Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 1 |
| Since 2006 (last 20 years) | 1 |
Descriptor
| Computer Assisted Instruction | 1 |
| Difficulty Level | 1 |
| Intelligent Tutoring Systems | 1 |
| Language Proficiency | 1 |
| Readability | 1 |
| Reader Text Relationship | 1 |
| Reading Comprehension | 1 |
| Reading Materials | 1 |
| Second Language Learning | 1 |
Source
| Computer Assisted Language… | 1 |
Author
| Chen, Xiaobin | 1 |
| Meurers, Detmar | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Evaluative | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Linking Text Readability and Learner Proficiency Using Linguistic Complexity Feature Vector Distance
Peer reviewed
Direct linkChen, Xiaobin; Meurers, Detmar – Computer Assisted Language Learning, 2019
How can we identify authentic reading material that matches the learner's proficiency and fosters their language development? Traditionally, this involves assigning a one-dimensional label to the text that identifies the grade or proficiency level of the learners that the text is intended for. Such an approach is inadequate given that both the…
Descriptors: Computer Assisted Instruction, Second Language Learning, Language Proficiency, Readability
