AI Education Research

Researching and validating AI use in education

We carry out AI education research for education offices, universities, companies and public agencies, either on our own or jointly with universities and research institutes. We collect and analyse data from schools and classrooms and turn it into results that support policy and project decisions.

Research Areas

Research areas

Lesson design and teaching models

AI-enabled lesson models aligned with curriculum and assessment, lesson case books and teacher training programs.

Learning indicators and outcome measurement

Indicator frameworks and instruments, pre/post result tables and school- or agency-level summaries.

Effectiveness analysis and pilots

Field data collection in schools and analysis of how policies and tools perform.

Digital education trends and policy

Reviews of domestic and international digital education trends with policy implications.

How We Work

How a research project runs

  1. ScopingAnalyse the brief and project goals and set research questions
  2. Research designIndicators, instruments and the plan for school participation
  3. Field pilotsCollect school data and support teaching and operational work
  4. Analysis and reportingResults, policy implications and the final report
  5. SharingCase books, guides and results-sharing events
Track Record

Selected projects

  • Data-driven school change research and consulting for Seoul Future Schools
    2025–2026 · Seoul Metropolitan Office of Education · Seoul EdTech Softlab · A pilot model and school-level data collection and review support across 10 schools
  • Lesson design capacity building and training program development for AI Gwangju Future Education
    2025 · Gwangju Metropolitan Office of Education · Fifteen backward-design lesson consultations and a lesson case book
  • Monitoring future-oriented teaching and learning trends
    2024–2025 · Korea Institute for Advancement of Science and Technology Human Resources · Two years of domestic and international trend reviews
  • Learning indicators for Gwangju AI-ON
    2024 · Gwangju Office of Education · Gwangju Education Research & Information Institute · Learning indicator consulting and two teacher workshops
  • Seoul EdTech Softlab operation
    2023–2024 · Seoul Metropolitan Office of Education · EdTech pilot programs designed and run with teachers and companies
  • Learning record system indicators for the Gangwon LRS shared university platform
    2022–2023 · Kangwon National University · A learning analytics indicator framework based on stakeholder needs
  • Domestic and international digital education trends
    2022 · Korea Education and Research Information Service (KERIS) · Trend analysis and a published report

We do not publish contract values or participating school names.

See all projects

Let's Transform Education Together.

You do not need a fully defined research brief. Tell us about your situation and goals, and we can shape a suitable scope together.

Discuss a research project