacy at every stage."

Discussion¶

Related Claims¶

• A three-round Delphi study with 17 experts from education, industry, and cultural expertise produced the SAIL AI literacy framework — related
• Delphi and wider-review feedback led Level 4 to be repositioned as beyond AI literacy, clarifying the boundary of AI literacy — related
• SAIL is designed to address second- and third-level digital divides through scaffolded skills and explicitly embedded equity competencies — related