Can schools use AI to mark exams without sending data abroad? A UAE guide
With AI now a taught subject in UAE schools and national assessment bodies tendering for automated scoring, the question for heads is no longer whether to look at AI marking but how to run it without pupils' scripts leaving infrastructure the school controls. The answer is a criterion-by-criterion pipeline with a teacher as final judge, and it is affordable at school scale. Yes, and the question…
In September 2026, the UAE Cabinet approved a nationwide AI curriculum for public and private schools, alongside plans to train 22,000 educators in deploying AI for teaching, assessment, lesson planning, and curriculum analysis. Concurrently, Dubai's Knowledge and Human Development Authority (KHDA) and MIT RAISE launched a multi-year AI literacy program reaching over 80,000 private school students and 3,600 teachers.
Automated scoring is already being adopted at the federal level, with tenders for AI-based automated scoring of speaking and writing in the UAE Standardized Proficiency Assessment. For school leaders and IT professionals, the question has shifted from whether automated assessment works to how schools can implement AI marking without sending student data to external servers in unvetted jurisdictions.
The key to implementing AI marking lies in running the process entirely on in-house infrastructure, with a teacher serving as the final judge. Marking is the largest administrative burden for teachers, with educators spending approximately 9% of their work time on grading. Unlike conversational chatbots or open-ended lesson planners, automated exam marking has structural boundaries that make it an ideal target for AI deployment.
Bounded inputs and outputs, inherent auditability, high-frequency assessment cycles, and the need for human supervision are critical factors in adopting AI marking without exporting data abroad.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
