Course details
What you’ll learn
- Critical understanding of AI capabilities and limitations
- Practical competence across reading, writing, teaching, and research
- Professional judgement for meaningful engagement
- Ethical awareness aligned with scholarly values
- Foundational literacy that evolves as technology changes
Course format
- Duration: 10-12 hours
- Level: All levels
- Format: Self-paced with practical activities
- Status: Published
Develop multidimensional capability with generative AI for academic work
This course develops comprehensive AI literacy across six interconnected dimensions, using a developmental framework that moves from basic competence through adaptation to transformation. No prior AI experience required.
What AI literacy means
AI literacy isn’t about learning software or creating better prompts. It’s about developing integrated capability across six interconnected dimensions of literacy:
- Access and recognition: Understanding when, where, and how AI is relevant to your work
- Critical evaluation: Assessing AI outputs for quality, reliability, and limitations
- Functional application: Using AI effectively across diverse academic contexts
- Creation and communication: Generating meaningful scholarly outputs while maintaining your distinctive voice
- Ethical awareness: Understanding implications for academic integrity and scholarly values
- Contextual judgement: Developing professional taste about when AI enhances versus undermines your work
The course map
The course moves through four developmental stages. The six dimensions above aren’t taught one at a time—they develop together, deepening at each stage. Each stage is anchored by a signature capability.
| Stage (lessons) | What you build | Signature capability |
|---|---|---|
| Foundation (1–2) | A working mental model of AI, and how to communicate with it | The RGID prompting framework |
| Substitution (3–5) | Applying AI to existing tasks—content, reading, writing—without changing your practice | Honest evaluation of when AI actually helps |
| Adaptation (6–8) | Reshaping practice—building competence, developing arguments, framing problems | Evaluative and contextual judgement |
| Transformation (9–11) | Making AI part of your professional infrastructure | Context sovereignty, taste, and structural integration |