Handle more feedback while keeping professional judgment with the educator.
The more clearly the learner’s goal, assignment and feedback are understood, the more useful the next action can be.
TEACHER WORKFLOW
Let AI handle repetition. Keep judgment human.
AI drafts and flags exceptions. Educators decide. Learner revisions inform what comes next.
HAOLLA METHODDraft → exception → teacher judgment
AI supports repetition. Judgment and learning ownership stay human.
HUMAN × AI × FEEDBACK
AI organizes. Educators make the final call.
AI handles repetitive sorting and drafts. Educators decide context, priorities and final feedback.
- Structure strengths and improvement priorities quickly
- Edit wording and priority directly
- Review before anything is released to students
HAOLLA does not replace the teacher. AI supports repetitive analysis while educators keep pedagogical judgment.
HAOLLA avoids unverified claims of official status, guaranteed outcomes, affiliation or scoring authority.
HOW IT WORKS
Start small. Use the result to decide what comes next.
A single analysis matters only if revision and re-performance become useful learning signals.
Clarify the starting context to reduce unnecessary, directionless study.
Turn goals into observable actions that create useful learning signals.
Before increasing study volume, isolate and address the changes with the greatest impact.
Connect revised performance to evidence for the next learning design and decision.
HUMAN-CENTERED BY DESIGN
Learning ownership matters more than automation volume.
Learners revise and explain, educators retain important judgment, and AI helps with repeatable analysis and pattern detection.
✓Human override
✓Revision-first workflow
✓Context + longitudinal signals
FAQ
What to know before you start
Do I need to change my curriculum?
No. The pilot is designed around one assignment you already use.
Can a teacher override AI feedback?
Yes. Important decisions remain reviewable and editable by educators.
How should I evaluate the pilot?
Measure turnaround time, teacher minutes saved, revision quality, exception rate and whether the feedback is actually usable.
CLIENT-SPECIFIC COST STRUCTURE
A clear dual-payment model for institutions, educators and freelancers.
Students and families pay HAOLLA directly for learning management and pay the actual lesson provider separately for tuition. This preserves the teaching identity of the provider while keeping HAOLLA as an independent learning-management service.
HAOLLA Learning Management
₩99,000 / month per learner
- Learning diagnosis and weekly management
- Assignments, AI feedback and reporting
- Operated directly by HAOLLA
Teacher / Academy / School
Tuition managed directly by the provider
- Keep your own tuition policy and operational identity
- Receive tuition directly from the student or family
- Apply the structure that fits your program and level
How it works
One model, flexible by client type
- Freelancers receive their lesson tuition directly
- Academies, schools and institutions manage their own official tuition
- HAOLLA separately provides the learning-management and AI-feedback layer
Detailed contracts can be customized by client type, program scope, region and operational workflow.
THE HIDDEN LEARNING LAYER
Design the return, not just the repetition.
Implicit learning here means repeated exposure through recall, spacing and spoken review — not subliminal suggestion.
Pattern return
Key ideas reappear in new contexts.
Recall & explain
Close the text, speak, then rebuild from keywords.
Space & mix
Revisit later across reading, speaking and writing.
Fast spoken review
Read dense, high-value text aloud at pace to increase meaningful re-exposure.
A support strategy for more exposure, retrieval and transfer — not simply more memorization.Try it with real student work →