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The artifact is one signal. Add another.

Reasonline Assess turns student work into a structured adaptive follow-up that creates additional evidence of what a student can explain, apply, challenge, and defend.

Students get another opportunity to demonstrate capability. You get a stronger evidence record for academic judgment.

Reasonline Assess — live preview

Illustrative

Student’s submitted work

“We recommend entering the market in Q3 — brand awareness is strong.”

What evidence supports that awareness claim?

See the full sample →

From submitted work to a visible line of reasoning.

Bring the work

A paper, case, design, or standalone prompt.

Set what matters

Purpose, criteria, rounds, timing, boundaries.

Adaptive follow-up

A vague answer triggers clarification; a strong one moves toward transfer.

Evidence record

Original work, questions, responses, and connections — for your review.

George asks. Students explain. Instructors decide.

See a sample assessment.

Step through it the way a student would: the grounding task, George’s adaptive questions, and the evidence record an instructor reviews afterward. No account required.

A prebuilt walkthrough with fixed example content, not a live AI session — it shows the real product interface, not a generated conversation.

Live product UI — Reasonline Assess (sample, no account required)

Assessment task

Evaluate a market-entry recommendation using relevant evidence and identify the trade-offs that matter.

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Student's submitted work

Excerpt

“We recommend entering the Southeast market in Q3. Consumer surveys show strong brand awareness, and our unit economics improve once we reach regional scale. We should move quickly before a competitor claims the segment.”

Step 1 of 6

A second signal — not a verdict.

Reasonline Assess does not need to tell you “This student used AI” or “This student definitely mastered the material.” The purpose is not certainty. It is stronger evidence — you still decide what it means.

George asks the next useful question.

Depending on the evidence available, George may ask for clarification, probe a claim, or change a condition. Adaptive does not mean unlimited — the instructor controls the rounds, timing, and stopping rules.

Context

Capstone recommendation — evaluate a market-entry strategy.

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Student

We recommend entering the Southeast market in Q3, based on strong consumer brand awareness.

Step 1 of 4

Assess in the format that fits the work.

Artifact follow-up

Ground questions in the student's own paper, spreadsheet, or design.

Case or scenario

Judgment inside a situation that can change as the dialogue develops.

Written adaptive

Probe reasoning across connected written rounds.

Oral-style

Supported audio or video when explanation matters.

Presentation defense

Ask why choices were made and what would be revised now.

Capstone dialogue

Probe integration and reflection around major work.

Explore assessment formats →

One assessment can examine more than one level of understanding.

A market-entry assessment might begin by asking the student to explain the recommendation, then challenge an assumption, change the condition, or ask for a comparison.

Explain
Evidence
Challenge
Transfer
Compare
Revise

Review the evidence — not an AI black box.

The rubric belongs to the instructor. The evidence stays visible. The judgment stays human.

Evidence record — instructor review

AI-generated evidence summary

Traced the brand-awareness claim to specific survey data and adapted the recommendation under a changed competitive condition.

strongCited a specific figure, not a restatement of the claim.
partialDidn’t address whether the survey tested purchase intent.

Give students more than one way to respond.

Written, audio, and video modes can support different assessment purposes. Configurable accommodations can provide additional preparation or response time, and where appropriate, alternate approved response modes — the format should serve the academic purpose.

Assess capability. Don’t guess authorship.

Reasonline does not depend on reliably classifying who — or what — wrote a submission. The more useful question is: what can this student demonstrate now?

Evidence has context.

A student may perform differently while using AI, after coaching, or under another instructor-configured condition. Evidence Context preserves those differences.

What Reasonline Assess is — and what it isn’t.

Assess is designed for important work where explanation, reasoning, or defense matter. It is not primarily an AI detector, authorship classifier, or autonomous grader. You do not need adaptive follow-up on every assignment — use it where the polished submission leaves an important question. The point is not to add more assessment. It is to add another signal where another signal is worth having.

Try Reasonline Assess free.

Bring one real assessment and decide whether another signal actually helps.

  • One live assessment
  • Up to 35 students
  • Up to three adaptive dialogue rounds per student
  • Supported written, audio, and video response options
  • Evidence records
  • Unlimited instructor previews and self-tests
  • No credit card required

The submission shows the result. Give students a chance to show the reasoning.