School written answers, constructed responses and rubric-based writing.
The more legitimate learner and educator context available, the more useful the next action becomes.
WRITTEN-ANSWER PRECISION
Find deduction risks before the test does.
HAOLLA maps an answer to required elements and flags likely weaknesses in logic, scope, wording and completeness. It does not pretend to be the official scorer.
HAOLLA METHODScoring elements → risk → revision
AI supports repeatable analysis while important judgment and learning ownership remain human.
Actual deduction depends on the real teacher/examiner and official rubric.
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.
출발 맥락을 명확히 하여 불필요하고 방향 없는 학습을 줄입니다.
목표를 관찰 가능한 행동으로 전환하여 유용한 학습 신호를 만듭니다.
학습량을 늘리기 전에 가장 영향력이 큰 변화부터 분리해 피드백합니다.
수정된 수행 결과를 다음 학습 설계와 판단을 위한 근거로 연결합니다.
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
Can I add my school rubric?
Yes. The intended workflow is strongest when the actual rubric, teacher criteria or required answer elements are available.
Does it predict the exact deduction?
It can flag risk, but it should not be presented as an exact official deduction unless validated against that exact scoring process.
Can teachers use it for a class?
Yes. The institution workflow is designed to turn repeated analysis into a teacher-review queue rather than a black-box grade.