Ethical AI and Workforce Readiness (EAWR) micro-credential framework

Product or Programme · All products and programmes
Evidence · 3 claims (3 for) · 1 study (1 associational), q2 · 0 of 1 report an effect size · 3 claims rest on one study

Description

A proposed micro-credential framework by İsmail Şan et al. that organizes AI literacy for Turkish undergraduates across functional use, algorithmic understanding, and ethical governance to support workforce readiness.

Components

Claims

• AI governance vocabulary (bias, transparency, privacy, accountability, regulation, fairness) is a structural zero in students' AI associative networks [+M]
• Algorithmic and technical-mechanism concepts are marginal in students' AI networks: machine learning was produced by a single participant across 436 respondents [+M]
• Turkish undergraduates show a use-cognition gap: 77.7% use AI tools at least several times per week while formal AI education remains low [+M]

Related Products and Programmes

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Key Sources

• İsmail Şan and Hanife Gülhan Orhan Karsak. (2026). Knowing its name, not its nature: word association mapping of student AI cognition and evidence-based micro-credential design in Turkish higher education. International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-026-00621-w

Page metadata

Field	Value
type	product
id	ethical-ai-and-workforce-readiness-eawr-micro-credential-framework
title	Ethical AI and Workforce Readiness (EAWR) micro-credential framework
description	A proposed micro-credential framework by İsmail Şan et al.
status	review
product_kind	framework
generated	by process:settle-candidates on 2026-10-11
trust	unverified — no one has confirmed this page's content

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