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Duolingo English Test

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Duolingo English Test
NameDuolingo English Test
TypeEnglish language proficiency test
Established2016
OwnerDuolingo, Inc.
MediumInternet-delivered adaptive assessment
LanguagesEnglish

Duolingo English Test The Duolingo English Test is an online English-language proficiency exam created by Duolingo, Inc. used for admissions and certification by academic and professional organizations. It is delivered via a secure internet protocol and designed to measure reading, writing, speaking, and listening skills using adaptive algorithms and automated scoring. Test takers worldwide use the exam for university applications, visa-related evidence, and corporate screening, competing with assessments from organizations such as Educational Testing Service, Cambridge Assessment English, British Council, IELTS Partners, and Pearson PLC.

Overview

Developed by Duolingo, Inc., the assessment was introduced amid digital innovations involving entities such as Y Combinator, Andreessen Horowitz, Google, Apple Inc., and Microsoft which influenced online testing platforms. The test positions itself alongside established exams administered by ETS, University of Cambridge, British Council, and Pearson PLC while catering to applicants linked to institutions like Harvard University, Massachusetts Institute of Technology, Stanford University, University of Oxford, and University of Cambridge. Adoption patterns reflect trends seen in admissions offices at Columbia University, New York University, University of Toronto, McGill University, and University of British Columbia.

Test Format and Content

The exam uses adaptive testing principles related to research by scholars at Carnegie Mellon University, Massachusetts Institute of Technology, Stanford University, University of Pennsylvania, and University of Michigan. Sections include integrated tasks that require typing responses akin to writing samples used by programs at Yale University, Princeton University, University of Chicago, California Institute of Technology, and Northwestern University. Listening and speaking prompts resemble items evaluated by panels at Oxford University Press, Cambridge University Press, ETS Research, Pearson PLC Research, and British Council Research. The platform leverages machine learning techniques popularized at DeepMind, OpenAI, Facebook AI Research, Google Brain, and Microsoft Research to score spoken and written responses.

Scoring and Reporting

Scores are reported on a scale comparable to frameworks used by CEFR, institutions such as Common European Framework of Reference for Languages-adopting universities, and credential evaluators like World Education Services and NARIC. Universities including University of Melbourne, University of Sydney, University of Auckland, Monash University, and University of Queensland integrate these scores into admissions criteria. Employers such as Amazon (company), McKinsey & Company, Deloitte, Accenture, and Goldman Sachs may accept the test for screening. The scoring model references psychometric standards developed by researchers at Princeton University, Yale University, Columbia University Teachers College, Johns Hopkins University, and Northwestern University.

Administration and Accessibility

Administration uses live proctoring and software safeguards similar to systems employed by Zoom Video Communications, ProctorU, Examity, Honorlock, and Respondus, Inc.. Accessibility provisions echo guidance from institutions such as United Nations, World Bank, European Commission, UNESCO, and Organisation for Economic Co-operation and Development. International test availability aligns with policies in countries including United States, Canada, United Kingdom, Australia, and Germany and is used by applicants from regions served by consulates and missions like United States Department of State, UK Visas and Immigration, Australian Department of Home Affairs, Immigration, Refugees and Citizenship Canada, and German Federal Foreign Office.

Preparation and Test-Taking Strategies

Preparation resources draw on methods promoted by language centers at British Council, Council of Europe, International English Language Testing System Consortium, ETS TOEFL Program, and university language institutes at University of Cambridge ESOL, University of Oxford Language Centre, Columbia University School of Professional Studies, and University of California, Berkeley. Test-taking strategies emphasize time management and familiarity with computer-mediated tasks used in credentialing at Khan Academy, Coursera, edX, Udacity, and LinkedIn Learning. Coaching services offered by organizations like Kaplan, Inc., Princeton Review, Magoosh, Manhattan Prep, and Oxford University Press ELT provide structured practice for adaptive tests.

Recognition and Use by Institutions

Recognition spans higher-education institutions such as Imperial College London, King's College London, London School of Economics, University of Edinburgh, and University of Warwick; professional organizations like Association of Chartered Certified Accountants, Chartered Institute of Personnel and Development, Institute of Chartered Accountants in England and Wales, Medical Council of Canada, and General Medical Council may reference similar evidence. Governments and scholarship bodies including Fulbright Program, Chevening Scholarships, Commonwealth Scholarship Commission, Rhodes Trust, and Gates Cambridge Scholarship influence institutional acceptance. Collaboration and endorsement patterns mirror those between testing providers and registrars at UCAS, Common App, Coalition for College, and National Association for College Admission Counseling.

Security, Validity, and Research

Security measures include biometric verification and AI-driven anomaly detection akin to technologies at Clearview AI, NEC Corporation, Face++, Amazon Rekognition, and Microsoft Azure Cognitive Services. Validity studies reference academic research conducted at University of Cambridge Language Research, ETS Research, Pearson Research, British Council Research, and independent scholars at University of Toronto and University College London. Ongoing research collaborations involve institutions such as Stanford University Human-Centered AI, MIT Computer Science and Artificial Intelligence Laboratory, HarvardX, Yale Center for Language Study, and University of Pennsylvania Graduate School of Education to evaluate reliability, fairness, and bias mitigation.

Category:Language tests