AI Learning Evaluator Pronunciation · Speaking · Diagnosis
Scores learner responses (voice or text) across pronunciation, fluency, content, and logic. An AI assessment engine designed to be embedded as the evaluation module of any education product.
Why AI-driven assessment?
Modern education measures not just answers, but how learners speak and reason. AI makes that scalable.
Pronunciation & speaking
Native-phoneme models score pronunciation, fluency, intonation and pace from 0 to 100, with phoneme-level corrective feedback.
LLM content grading
LLM grades the substance, logic and evidence of responses against a rubric — from single answers to full oral essays.
Learning diagnostics
Strengths, weakness patterns and growth curves, exported as reports for parents and teachers.
Where it plugs in
Language schools
Augment or replace native-teacher hours by auto-scoring recorded speaking sessions.
Edtech publishing
Connect print textbook QR → voice prompt → AI scoring → digital report for a hybrid learning loop.
LMS / e-learning
Add speaking and essay grading to existing LMS assignments via a single API call.
Test prep
Practice scoring for OPIc, TOEFL Speaking, HSK oral and other high-stakes speaking tests.
Early education
Reading fluency, dictation, times-tables — auto-grade foundational skills.
Corporate training
Presentation drills, English pitches, mock interviews — B2B training assessment.
Assessment pipeline
A single learner response triggers three parallel engines that produce a unified report.
Collect
Learner responds via voice or text. Web, mobile, and native-app SDKs provided.
STT + pronunciation
Speech → text + pronunciation & fluency scoring via GOP models.
LLM grading
Rubric-based grading of content, logic, and grammar with cited feedback.
Report
Scores, feedback, error analysis and growth curves returned as JSON or PDF.
Scoring dimensions
Learners are diagnosed across five dimensions. Weights can be tuned per domain, age, and difficulty.
Pronunciation accuracy
0 ~ 100Deviation from native phonemes, with corrective feedback on misarticulated sounds.
Fluency
0 ~ 100Speaking pace, pause frequency, hesitation-word detection.
Intonation & stress
0 ~ 100Sentence-final rise/fall and stress placement (language-specific rules).
Content accuracy
0 ~ 100Factual and semantic correctness against rubrics or model answers.
Logic & structure
0 ~ 100Argument flow and evidence presentation in essays and presentations.
How to plug in
REST API
POST the response (wav/mp3/text) → receive score + feedback JSON within seconds.
WebSocket streaming
Live feedback during real-time conversation or oral exams.
SDKs (JS / Swift / Kotlin)
Record, upload and render results in your web / iOS / Android app in four lines of code.
Webhook · LTI
LTI-compliant for Moodle / Canvas, results flow straight into the gradebook.
Tech stack
Built on top of our existing Voice Agent + Speech · Pronunciation API + LLM grading engine.
Evaluating AI Learning Evaluator for your product?
We support PoC for language schools, publishers, LMS vendors and test-prep services.