The Duolingo English Test (DET) is a standardized test of the English language designed to be internet-based rather than paper-based. The DET is an adaptive test that uses an algorithm to adapt the difficulty of the test to the test-taker. It was developed by Duolingo in 2014 as Test Center and grew in popularity and acceptance at universities during the COVID-19 pandemic. Ireland accepts the test as part of its student visa program. Some universities in the United Kingdom, such as the London School of Economics, Imperial College London, Kingston University, the University of Southampton, and Middlesex University, also accept the Duolingo English Test. Others, such as Oxford University, Cambridge University and Lancaster University do not currently accept the Duolingo English Test.

The Duolingo English Test is scored on a scale of 10–160, with scores above 120 considering the test taker to be proficient in English.

Comparison to other scoring systems

TOEFL iBT Total Score (0–120)IELTS Band (0–9)Duolingo English Test Score (10–160)CEFR
1208.5–9160C2
1198155
117–118150C1
113–1167.5145
109–112140
104–1087135
98–103130
93–976.5125B2
87–92120
82–866115
76–81110
70–75105
65–695.5100
59–6495B1
53–58590
47–5285
41–4680
35–404.575
30–3470
24–2965
17–23455–60
1–161–3.510–50A1 – A2
00N/AN/A
Sample: TOEFL iBT data included 328 official score reports and 1,095 self-reported scores. IELTS Academic data included 1,643 official score reports and 4,420 self-reported scores
  • Note: the above scores are provided by Duolingo, the company that creates the DET.

See also

Sources

  • Yancey, Kevin P.; Settles, Burr (August 20, 2020). . Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. New York: ACM. pp. 3008–3016. doi:. ISBN 978-1-4503-7998-4. from the original on May 3, 2024.
  • McCarthy, Arya D.; Yancey, Kevin P.; Settles, Burr; Liao, Manqian; Egbert, Jesse; LaFlair, Geoff T. (2021). "Jump-Starting Item Parameters for Adaptive Language Tests". Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Stroudsburg: Association for Computational Linguistics. pp. 883–899. doi:.
  • D. W., Liya Astarilla (2019). . Proceedings of the Second International Conference on Social, Economy, Education and Humanity. SCITEPRESS | Science and Technology Publications. pp. 209–215. doi:. ISBN 978-989-758-464-0. from the original on May 3, 2024.

External links