Computer-adaptive Language Testing
Computer-Adaptive Language Testing is a form of language assessment that dynamically selects test items in real time based on a test-taker's evolving proficiency level, using algorithms to optimize measurement precision and efficiency.
35
Publications
1.7K
Citations
69
Authors
37
Institutions
Publications per year
2017–2026
6
Variants
Computerized Adaptive Language Testing
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1–5 of 35
69
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37
University of Iowa
Iowa City, United States
2 h-index
4 publications
178 citations

University of Hawaiʻi at Mānoa
Honolulu, United States
2 h-index
2 publications
207 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
1 h-index
1 publications
33 citations

Sungshin Women's University
Seoul, South Korea
1 h-index
1 publications
157 citations

East China Normal University
Shanghai, China
1 h-index
1 publications
24 citations
Seoul National University of Education
Seoul, South Korea
1 h-index
1 publications
157 citations
Universitat de València
Valencia, Spain
1 h-index
2 publications
40 citations
University of California, Davis
Davis, United States
1 h-index
1 publications
188 citations
1–8 of 37
LLT · 5 publications · 331 citations
5
h-index
3 publications · 76 citations
3
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3 publications · 68 citations
3
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MLJ · 3 publications · 231 citations
3
h-index
2 publications · 100 citations
2
h-index
1–5