Faculty: redesigning teaching and assessment
Faculty work with learning design and AI specialists to redesign course activities and assessment, and write AI use rules for their syllabi.
AI Transformation · Universities
University AI education projects, from planning to outcome reports.
We co-design and run AI education programs funded by government grants or by the university itself. We build programs for faculty, students and staff, and report outcomes with pre/post measurement.
Programs
Programs by audience
Examples only; we adjust them to each university’s goals.
Students and pre-service teachers: project tracks
Level-based tracks where participants build AI solutions to education or campus problems, finishing with mentoring and a pitch.
Staff: administrative AX
Improve department work with AI agents and workflows, and draft a department AI use guideline.
How We Work
Working together at each stage
- Project planningReview grant requirements, shape the program and support the proposal
- Design by audienceTracks that fit faculty, student and staff levels and the academic calendar
- DeliveryMainly in-person workshops and projects, checked after each session
- MeasurementPre/post AI competency assessment and session-by-session feedback
- ReportingProject report and improvements for the next year
ScopeProgram length and size follow the project budget and academic calendar.
Deliverables
Project deliverables
Program design
Tracks, session plans and schedule by audience
Redesigned teaching and assessment
Lesson packages, assignments and syllabus AI rules
Competency results
Pre/post AI competency and session feedback analysis
Project report
Outcome analysis and next-year improvements
Track Record
Work delivered with universities
2025 · Gyeongin National University of Education
Hands-on AI competency training
Three tracks for staff, faculty and pre-service teachers
2025 · Gyeongin National University of Education
Online extracurricular content on AI digital textbooks
Extracurricular content for pre-service teachers
2022–2023 · Kangwon National University
Learning record system indicators for the Gangwon LRS shared university platform
A learning analytics indicator framework based on stakeholder needs
We do not publish contract values.
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.
Project planning and delivery