LAcademic
listening
Approximately 30 minutes
4 parts · 40 questions
One mark per correct answer; raw score is converted to a band score by IELTS.
KN Origin Lab/Language engineering/English
KN English Systems
Academic English · IELTSA controlled learning architecture that converts language foundations into communication performance, then validates that performance through IELTS-style evidence and diagnosis.
Active moduleOperational
IELTS system
Test structure, scoring criteria, question types and study strategy.
/english/ielts/KN Programme Architecture
Signal-to-performance pipeline
L01
Language control
Form and meaning
L02
Communication loop
Listen · Speak · Read · Write
L03
IELTS validation
Measure and diagnose
INPUT → CONTROL → PERFORMANCE → FEEDBACKLOOP CLOSED
KN IELTS System
Academic test structure, scoring and preparation architecture
This module separates official test facts from KN Origin Lab study methods. Stable format data, time-sensitive delivery updates and original learning workflows are maintained as different content layers.
RAcademic
reading
60 minutes
3 sections · 40 questions
Evidence, detail, argument, inference, reference and vocabulary in context.
WAcademic
writing
60 minutes
2 tasks · Task 2 carries more weight
Task achievement/response, coherence and cohesion, lexical resource, grammar range and accuracy.
SAcademic
speaking
11–14 minutes
3 parts · live examiner interaction
Fluency and coherence, lexical resource, grammar range and accuracy, pronunciation.
Voluntary product pilot
Help test whether diagnosis, repair and re-test are genuinely useful
Joining is optional. You can decline or withdraw at any time and still use the public IELTS learning content without an account.
Purpose
Check whether learners understand the report, open the suggested repair, complete it and return for a re-test.
Minimal measurements only
With your consent, this version can keep a bounded local queue containing only workflow milestones, product area, form/report version, device class and timestamps.
Private learning content is excluded
No answers, item text, answer keys, Writing drafts, Speaking transcripts, audio, private notes, account identity or exact content payloads.
Retention: Your choice stays on this device until you change it or clear browser data. Future pilot measurements under this policy must be deleted or irreversibly aggregated within 180 days after the pilot closes.
Current state: After consent, a maximum of 200 coarse milestones can be stored locally for 30 days. No analytics vendor or background upload is enabled.
Choose freely
Choose freely
Neither option changes access to the public learning programme.
Choice storage is checked after this page loads
View this device's pilot workflow summary
Manage pilot data stored on this device
Study safely on a phone and recover local work
Mobile usability contract · Phase 17.5B.5
What the current mobile web experience supports
Suitable now
Short diagnostics, report review, repair tasks and progress checks are designed for a phone. Long Writing sessions and full timed mocks remain easier and safer on a larger screen.
Same-browser recovery
Supported drafts and attempts can recover after a refresh in the same browser on this device. Cross-device synchronisation is not enabled yet.
Current offline boundary
Offline cold start is not guaranteed yet. After fully closing the browser, reopen the site with a connection until the installable PWA phase is complete.
Accessibility contract
The maintained contract includes 320 px reflow, 44 px touch targets, reduced motion, labelled writing controls and screen-reader landmarks.
Connection status will be checked after the page becomes interactive.
Preparation loop
Know the construct
Learn what each task measures instead of memorising isolated tricks.
Train by question type
Build repeatable processes for evidence, planning, production and review.
Perform under time
Move from guided practice to timed sections and full computer-first mocks.
Diagnose and repair
Convert wrong answers and weak responses into scheduled learning actions.
Source governance