Assignment Context
Goals, rubric, exam, school, subject and workload enter before the AI evaluates a response.
Learning intelligence architecture
学習の全工程を一つのインテリジェンス層へ。
課題、フィードバック、学習シグナル、教師の判断を一つの流れに接続します。
Assignment Context01
AI Feedback02
Learning Graph03
Coach Exception Queue04
Next-Best Task05
ARCHITECTURE
Five layers. One compounding learning system.
Every new submission can improve the learner model, the educator decision and the next assignment—without turning the student into a passive recipient.
Feedback Engine
Reasoning, task fit, expression, scoring risk and self-correction are separated instead of collapsed into one generic comment.
Learning Graph
Recurring errors and strengths become longitudinal learning signals—not disposable reports.
Human Exception Layer
Educators see ambiguity, repeated failure, important moments and emotional context—not every machine-readable detail.
Next-Best Task
The system uses prior learning evidence to make the next task smaller, sharper and more useful.
Human agency stays intact.
AI should increase a learner’s ability to think, explain and self-correct—not create dependence on answers.
NEXT STEP
Start with one real learner or one real workflow.
HAOLLA is designed to earn trust through measured use—not through exaggerated claims.