MOE to Launch AI Essay Marking System for Chinese Language in Secondary Schools

Singapore's Ministry of Education is quietly building one of the most practical deployments of AI in the classroom yet — an automated essay marking system that handles the tedious grunt work of grading Chinese language compositions, freeing teachers to focus on what only humans can do: guide students through nuance, tone, and cultural context.

Announced at the Mother Tongue Languages Symposium 2026 on August 1, the AI essay marking system will roll out in secondary schools from September. Built on the Singapore Student Learning Space (SLS) platform, it will handle routine marking tasks — grammar, spelling, and sentence structure — across both handwritten and typed essays. Education Minister Desmond Lee said the system would "free up time for our mother tongue teachers to focus on supporting students who need more guidance, while ensuring that our teachers remain firmly in the driver's seat."

The system is designed with teacher oversight baked in from the start: educators review and curate all AI-generated feedback before it reaches students, and can customise marking settings for different proficiency levels. This isn't a black-box grader — it's a teacher-augmentation tool that automates the mechanical parts of essay marking while preserving the human judgment that makes feedback meaningful. The approach mirrors MOE's broader posture on classroom AI: deploy where it reduces administrative load, hold the line where it risks replacing pedagogical judgment.

The September launch puts Singapore ahead of most education systems globally in operationalising AI for language assessment at scale. While universities worldwide have experimented with automated essay scoring, deploying it across a national secondary school system — and doing so with a character-based language like Chinese, which poses unique challenges for handwriting recognition and grammar checking — represents a genuine technical and policy milestone.

Why it matters for Singapore: This deployment answers a practical question that has hung over Singapore's AI-in-education conversation: what does it actually look like when AI meets a classroom? The answer, in MOE's framing, is not a robot teacher — it's a teacher with fewer hours lost to red-pen marking and more capacity for the high-touch guidance that research says moves the needle on language learning. If the Chinese language pilot works, expect the model to expand to English, Malay, and Tamil — making this the first domino in a broader AI-augmented assessment strategy for Singapore's entire school system.