Rethinking Assessment in the Age of Generative AI

How LX Studio Helps Educators Re-Engineer Learning for Creativity, Integrity, and Real-World Relevance 

The arrival of generative AI has shaken one of higher education’s most traditional structures: assessment. In Redefining Assessment Tasks to Promote Students’ Creativity and Integrity in the Age of Generative Artificial Intelligence (Peters & Angelov, 2025), the authors argue that we can no longer treat assessment as a mere measurement tool. Instead, it must become a catalyst for learning—one that values creativity, critical thinking, and academic integrity.

Their Academic Integrity and Creativity in the Age of AI (AICAI) model reframes assessment around several core questions:

1. What roles should human creativity and judgment play when AI tools can automate routine tasks?
2. How can assignments engage students so deeply in authentic, real-world challenges that plagiarism becomes irrelevant?
3. What design decisions—about objectives, instructions, criteria, and cognitive offloading—help students learn with AI rather than against it?

From Control to Creativity in Assessment 

In HEPI's 2025 survey of undergraduates, 88% of students reported using generative AI tools for assessments—showing just how mainstream this has become. Traditional essays and exams, the article notes, were already under pressure from disengaged learners and large-class logistics. Generative AI didn’t create those weaknesses—it exposed them. As the authors put it, the solution is not to ban technology or police students, but to redesign the system itself.

Figure 1. Academic Integrity and Creativity in the Age of Generative Artificial Intelligence (AICAI) model. Reproduced from Peters & Angelov (2025), International Journal for Educational Integrity, 21:25, https://doi.org/10.1007/s40979-025-00201-x © Crown 2025. Licensed under CC BY 4.0

Authentic assessment, scaffolded learning, and transparent criteria give students ownership of their work. Cognitive offloading—intentionally defining what tasks AI can assist with—teaches responsible tool use. And clear, purposeful instructions invite students to build, remix, and reflect rather than replicate.

In short, assessment design must evolve from “prove you know” to “show what you can do.”

How LX Studio Helps You Redesign for the AI Era

At LX Studio, we partner with universities, associations, and organizations to translate insights like the AICAI model into practice. Our learning designers and strategists help faculty and program leaders re-engineer courses and programs to align with the new realities of learning in an AI-enabled world.

Here’s how we do it:

1. Learning Environment Master Planning 

We use our proprietary Learning Environment Modeling™ system to visualize how assessments, learning activities, and technology connect to desired outcomes. This creates clarity about where AI belongs—and where human creativity must remain central.

2. Authentic Assessment Redesign

We help educators move from traditional, text-based tasks to performance-based ones: simulations, portfolios, interactive oral exams, client-driven projects, and reflective components that reveal process as much as product.

3. Cognitive Offloading Strategy

Using frameworks like Phillip Dawson’s (2020) reverse-scaffolding and the AICAI model, we guide teams in determining how and when AI tools should support learners’ thinking rather than replace it.

4. Faculty Capacity Building

Many instructors were never trained in assessment design. LX Studio provides applied workshops and consultation that equip faculty to design with AI literacy, integrity, and student engagement in mind.

5. Course and Program Prototyping 

We collaborate to prototype redesigned modules, create AI-use rubrics, and build scalable learning environments that are flexible, evidence-based, and aligned with accreditation and workforce needs.

The Future of Assessment is System Design 

The challenge Peters and Angelov describe is not just pedagogical—it’s structural. Institutions that succeed will be those that treat assessment as part of an integrated learning ecosystem, not an isolated event. Done well, authentic assessment becomes the bridge between academic integrity and real-world performance in an AI-enabled environment. 

LX Studio specializes in designing those ecosystems. By connecting strategy, design, and research, we help organizations create learning environments that honor both academic integrity and the creative potential of AI.

Actionable Takeaway

Try this next week (start small): Pick one assignment you already grade (e.g., essay, exam, case study, project) and make these three tweaks:

1. Add a process artifact students submit (outline, decision log, draft + reflection) so the learning is visible—not just the final answer.

2. Add a 3-bullet AI-use note (what’s allowed, what’s not allowed, what must be cited/disclosed).

3. Add one authenticity lever (local data, lived experience, client scenario, or a brief oral check-in) to make copying harder and thinking more valuable.

Interested in transforming your assessments for the age of generative AI?
Contact the LX Studio team to explore how our research-driven approach can help you re-engineer courses and learning environments that prepare learners for real-world performance—and integrity—in the era of intelligent technology.

For more frameworks and examples you can use right away, subscribe to the LX Studio newsletter.