Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Accuracy | 1 |
| Artificial Intelligence | 1 |
| College Freshmen | 1 |
| Computational Linguistics | 1 |
| Computer Software | 1 |
| Contrastive Linguistics | 1 |
| English (Second Language) | 1 |
| Essays | 1 |
| Grammar | 1 |
| Language Patterns | 1 |
| Native Language | 1 |
| More ▼ | |
Source
| Language Assessment Quarterly | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
| Tests/Questionnaires | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkDong-Ok Won; Yu Kyoung Shin; Ho-Jung Kim; Isaiah WonHo Yoo – Language Assessment Quarterly, 2025
Despite the growing interest in AI for language assessment, there remains a significant research gap regarding its usefulness for assessing less proficient language skills, particularly those of learners of English as a second or foreign language (S/FL). AI models often prioritize proficient writing, neglecting the intricacies of learner language.…
Descriptors: Artificial Intelligence, Computer Software, Phrase Structure, Native Language
