HECAligned with HEC's Generative AI Framework (2026)

Assess the thinking, not just the answer.

Students solve real problems and defend their decisions. AI asks the hard questions. Faculty make the final judgment.

Try the student assessment See the faculty view

Real-world scenarios AI as facilitator, not answer-giver Faculty in control

Marketing decision Assessment in progress

A new skincare brand in Multan has Rs. 5,000 a month for social media. How should it be spent?

StudentInstagram ads, because our customers are young.

AI facilitatorWhat evidence shows they are on Instagram? What would make you change your mind?

Challenge raised. Assumption tested.

StudentI would test Rs. 1,000 first, compare results, then decide how to spend the rest.

Reasoning revised. Response to challenge: strong

Example scenario

Why it matters

When AI writes the answer, the student's thinking disappears from view.

Distributed epistemic displacement

Students hand their reasoning to AI tools, so a polished submission no longer shows what they actually understand.

Human-AI Assessment Studio reverses the role. The student does the thinking; the AI only asks questions.

How it works

Five stages, one connected line of thought.

1
Understand
Read a real scenario and take a first position.
2
Reason
Explain the evidence and assumptions.
3
Decide
Choose an action and name its trade-offs.
4
Defend
Answer the AI facilitator's challenges.
5
Reflect
State what could change the decision.

What we assess

A clear record of how each student thinks.

Every response is mapped to five dimensions of thinking. AI suggests a rating; faculty review the evidence and decide.

Assessment recordExample

Reasoning

Are ideas logical and backed by evidence?

Strategic thinking

Are context, constraints and alternatives considered?

Decision quality

Is the choice justified, with trade-offs stated?

Response to challenge

Can the student defend or revise a position?

Epistemic awareness

Does the student recognise uncertainty and missing evidence?

Final grade set by faculty. AI ratings are suggestions only.

AI asks. Students think. Faculty decide.

The AI

Facilitates

Asks follow-up questions and challenges assumptions. It never gives the answer.

Students

Think and defend

Work through a real problem, explain their choices and reflect on what they learned.

Try the student experience

Faculty

Hold authority

Review each exchange, add comments and set the final result.

Open the faculty dashboard

Policy alignment

Built for HEC's Framework on Generative AI Tools in Higher Education (2026)

The studio puts the framework's assessment principles into practice. It is aligned with the framework; it is not an HEC product.

AI as a Socratic opponent

The AI questions and challenges students. It never gives them the answer.

AI-resilient assessment

Real cases, decisions defended in a dialogue, and reflection on how the plan could fail.

Teachers decide

The AI suggests ratings and marks. The teacher reviews and sets every final mark.

Transparency & consent

Students see how the AI is used and agree before they start. Names and IDs are never sent to the AI.

Outcome-based (OBE)

Each assessment states its CLOs, links marks to them and reports attainment.

Start with one course.

Run a focused pilot. Measure student experience, faculty workload and assessment quality before wider adoption.

Try the demo Faculty dashboard

Knowledge is that which liberates.