Resources
Notes for teachers, lecturers and school leaders on reading how students actually work with AI, instead of guessing from the finished text.
IB teachers: what to check for AI in the IA before you authenticate it
The IB leaves IA authentication to the subject teacher. Five checks for the one draft you read, mapped to the IB's 13 AI scenarios.
Student AI chat logs: what their questions reveal about their thinking
Ten signals for reading students' AI chat logs for understanding, not for catching, with example prompts and one rubric criterion to add to an assignment.
Take-home finals when students use AI: five formats compared
Five take-home final formats side by side, what each one lets you see when students use AI, and an AI block to paste into the instructions.
Can you act on a Turnitin AI score? What university instructors should know
What the research and Turnitin's own documents say about AI detector accuracy, which universities switched detection off, and what instructors read instead.
Does the IB check for AI? How teachers authenticate EE and IA work
The four checks the IB expects before a teacher authenticates coursework, what the 2027 Extended Essay adds, and the evidence to keep when students use AI.
University instructors: how to change essay assignments for ChatGPT
Staged drafts, oral checks, in-class writing, AI chat logs or a process record: five ways to run a university essay assignment, compared.
Brisk Inspect Writing vs Cognity: which should a teacher use?
Brisk Inspect Writing replays how a Google Doc was written. Cognity records the AI conversation itself. What each one shows a teacher, and when to use which.
What is a process portfolio, and how do you assess one?
When AI can produce any finished text, the finished text stops being evidence of learning. A process portfolio is what replaces it, and it is more useful than the essay ever was.
IB AI policy checklist: 9 questions for coordinators
The IB requires AI-generated work to be credited in the text and bibliography. Here is a nine-point checklist for coordinators turning that requirement into a policy teachers can run.
Teachers: how to write AI rules for one assignment, with examples
School-wide AI policies are too broad to teach from. Here is how to write AI rules for a single assignment, with three worked examples a teacher can copy.
Teachers: what to say when a student pastes from ChatGPT
A script for the conversation after a student hands in AI-generated text. Not an accusation, not a tribunal. Five questions that lead somewhere.
Grammarly Authorship vs Cognity: which record can a teacher trust?
Grammarly Authorship lets a student prove how a document was written. Cognity lets a teacher set the rules and read the whole process. An honest comparison of what each record contains.
Teachers: how to tell if a student used ChatGPT, without a detector
Why the text can't settle it, why detectors don't either, and three ways to see how a student actually worked.
Turnitin Clarity vs Cognity: a comparison for school leaders
Both tools show teachers how student writing was produced. They differ in where the AI lives, who buys them, and what the record contains. An honest comparison.
An AI acknowledgement template for IB and international schools
The IB requires AI-generated work to be credited in the text and bibliography. A plain acknowledgement template your students can copy, and how a teacher can check it against a record.