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Student

Get assignment-aware tutoring

Let students ask for help in the context of the specific course, assignment, and instructor-defined AI policy.

An early-stage product direction. The interface and scenario below are illustrative, not production screenshots or customer results.

Illustrative concept · Student
RedAPPLSample workspace

Assignment tutor

Research proposal · Concept help
Does this evidence support my claim?
RedAPPL

What connection do you see between the evidence and your claim? Let's examine that connection.

Why it matters

Helpful support depends on the task a student is working on.
Instructional boundaries should accompany the conversation.
Tutoring can focus on understanding rather than producing a submission.

Designed workflow

How it works

  1. Enter the workspace for the selected assignment.
  2. Ask a question about a concept or approach.
  3. Receive support designed around the assignment context and permitted capabilities.

Example scenario

Put it in context.

A student is developing an argument for a research proposal.

A sample interaction to explain the intended experience.

Example request
How can I tell whether my evidence supports my claim?
Applicable policy
Concept clarification and guiding questions are permitted.
Illustrative RedAPPL behavior
An illustrative tutor asks the student to connect one piece of evidence to their claim and consider its limitations.
Intended next step
The student has a next step for evaluating their own argument.

Bring your university context to the conversation.

Request a demo or discuss how your institution could help shape RedAPPL as a design partner.