WorldWise Learning helps universities and education organisations improve teaching, develop staff capability and build practical AI systems, with clear deliverables and results measured against an agreed baseline.
A considered approach to AI in education
Bachelor's programmes now need digital, AI and foreign-language outcomes, and every running programme has to be reviewed by 30 June 2029. Start with a free five-minute self-check, then take the Readiness Toolkit into your next faculty meeting.
Each service stands on its own. Combine them only when there is a clear benefit.
Use AI to reduce preparation workload and create useful teaching materials—with the teacher reviewing and approving the result.
Structured English practice connected to your curriculum, with lecturers overseeing assessment.
Focused applications and automations that reduce repetitive work and make approved information easier to use.
Identify priorities, establish practical AI rules and agree a realistic improvement plan.
View all services, including curriculum design, pilots and ongoing support
Before proposing a workflow to a university, we use the same pattern in our own teaching operation, Jurassic English™. It is a working system, not a university deployment.
Teaching several cohorts scattered schedules, rubrics and student writing across folders, hiding a semester’s learning evidence.
A unified teaching command centre that reconciles daily lesson schedules, tracks curriculum files for changes, and places student assessments into a structured teacher-review queue.
Data foundations and human review gates come before AI: nothing fails silently, no AI output bypasses the instructor, and deans get audit-ready visibility without chasing lecturers for spreadsheets.
A narrated tour of under three minutes.
Walk through how WorldWise Learning sits alongside a university’s existing systems: structured practice for students, clear visibility for lecturers and reviewable evidence for academic boards.
Enter the Experience: open the WorldWise Learning interactive experience
A proposed 8–12 week pilot can start with one faculty-led cohort and a documented baseline. Read the pilot overview.
Listen to your team, observe classes and agree what a useful result looks like.
You get: a brief, a baseline and success criteria.Map the experience, build the scenario bank, agree responsibilities and safeguards.
You get: a pilot plan and a working environment.Introduce the solution with a small group and support your people through weekly review cycles.
You get: a working pilot and practice evidence.Review learning, staff workload and system quality against the baseline.
You get: findings and a scale / adapt / stop brief.Five ways to structure the work, and they can be sequenced
What you keep is written down. Every proposal lists the deliverables your institution keeps, such as documented workflows, scenario and template libraries, rubrics and training materials, and separates them from WorldWise’s reusable components and third-party software.
Where feasible: matched cohorts, common tasks, blinded moderation, documented baseline. Satisfaction is useful, but it is not a measure of learning.
Did students demonstrably improve?
Did practice volume actually rise?
Is this sustainable for faculty?
Is the system reliable enough to trust?
Rules are defined per task, not in one vague statement. This is the starting template; your academic board owns the final version.
Most AI projects begin at the upper layers and fail at the lower ones. This work starts at the base, with one problem designed alongside faculty, and builds upward only where evidence supports it.
Layers 01–05: demonstrated background Layer 06: proposed with the university
No. We start with your goals and explain options in everyday language. Technical choices follow your needs, staff readiness and existing systems.
Yes. Begin with a training programme, a single workflow or a focused practice pilot. Services combine when there is a clear benefit.
We agree a baseline and success criteria before the pilot: student performance, practice completion, faculty workload and the accuracy of system outputs.
Pricing depends on scope, people and technical requirements. A discovery conversation establishes the work so deliverables, timing and costs are agreed before anything begins. Circular 54 Readiness prices are published: the Toolkit is 2,500,000 ₫ per institution and the Readiness Audit starts from 60,000,000 ₫ (see Circular 54 Readiness).
Data requirements are agreed with your institution: collect only what is necessary, restrict access, set retention periods, and keep consequential decisions under human review.
Tell us what you are trying to achieve, where the current challenge is, and what kind of support you may need. WorldWise Learning will review your inquiry and respond within two business days.
Eight short questions · normally a reply within two business days · what we ask
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