Use this guide when deciding whether AI is appropriate in your teaching or in student assignments.
Examples include:
• report comments involving concerns
• behavioural or wellbeing documentation
• discipline referrals
• academic integrity investigations
• IEP or learning support documentation
• final grading decisions
➡ YES
Do not use AI.
These tasks require full human judgment and authorship.
➡ NO
Move to Step 2.
Examples:
• student names
• grades or assessment records
• learning support information
• counselling notes
• personal information
➡ YES
Only use AI within approved secure systems.
Do not enter identifiable student data into public AI tools.
➡ NO
Move to Step 3.
Examples:
• brainstorming lesson ideas
• drafting unit outlines
• generating practice questions
• designing rubrics
• creating differentiation strategies
➡ AI use is appropriate.
Always review outputs for accuracy and bias.
Examples:
• polishing clarity of emails
• refining tone of newsletters
• improving readability of documents
➡ AI may assist, but ensure the final message reflects your voice.
Examples:
• designing project-based learning
• generating interdisciplinary ideas
• creating new assessment formats
➡ AI use encouraged with human oversight.
Choose the appropriate Student AI Stoplight level.
Use when assessing:
• foundational skills
• independent reasoning
• writing ability
• core knowledge
Use when students may:
• explore ideas
• generate outlines
• ask questions
Students must produce their own work.
Use when students complete a draft first, then use AI to improve clarity or grammar.
Use when AI supports:
• research assistance
• data analysis
• coding help
• creative exploration
Define which parts AI can be used for.
Use when the goal is:
• exploring AI capabilities
• creative experimentation
• advanced problem solving
Students must still understand and explain their work.
If AI is allowed, consider requiring Proof of Thinking, such as:
• draft history
• reflection statements
• prompt logs
• process journals
• oral explanation of work
This helps evaluate learning, not just output.
Before using AI in teaching or allowing it in assignments, ask yourself:
• Does this support student thinking rather than replace it?
• Does this protect student privacy?
• Would students and families still trust the process?
• Does this reflect my professional judgment?
If the answer is yes, AI use likely aligns with the GNS policy.