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Online English proficiency test
Duolingo English Test Acronym DET Type Internet-based standardized test Developer / administrator Duolingo Knowledge / skills tested English proficiency Purpose To assess the English language proficiency of non-native English speakers Year started 2016 Duration 1 hour Score / grade range 10–160 Score / grade validity 2 years Countries / regions International Languages English Fee $59 Scores / grades used by Harvard Business School, Harvard Medical School, Stanford (Undergraduate Admissions), Massachusetts Institute of Technology (MIT) (Undergraduate Admissions), and over 5,000 other institutions Website englishtest
The Duolingo English Test (DET ) is a standardized test of the English language designed to be internet-based rather than paper-based. DET is an adaptive test that uses an algorithm to adapt the difficulty of the test to the test-taker.[1] Duolingo and grew in popularity and acceptance at universities during the COVID-19 pandemic .[2] Harvard , Stanford , MIT , and Yale .[3] Ireland accepts the test as part of its student visa program.[1] London School of Economics , Imperial College London , Kingston University , the University of Southampton , and Middlesex University , also accept the Duolingo test.[4]
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. The test costs less than TOEFL or IELTS .
Comparison to other scoring systems [ edit ]
TOEFL iBT Score (0–100)
IELTS Academic Band (0–9)
Duolingo English Test (10–160)
CEFR
120
8.5–9
160
C2
119
8
155
117–118
150
C1
113–116
7.5
145
109–112
140
104–108
7
135
98–103
130
93–97
6.5
125
B2
87–92
120
82–86
6
115
76–81
110
70–75
105
65–69
5.5
100
59–64
95
B1
53–58
5
90
47–52
85
41–46
80
35–40
4.5
75
30–34
70
24–29
65
0–23
0–4
10–60
A2 – A1
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[5]
Note: the above scores are provided by Duolingo, the company that creates the DET test.[5] See also [ edit ] External links [ edit ] References [ edit ] [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14]
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^ Isbell, Daniel R.; Crowther, Dustin; Nishizawa, Hitoshi (2023-04-24). "Speaking performances, stakeholder perceptions, and test scores: Extrapolating from the Duolingo English test to the university" . Language Testing . 41 (2): 233–262. doi :10.1177/02655322231165984 ISSN 0265-5322 . S2CID 258325954 . ^ Isaacs, Talia; Hu, Ruolin; Trenkic, Danijela; Varga, Julia (2023-04-03). "Examining the predictive validity of the Duolingo English Test: Evidence from a major UK university" . Language Testing . 40 (3): 748–770. doi :10.1177/02655322231158550 ISSN 0265-5322 . S2CID 257975807 . ^ Liao, Manqian; Attali, Yigal; von Davier, Alina A.; Lockwood, J. R. (2022). Wiberg, Marie; Molenaar, Dylan; González, Jorge; Kim, Jee-Seon; Hwang, Heungsun (eds.). "Quality Assurance in Digital-First Assessments" . Quantitative Psychology . Springer Proceedings in Mathematics & Statistics. 393 . Cham: Springer International Publishing: 265–276. doi :10.1007/978-3-031-04572-1_20 . ISBN 978-3-031-04572-1 ^ Belzak, William C. M. (2023-04-07). "The regDIF R Package: Evaluating Complex Sources of Measurement Bias Using Regularized Differential Item Functioning" . Structural Equation Modeling . 30 (6): 974–984. doi :10.1080/10705511.2023.2170235 ISSN 1070-5511 . S2CID 258035179 . ^ Attali, Yigal; Runge, Andrew; LaFlair, Geoffrey T.; Yancey, Kevin; Goodwin, Sarah; Park, Yena; von Davier, Alina A. (2022). "The interactive reading task: Transformer-based automatic item generation" . Frontiers in Artificial Intelligence . 5 : 903077. doi :10.3389/frai.2022.903077 ISSN 2624-8212 . PMC 9354894 PMID 35937141 . ^ Kunnan, Antony John; Qin, Coral Yiwei; Zhao, Cecilia Guanfang (2022-08-08). "Developing a Scenario-Based English Language Assessment in an Asian University" . Language Assessment Quarterly . 19 (4): 368–393. doi :10.1080/15434303.2022.2073886 . ISSN 1543-4303 . S2CID 251540867 . ^ Langenfeld, Thomas; Burstein, Jill; von Davier, Alina A. (2022). "Digital-First Learning and Assessment Systems for the 21st Century" . Frontiers in Education . 7 . doi :10.3389/feduc.2022.857604 ISSN 2504-284X . ^ LaFlair, Geoffrey T.; Langenfeld, Thomas; Baig, Basim; Horie, André Kenji; Attali, Yigal; von Davier, Alina A. (August 2022). "Digital-first assessments: A security framework" . Journal of Computer Assisted Learning . 38 (4): 1077–1086. doi :10.1111/jcal.12665 ISSN 0266-4909 . S2CID 247883674 . ^ McCarthy, Arya D.; Yancey, Kevin P.; LaFlair, Geoff T.; Egbert, Jesse; Liao, Manqian; Settles, Burr (2021). "Jump-Starting Item Parameters for Adaptive Language Tests". Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing . Stroudsburg, PA, USA: Association for Computational Linguistics. pp. 883–899. doi :10.18653/v1/2021.emnlp-main.67 S2CID 243865410 . ^ D. W., Liya Astarilla (2019). "The Effect of Duolingo on English as Foreign Language University Students' Vocabulary Mastery" . Proceedings of the Second International Conference on Social, Economy, Education and Humanity . SCITEPRESS - Science and Technology Publications. pp. 209–215. doi :10.5220/0009104502090215 . ISBN 978-989-758-464-0 S2CID 247472669 . ^ News, The PIE (2020-03-16). "US: more universities accepting the Duolingo English Test amid coronavirus uncertainty" . thepienews.com . Retrieved 2023-05-28 . ^ Isbell, Daniel R.; Crowther, Dustin; Nishizawa, Hitoshi (2023-04-24). "Speaking performances, stakeholder perceptions, and test scores: Extrapolating from the Duolingo English test to the university" . Language Testing . 41 (2): 233–262. doi :10.1177/02655322231165984 ISSN 0265-5322 . S2CID 258325954 . ^ Liao, Manqian; Patton, Jeffrey; Yan, Ray; Jiao, Hong (2021-04-03). "Mining Process Data to Detect Aberrant Test Takers" . Measurement: Interdisciplinary Research and Perspectives . 19 (2): 93–105. doi :10.1080/15366367.2020.1827203 ISSN 1536-6367 . S2CID 235914894 . ^ Yancey, Kevin P.; Settles, Burr (2020-08-20). "A Sleeping, Recovering Bandit Algorithm for Optimizing Recurring Notifications" . Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining . New York, NY, USA: ACM. pp. 3008–3016. doi :10.1145/3394486.3403351 . ISBN 9781450379984 S2CID 219860828 . 
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