Evaluating the consistency between human raters and three AI systems on the scoring of argumentative essays
Bibliographic Data
| ID | 22420586 |
|---|---|
| Authors | SeongYeup Kim (0000-0002-3703-8243, Pennsylvania State University, corresponding author), Matthew T McCrudden (0000-0001-8347-3353, Pennsylvania State University) |
| Year | 2026 |
| Volume | 68 |
| Pages | 101031 |
| Publication date | 2026-04-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Assessing Writing (JOURNAL) |
| Journal identifiers | ISSN: 1075-2935 • E-ISSN: 1873-5916 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.asw.2026.101031 |
| OpenAlex | W7131640219 |
| Language | EN |
| Citations received | 1 |
| References cited | 38 |
Argumentative · Scoring system · Trait · Writing assessment · Artificial Intelligence in Healthcare and Education · Intelligent Tutoring Systems and Adaptive Learning · Topic Modeling
Comparing the quality of human and ChatGPT feedback of students’ writing
Automated essay evaluation software in English Language Arts classrooms
Exploring the potential of using an AI language model for automated essay scoring
Feedback sources in essay writing
Scoring with the computer
On-line Grading of Student Essays
Can ChatGPT effectively complement teacher assessment of undergraduate students’ academic writing
The role of automated writing evaluation holistic scores in the ESL classroom
Validity of psychological assessment
On choosing a test statistic in multivariate analysis of variance
| Citations per year | 1 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |