Professional Materials
Texts + tasks from publisher-grade learning materials.
Selecting Professional MaterialsCEFR.AI calibrates language difficulty by combining text complexity with task demand.
Texts + tasks from publisher-grade learning materials.
Selecting Professional MaterialsReal learner outcomes from CEFR.AI proprietary assessment.
Take the TestGSE-aligned evidence on vocabulary, grammar, and skills.
Power of Language Frameworks
Scoring logic, assumptions, and calibration evidence are open for review so researchers can inspect, reproduce, and improve the method over time.
Analyse and Level Test are the first official CEFR.AI applications. They provide practical tools grounded in the same calibration framework and research methodology.
An open CEFR.AI API and third-party app directory are in development so external teams can build language products powered by CEFR.AI scoring and calibration.
CEFR (A1-C2) maps to GSE (10-90) so broad levels can be calibrated with finer precision.
2024-12-26
Can native-speaker readability metrics really predict CEFR levels? Many online ESL/EFL text analysis tools have defaulted to using the Flesch-Kincaid readability index, simply because no specialized algorithms exist for language learners. Using 59 graded texts, we systematically test whether this widely-adopted solution actually works. While our investigation does reveal a...
Read post2023-07-24
Effective language teaching requires matching learners with texts at the right level - challenging enough to promote growth, yet accessible enough to avoid frustration. When it comes to understanding how difficult a text is for language learners, two frameworks stand out: the Common European Framework of Reference for Languages (CEFR)...
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