AI+ Student Workbook
Practice companion to AI+ Students
Practice companion to T1-03.
You know PRISM. Now run it on the essay due Friday.
You finished *AI+ Students*. You can explain PRISM and the Learning or Outsourcing? test in a seminar. Your actual essay pile hasn't changed. This workbook gives you 40 structured exercises, a calibration drill that catches a fabricated citation before it catches you, and a real prompt library — built entirely from your own modules, your own reading, your own deadlines. Built by an AI engineering firm for students who already understand the theory — and are ready to run it on the work due this term.
- 40 structured exercises across four weeks — built entirely from your own reading, drafts, revision, and group work
- 1 calibration drill — catch a fabricated citation and an under-declared AI use before they cost you marks
- PRISM and TRUST — applied to your real concept learning, research, and essay drafts
- The Learning or Outsourcing? test — run on your own past and current submissions, not a hypothetical
- A personal prompt library and AI Safety Rules card — built for your actual subject and kept for the rest of your degree
The same undergraduate population as T1-03 — but specifically the reader who has finished T1-03 (cover to cover, or the parts most relevant to them) and is ready to apply it. They can describe PRISM, TRUST, and the Learning or Outsourcing? test in a seminar conversation. They have not yet run any of them against their own coursework.
Also for:A module or personal tutor group working through T1-03 together as a cohort; a university study-skills or academic-support team running the workbook as a facilitated session; a postgraduate taught student using it as a structured refresher.
- Has applied the PRISM Prompting Framework to real study tasks — concept explanation, problem-solving, drafting, revision, presentations — across 40 structured exercises
- Has applied the TRUST Framework to real research and writing outputs, and caught a seeded fabricated-citation/under-declared-AI-use error in a calibration drill
- Has applied the Learning or Outsourcing? test to a real submission and produced an honest, specific AI-use declaration
- Has applied the AI Safety Checklist (GUARD) to real academic pastes and built a personal AI data protocol
- Has produced a real prompt library, a real revision plan, and a real digital-footprint audit spanning their own coursework
- Week 1
- Foundations and Prompting
- Week 2
- Research and Writing
- Week 3
- Studying, Exams and Presentations
- Week 4
- Integrity and Safety
- Back matter
- Skill Summary · Recommended Next Reads · Glossary · Tool Reference
Built by an AI engineering firm for students who already understand the theory — and are ready to run it on the work due this term.
