AI Literacy & Fluency Framework

For International Higher Education

Overview
Competency Table
Learning Pathway
Guiding Principles

Five Core Pillars

Building comprehensive AI competencies for the global education sector

1Foundational Understanding

Master core AI concepts, evolution, capabilities, limitations, and ethical considerations essential for informed engagement with AI technologies.

2Effective & Ethical Application

Develop practical skills in task delegation, prompt engineering, and content creation while maintaining ethical standards and best practices.

3Critical & Contextual Evaluation

Build capabilities to assess AI quality, identify bias, and ensure cultural sensitivity in international education contexts.

4Collaborative & Innovative Engagement

Leverage AI as a creative partner for innovation, problem-solving, and exploring new possibilities in education.

5Responsible Stewardship

Champion ethical AI use, maintain transparency, and commit to continuous learning in our rapidly evolving technological landscape.

AI Competency Table

Interactive framework mapping 24 essential competencies

Understanding
Application
Evaluation
Innovation
Stewardship
1.1
Ai
AI Definition
1.2
Ca
Capabilities
1.3
Tl
Tool Landscape
1.4
Et
Ethics
1.5
Da
Data & AI
2.1
Td
Task Delegation
2.2
Pe
Prompting
2.3
Ir
Info Retrieval
2.4
Cc
Content Creation
2.5
Co
Communication
3.1
Qa
Quality
3.2
Bi
Bias
3.3
Te
Tool Eval
3.4
Cx
Context
3.5
Hd
Human-AI
4.1
Ap
AI Partner
4.2
In
Innovation
4.3
Ag
AI Agents
4.4
Cr
Creativity
5.1
Ed
Ethics
5.2
Ta
Transparency
5.3
Ds
Data Care
5.4
Ll
Lifelong

Progressive Learning Pathway

Your journey from AI awareness to AI leadership

Acquire

Build foundational understanding

Apply

Practice ethical use

Analyze

Develop critical evaluation

Create

Innovate with AI

Lead

Champion responsible AI

Guiding Principles

Core values that shape our approach to AI literacy

Human-Centricity

AI serves to augment human capabilities and support human flourishing in education.

Ethical Imperative

All AI engagement must be guided by fairness, justice, and equity principles.

Critical Inquiry

A questioning and analytical mindset is essential when interacting with AI systems.

Practical Relevance

Competencies should be applicable to real-world IHE tasks and challenges.

Inclusivity & Equity

AI literacy must be accessible and beneficial to all members of the IHE community.

Global Perspective

Recognizing and addressing international and cross-cultural dimensions of AI use.