Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 1 |
| Since 2016 (last 10 years) | 1 |
| Since 2006 (last 20 years) | 1 |
Descriptor
| Algorithms | 1 |
| Automation | 1 |
| Computer Assisted Testing | 1 |
| Concept Formation | 1 |
| Construct Validity | 1 |
| Essays | 1 |
| Feedback (Response) | 1 |
| Formative Evaluation | 1 |
| Grade 7 | 1 |
| Grade 8 | 1 |
| Middle School Students | 1 |
| More ▼ | |
Source
| International Journal of… | 1 |
Author
| Myers, Matthew C. | 1 |
| Wilson, Joshua | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
| Elementary Education | 1 |
| Grade 7 | 1 |
| Grade 8 | 1 |
| Junior High Schools | 1 |
| Middle Schools | 1 |
| Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkMyers, Matthew C.; Wilson, Joshua – International Journal of Artificial Intelligence in Education, 2023
This study evaluated the construct validity of six scoring traits of an automated writing evaluation (AWE) system called "MI Write." Persuasive essays (N = 100) written by students in grades 7 and 8 were randomized at the sentence-level using a script written with Python's NLTK module. Each persuasive essay was randomized 30 times (n =…
Descriptors: Construct Validity, Automation, Writing Evaluation, Algorithms
