AI Centre for Educational Technologies
Pioneering AI-Driven Innovation in Education
Transforming teaching and learning through advanced AI-enabled educational technologies, in collaboration with educators across Singapore’s education ecosystem.
Introduction
The Artificial Intelligence Centre for Educational Technologies (AICET) was established in 2020 to drive innovation in teaching and learning through advanced AI-enabled educational technologies.
Supported by AI Singapore (AISG), AICET collaborates with educators, policymakers, and researchers to design, develop, and deploy impactful EdTech solutions across Singapore’s education ecosystem.
Mission
AICET’s mission is to pioneer AI-driven pedagogical innovation by:
- Designing technology grounded in educational research and effective pedagogy
- Rapidly adapting to emerging AI capabilities, especially Large Language Models (LLMs)
- Working closely with educators to ensure real-world relevance and classroom impact
- Developing platforms that can scale sustainably across schools and Institutes of Higher Learning (IHLs)
Vision: The “Xerox PARC” for Education
AICET’s long-term vision is to be a leading centre for AI-driven educational innovation globally by combining technical expertise with deep pedagogical insight to create transformative, scalable impact.
Approach
AICET adopts a collaborative and pedagogy-focused strategy:
We begin by understanding teaching practices, learning needs, and pedagogical opportunities before building technology.
Software engineers, AI/ML engineers, researchers, and educators co-develop solutions.
We define problems jointly with practitioners, test prototypes in authentic classroom settings, and refine solutions iteratively.
Our projects typically developed over 3-4 years:
Years 1–2 build and test prototypes with educators;
Years 3–4 strengthen, stabilise, and prepare for self-sustainability.
For long term sustainability, potential outcomes include licensing for commercialisation or open sourcing for broader adoption.
Flagship Projects Supported by AI Singapore
AICET currently oversees a portfolio of several major platforms. These systems are currently undergoing trials across local IHLs and MOE schools.
Coursemology
A gamified learning management system developed by A/P Ben Leong since 2013 to support the teaching of programming. AICET is currently maintaining the platform that supports 8,000-10,000 learners annually. AICET has developed six major platforms since our inception and Coursemology provides AICET with access to real teachers and learners for piloting and prototyping of new platforms.
Since inception, AICET has developed six new strategic platforms designed to explore and drive innovations in pedagogy use cases across the education landscape by leveraging on technology.
Softmark
Softmark digitalises exam scripts, enabling concurrent online marking for teams of teachers anytime, anywhere. In 2025 alone, Softmark has handled more than 70,000 scripts. Recently, Softmark has incorporated computer vision techniques to further improve grading workflows through intelligent grouping similar answers for more efficient grading.
Codaveri
A personalised AI tutor for programming that has been deployed on the coursemology.org platform. It guides the students on their coding assignments and lightens the load for instructors by providing automated feedback. Codaveri analyses quality of students’ written code, as well as evaluates accuracy against test cases. Specially equipped with contextual knowledge, it has generated over 30,000 personalised feedback to students on demand since it was launched in 2024, providing students with timely and thoughtful feedback to support their learning journey.
Cikgo
Designed for today’s educators and tomorrow’s students, Cikgo bridges the gap between one-on-one tutoring and large classroom dynamics, by ensuring every student gets the attention they deserve. Cikgo has been integrated with coursemology.org and was piloted in NUS School of Computing for summer revision classes, and is currently being piloted at local MOE schools for lesson content delivery in various subjects. The platform is work-in-progress and is still actively being refined with educators.
Koditsu
An AI-enabled technical assessment platform that transforms how students prepare for technical (coding) interviews. In the summer of 2025, Koditsu supported the Technical Interview Preparation (Summer) programme at the NUS School of Computing by providing support for assessment practice and interview preparation. The team is currently developing a fully-automated live technical interview system to scale training and assessment for technical roles.
SSID
This student submission system was originally built by Web, Information Retrieval / Natural Language Processing Group (WING) headed by A/P Kan Min-Yen in 2012. SSID helps to maintain academic integrity by detecting and reporting unusual similarities in student submissions. In 2024, AICET took over the maintenance and refactored SSID for better usability, security and scalability. SSID was integrated with coursemology.org to allow instructors to automatically check code-based submissions submitted by the students. The long term goal is to enhance SSID to detect AI-based plagiarism.
ScholAIstic
A multi-agentic AI learning platform that brings the power of large language models (LLMs) directly into the hands of educators. ScholAIstic allows educators to design and deliver specialised chatbots to scale their pedagogical objectives and enhance students’ learning through simulation of human interactions in a psychologically safe and controlled environment and provide immediate feedback to learners. Several projects successfully deployed across Social Work, Law, Nursing, and other disciplines within NUS since Jun 2024, with many of the projects utilising roleplay chatbots for professional skills training.
Research and Benchmarking
AICET conducts applied research to help validate our platforms and to develop new pedagogical insights that we hope to incorporate into existing and future platforms:
- Benchmarking new LLM models to decide on technology upgrades
- Understanding the impact of LLMs on learning and cognition
- Designing AI-enabled pedagogies and validating learning gains
- Conducting classroom studies to quantify outcomes
Impact and Adoption
AICET delivers real-world teaching and learning improvements:
- Codaveri and Softmark have reached maturity and have been increasingly adopted by local MOE schools
- ScholAIstic has gained strong traction in early 2025 in local educational and training institutes, and overseas IHLs. It is already being used in active teaching in a number of courses at NUS.
Get in Touch
Want to know more about AICET and our work? Get in touch with us!
Email
aicet@nus.edu.sg
Address
National University of Singapore
COM4, 3A Research Link
#05-01, Singapore 119392
