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Last Updated: 05 Dec 2025

Artificial intelligence in education

Learn about the use of artificial intelligence tools to support your child’s learning.

Overview

As part of Singapore's National Artificial Intelligence (AI) Strategy, as well as to support the implementation of the EdTech Masterplan 2030, MOE is harnassing AI to help our students learn better and deeper, and teachers to teach and learn better.

MOE's position on AI in education

MOE's approach to AI in education emphasises responsible and age- and developmental- appropriate use of AI in teaching and learning as students learn about AI, learn to use AI, learn with AI and learn beyond AI.

MOE's position on AI in education

MOE AI-in Education (AIEd) Ethics Framework

The MOE AI-in-Education (AIEd) Ethics Framework, builds on the Model AI Governance Framework by the Singapore Infocomm Media Development Authority to address education-specific use and risks, and incorporates key beliefs from the Ethos of the Teaching Profession.

The MOE AIEd Ethics Framework seeks to:
  1. Guide the safe and responsible development and governance of AI for teaching and learning.
  2. Ensure our AIEd practices are in alignment with our professional beliefs as expressed in our Ethos of the Teaching Profession.
The MOE AIEd Ethics Framework outlines four principles of Agency, Inclusivity, Fairness and Safety. MOE AI-in Education (AIEd) Ethics Framework

MOE AI use cases to support the “Transforming Education through Technology” Masterplan 2030

MOE delivers pedagogically sound AI tools with in-build safety guardrails through the Singapore Student Learning Space (SLS), our national online platform for teaching and learning.

These AI tools support greater customisation and personalisation of student learning and seek to further augment teachers' professional practice:

1. Teaching Assistants

(a) Authoring Copilot (ACP)
ACP supports teachers in designing their lessons on SLS. With ACP, teachers can easily and quickly generate lesson materials and resources for their students.
(b) Data Assistant (DAT)
DAT allows teachers to make data-informed decisions to better meet students’ needs. It can instantaneously analyse students' responses so that teachers can provide timely interventions to better address students’ learning needs.

2. Feedback Assistants

(a) Feedback Assistant - Mathematics (FA-Math)
FA-Math offers step-by-step hints and feedback to students’ workings and suggested marks.
(b) Short Answer Feedback Assistant (SAFA)
SAFA automatically marks students’ open-ended responses and provides customised feedback to every student. Teachers can further adjust the feedback to help every student address their learning gaps.
(c) Annotated Feedback Assistant (AFA)
AFA automatically provides students with line-by-line feedback including suggestions, based on suggested answers or rubrics provided by the teachers. The feedback helps students to understand how they might improve their responses.
(d) Speech Evaluation Tool (SET)
SET offers instant, automated feedback on pronunciation, reading fluency, and speech clarity to help students improve their speaking abilities for English and Mother Tongue Languages.

3. Learning Assistant (LEA)

LEA helps students learn by asking guiding questions. It takes on different roles to encourage students to think in different ways, making learning more engaging and interactive.

4. Adaptive Learning System (ALS)

ALS creates a personalised learning path for each student by giving them custom recommendations and feedback based on their readiness. It currently supports Primary 5 to Secondary 2 Mathematics and Upper Secondary Geography. More subjects and levels will be added over time.

For more information about how the AIEd Ethics Framework is practised and applied in SLS AIEd features, visit our Responsible AI page on SLS Infosite.