Assessment infrastructure for an AI era

When answers are easy, assess the reasoning.

Akanya helps higher learning institutions make student evidence, judgement and revision visible inside the assessments they already run.

Designed for lecturers. Structured for institutions. Built around human judgement.

Designed for equitable, low-bandwidth assessment. No cameras. No surveillance. No additional hardware.

See how evidence, challenge and revised judgement become part of one assessment journey.

Why Akanya

The student's role is changing.

A final answer can now be fluent without showing what the student understood. Akanya keeps the answer, then adds the evidence, challenge and judgement that formed it.

01

AI can produce

A polished answer, calculation or recommendation in minutes.

02

Institutions still need to assess

Whether the student can select evidence, reason and exercise judgement.

03

Akanya makes visible

The path from evidence and initial position to challenge, adaptation and final judgement.

How Akanya works

From source material to reviewable judgement.

Akanya adds structured evidence, challenge and revision to assessments lecturers already run, then turns that journey into focused review and cohort insight.

01

Shape the assessment

The lecturer approves the source material, learning outcomes and the reasoning capabilities being assessed.

02

Capture the first judgement

Students respond using evidence and commit to an initial position, so the assessment records more than a polished final answer.

A student reflecting on source material while studying in a library.
The first position matters because the change in judgement becomes visible.
A student participating confidently in a higher learning classroom.
The outcome is evidence of understanding, not another automated score.
03

Introduce an adaptive challenge

When closer reasoning is required, Akanya asks the student to defend, qualify, modify or replace the position.

04

Review what changed

Lecturers see the reasoning journey, focused marking cues and patterns across the cohort while retaining the final academic decision.

Less time reconstructing student thinking. More useful evidence for marking, moderation and teaching.

Focused markingCohort insightReviewable reasoning
Explore the guided experience

What the assessment can see

The same student. Two different records.

A traditional submission ends at the polished answer. The reasoning journey keeps the answer and adds the basis for it.

Evidence marked decisive

Exhibit 5 (capacity at 94 percent), Exhibit 11 (cold chain at 71 percent).

Assumption stated

The second production line will not be commissioned inside eighteen months.

Initial position

Enter all three regions within eighteen months.

Response to challenge

Accepted that the eighteen month plan would launch into regions the business cannot yet serve.

Defended judgement

Staged entry, nearest region first. Position revised, reason recorded.

The same answer, with the path to it attached.

Built around lecturer realities

See what needs your judgement. See what the cohort needs next.

Akanya is designed for the work behind credible assessment: understanding what a student did with the evidence, reaching a defensible mark and deciding what to teach differently next time.

A lecturer leading a higher learning classroom.

The question is not only who produced the answer. It is whether the student can use, test and defend it.

01

Focused marking

Review with context

See the initial answer, approved evidence, challenge response and revised judgement together, with rubric-grounded cues directing attention to what needs lecturer review.

02

Cohort insight

Teach from patterns

See common answers, recurring gaps and where students changed position after challenge, supported by cohort counts and reviewable examples.

03

Human judgement

Keep academic control

Marking suggestions remain separate from the approved mark. The lecturer reviews the evidence, edits where needed and makes the final academic decision.

Professional competence

AI may support the professional. It should not replace the professional’s judgement.

Future professionals will almost certainly work with AI. Education does not need to recreate a world without technology. It does need to ensure that graduates can evaluate evidence, recognise poor recommendations, explain decisions and remain accountable for the outcome.

  • MedicineA recommendation still has to be weighed against the patient in front of you.
  • EngineeringA model output still has to be checked against the conditions on site.
  • AccountingA reconciliation still has to be interpreted before it is signed.
  • LawAn argument still has to survive the facts of the matter.
  • EducationA plan still has to meet the class that actually arrives.
  • ManagementA strategy still has to be defended to the people carrying it out.
A diverse interdisciplinary group of professionals reviewing a case together, with decision support screens in the background.

The future professional may work with AI. The qualification must still represent human competence.

Equity and access

Designed for equitable assessment.

Akanya’s core reasoning journey uses low-bandwidth written interaction on the same device used for the assessment. It does not require cameras, biometric monitoring or additional hardware.

  • No webcam requirement

    The reasoning journey is written interaction, not observation.

  • No biometric monitoring

    Nothing about the student's body or face is captured.

  • No secondary device

    The assessment runs on the device already in use.

  • Low-bandwidth interaction

    Text first, designed for constrained connections.

  • Mobile and desktop

    The same journey adapts to the screen available.

  • Configurable accommodations

    Time and component settings can be adjusted per student.

  • Institution-controlled settings

    Accessibility decisions stay with the institution.

  • Assessment adaptation should not depend on what a student can afford.

Designed for institutional confidence

Technology supports the assessment. People remain accountable for it.

Akanya is designed for higher learning institutions that need credible evidence of student thinking without handing academic decisions to a black box.

01

Lecturer control

Educators shape the assessment, approve the source material and retain final academic judgement.

02

Less marking friction

Structured reasoning journeys and focused review cues help lecturers find the evidence that matters without surrendering the final mark.

03

Cohort insight and reporting

Patterns across evidence use, challenge responses and revised judgement support teaching decisions, moderation and reporting.

04

Reviewable evidence

A traceable record of how each student reached a conclusion supports responsible adoption and quality assurance.

The answer still matters.
The judgement behind it matters more.

Akanya helps institutions preserve the credibility of their qualifications in an environment where answers are easy to produce and judgement is harder to prove.

Think beyond the answer.