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Eight-dimension AI competency framework for K-12 students

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Evidence · 1 claim (1 for) · 1 study (1 design), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description

A competency framework developed by Thomas K. F. Chiu and colleagues to organize and assess how K–12 students can use AI ethically, safely, healthily, and productively across eight learning-related dimensions.

Components

  • Eight-dimension AI competency framework for K-12 students grounded in teacher perspectives: The framework defines student AI competency as the capacity "to use AI to support their learning ethically, healthily, and productively" across eight dimensions: Interdisciplinary Learning with AI (ILAI), Assessment with AI (ASAI), Decision Making with AI (DMAI), Data, Ethics, and AI (DEAI), Designing AI (DGAI), Multimedia Creation with AI (MCAI), Human-Centric Learning (HCLG), and Confidence with AI (CFAI). It was derived from teacher panelists via Delphi consensus and extends UNESCO's four-component framework by adding learning-activity dimensions such as interdisciplinary learning, assessment, and multimedia creation. Each dimension is elaborated with example competencies, e.g., judging AI-generated essays (DMAI) and protecting personal data (DEAI). (Thomas K. F. Chiu et al. (2025))

Claims

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Key Sources

  • Thomas K. F. Chiu, Murat Çoban, Ismaila Temitayo Sanusi, Musa Adekunle Ayanwale. (2025). Validating student AI competency self-efficacy (SAICS) scale and its framework. Education Tech Research Dev. https://doi.org/10.1007/s11423-025-10512-y
Page metadata
Field Value
type product
id eight-dimension-ai-competency-framework-for-k-12-students
title Eight-dimension AI competency framework for K-12 students
description A competency framework developed by Thomas K.
status review
product_kind framework
generated by process:settle-candidates on 2026-10-29
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