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IT / Admin
Set institution-wide defaults inherited by courses and assignments
Establish baseline AI policies that can flow down into courses and assignments while allowing appropriate local configuration.
An early-stage product direction. The interface and scenario below are illustrative, not production screenshots or customer results.
RedAPPLSample workspace
Policy inheritance
InstitutionBaseline AI guidance
↓ Course · Writing & inquiryInherits institutional defaults
↓ Assignment · Research proposalLocal choice: brainstorming allowed
Why it matters
Give courses a shared institutional starting point.
Make the source of a policy easier to understand.
Leave room for appropriate assignment-level configuration.
Designed workflow
How it works
- Define the institution's baseline policy.
- Review how that baseline flows into a course.
- Configure assignment-specific permissions within the permitted boundaries.
Example scenario
Put it in context.
A writing course is preparing a new research assignment.
A sample interaction to explain the intended experience.
- Example request
- Start from institutional defaults, then allow brainstorming for this assignment.
- Applicable policy
- Local choices must remain within the institution's permitted configuration.
- Illustrative RedAPPL behavior
- The proposed policy view shows inherited settings alongside local choices.
- Intended next step
- The instructor can see where each assignment setting comes from.
Bring your university context to the conversation.
Request a demo or discuss how your institution could help shape RedAPPL as a design partner.