Your institution’s AI policy, made practical at the point of assessment design.
This new agreement and integration brings the globally-adopted AIAS framework into your Studiosity platform. Originally developed by Mike Perkins, Leon Furze, Jasper Roe and Jason MacVaugh, the AIAS gives educators and students a structured, five-level language for the role AI should play in any assessment task.
Because the biggest question for higher ed is: When AI can give the answers, are students doing the thinking?
Student access to generic AI is now universal. Universities in more than 15 countries deploy Studiosity to grow graduates’ critical thinking through secure assessment, to reduce academic workload, not add to it.
Until now, the gap between institutional AI policy and assessment assurance has largely been filled by additional staff workload: detective work at the point of marking, which is unsustainable.
“University leaders and educators have made it clear that detection is a dead end and surveillance undermines the trust essential to learning. Flexible, AI-ready assessment design coupled with student authorship self-validation provide the assurance of student cognitive development that underpins the degree,” said Mike Larsen, CEO at Studiosity.
What is the AI Assessment Scale?
Originally developed by Mike Perkins, Leon Furze, Jasper Roe and Jason MacVaugh, the AIAS provides a structured 5-level scale empowering academics to decide what role AI should play in an assessment task, and redesign the tasks so that the decisions holds up in practice.
Studiosity’s technology operationalises this framework by embedding these options directly into the educator’s usual LMS task setup workflow.
Each level sets the same clear expectation for educators and students, from no AI at all through to full exploration.
THE FIVE LEVELS OF THE AIAS
No AI
The assessment reflects the student’s independent knowledge, understanding and skills, without AI assistance at any stage.
AI Planning
AI may support early-stage activities such as brainstorming, outlining and initial research, while the final submission reflects the student’s own development of those ideas.
AI Collaboration
AI may support parts of the task, including drafting, feedback and refinement, provided the student engages critically with the output and shapes the final submission in their own way.
Full AI
AI may be used throughout the task, with the emphasis on how effectively the student directs, evaluates and applies AI to meet the assessment goals.
AI Exploration
The assessment actively invites students to use AI creatively to explore new approaches, generate insights, or develop innovative responses within the context of the task and/or discipline.
The five levels as educators see them in Studiosity's platform’s assessment design step. The original scale is the work of its authors, which you can explore in full at aiassessmentscale.com.
“The AI Assessment Scale was created to give educators and students a transparent, shared language around AI use. Partnering with Studiosity gives us another way to support educators, and help them realise the purpose of the AIAS.”
Dr Mike Perkins, co-developer of the AIAS
A holistic workflow for educators
Inside their usual LMS task setup, educators select the permitted level of AI use (where the framework based on AIAS appears) for each task. Then, they pair it with one of three authorship validation thresholds based on assignment risk and learning objectives.
Around that step sits the rest of the platform: institutional AI policy, formative scaffolding, student self-validation, submission and assessment.
AI policy
Assessment design
Scaffold
Self validate
Submit
Assess
The five AIAS levels inform the "assessment design" step, part of the platform’s end-to-end Support and Validate workflow.
“There are many ways educators have been operationalising the AIAS, and its inclusion in the Studiosity platform now takes the scale’s purpose and makes it an accessible, consistent tool for educators every day, while empowering students to self-validate their authorship prior to submission,” said Perkins.
Let your students self-validate.
Through their journey, students share writing samples, and get formative support that develops critical thinking. At submission, students validate through structured Q&A, and their authorship continuity is another layer. Validated work carries this green tick, which educators see at a glance, to assess with confidence.
Prof Judyth Sachs, Studiosity’s Chief Academic Officer, said: “Integrating the AIAS framework into our integrity layer gives academics much greater confidence that they are adhering to policy in their assessment design, in a way that preserves educator and student agency, first.”
