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) | 2 |
Descriptor
| Computer Assisted Testing | 2 |
| Correlation | 2 |
| Language Tests | 2 |
| Scoring | 2 |
| Automation | 1 |
| College Entrance Examinations | 1 |
| Comparative Analysis | 1 |
| Computer Software | 1 |
| English (Second Language) | 1 |
| Essay Tests | 1 |
| Essays | 1 |
| More ▼ | |
Source
| ETS Research Report Series | 2 |
Author
| Zhang, Mo | 2 |
| Bejar, Isaac I. | 1 |
| Breyer, F. Jay | 1 |
| Chen, Jing | 1 |
| Lorenz, Florian | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
| Tests/Questionnaires | 1 |
Education Level
| Higher Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Download full textChen, Jing; Zhang, Mo; Bejar, Isaac I. – ETS Research Report Series, 2017
Automated essay scoring (AES) generally computes essay scores as a function of macrofeatures derived from a set of microfeatures extracted from the text using natural language processing (NLP). In the "e-rater"® automated scoring engine, developed at "Educational Testing Service" (ETS) for the automated scoring of essays, each…
Descriptors: Computer Assisted Testing, Scoring, Automation, Essay Tests
Zhang, Mo; Breyer, F. Jay; Lorenz, Florian – ETS Research Report Series, 2013
In this research, we investigated the suitability of implementing "e-rater"® automated essay scoring in a high-stakes large-scale English language testing program. We examined the effectiveness of generic scoring and 2 variants of prompt-based scoring approaches. Effectiveness was evaluated on a number of dimensions, including agreement…
Descriptors: Computer Assisted Testing, Computer Software, Scoring, Language Tests
