EPIQ-AI Readiness Framework

Product or Programme · All products and programmes
Evidence · 4 claims (4 for) · 1 study (1 review), q2 · 0 of 1 report an effect size · 4 claims rest on one study

Description

A framework developed by Sangwa et al. for evaluating and aligning higher-education faculty and institutional capacities for credible, policy-compliant AI-supported teaching and online delivery.

Components

Claims

• Faculty adoption of GenAI is widespread but instructional confidence remains low, so adoption prevalence should not be misread as instructional readiness [+M]
• Institutional AI policy formation lags behind practical AI presence in coursework, leaving many faculty in policy vacuums [+M]
• Detection-centered academic integrity regimes are unreliable and potentially biased, making sole reliance on AI detectors unsuitable for high-stakes decisions [+M]
• A majority of faculty believe student evaluation methods require significant change, and preferences tilt toward disclosure-based permission regimes over bans [+M]

Related Products and Programmes

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Key Sources

• Sangwa, S., Ndahayo, C., Dusengumuremyi, F., & Mutabazi, P. (2025). Faculty Readiness for AI-Supported Teaching and Scalable Online Program Delivery in Higher Education: The EPIQ-AI Framework for Epistemic Integrity. https://doi.org/10.35542/osf.io/kj4vt_v1

Page metadata

Field	Value
type	product
id	epiq-ai-readiness-framework
title	EPIQ-AI Readiness Framework
description	A framework developed by Sangwa et al.
status	review
product_kind	framework
generated	by process:settle-candidates on 2026-10-12
trust	unverified — no one has confirmed this page's content

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