Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 3 |
Descriptor
English (Second Language) | 3 |
Language Tests | 3 |
Second Language Learning | 3 |
Taxonomy | 3 |
Computer Assisted Testing | 2 |
Scores | 2 |
Test Items | 2 |
Acoustics | 1 |
Age Differences | 1 |
Animation | 1 |
Coding | 1 |
More ▼ |
Author
Baghaei, Samira | 1 |
Bagheri, Mohammad Sadegh | 1 |
Blanchard, Daniel | 1 |
Cahill, Aoife | 1 |
Chodorow, Martin | 1 |
Edward Paul Getman | 1 |
Higgins, Derrick | 1 |
Tetreault, Joel | 1 |
Yamini, Mortaza | 1 |
Publication Type
Journal Articles | 2 |
Reports - Research | 2 |
Dissertations/Theses -… | 1 |
Education Level
Elementary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
Test of English as a Foreign… | 3 |
International English… | 1 |
What Works Clearinghouse Rating
Baghaei, Samira; Bagheri, Mohammad Sadegh; Yamini, Mortaza – Cogent Education, 2020
The main purpose of this quantitative-qualitative content analysis study was to compare IELTS and TOEFL listening and reading tests based on the representation of the learning objectives of Revised Bloom's taxonomy. To this end, 12 Academic IELTS listening and reading tests and 12 TOEFL iBT listening and reading tests were analyzed qualitatively…
Descriptors: Second Language Learning, English (Second Language), Language Tests, Reading Tests
Edward Paul Getman – Online Submission, 2020
Despite calls for engaging assessments targeting young language learners (YLLs) between 8 and 13 years old, what makes assessment tasks engaging and how such task characteristics affect measurement quality have not been well studied empirically. Furthermore, there has been a dearth of validity research about technology-enhanced speaking tests for…
Descriptors: English (Second Language), Language Tests, Second Language Learning, Learner Engagement
Blanchard, Daniel; Tetreault, Joel; Higgins, Derrick; Cahill, Aoife; Chodorow, Martin – ETS Research Report Series, 2013
This report presents work on the development of a new corpus of non-native English writing. It will be useful for the task of native language identification, as well as grammatical error detection and correction, and automatic essay scoring. In this report, the corpus is described in detail.
Descriptors: Language Tests, Second Language Learning, English (Second Language), Writing Tests