Publication Date
| In 2025 | 1 |
| Since 2024 | 2 |
| Since 2021 (last 5 years) | 4 |
| Since 2016 (last 10 years) | 5 |
| Since 2006 (last 20 years) | 5 |
Descriptor
| Essays | 5 |
| Natural Language Processing | 5 |
| Scoring | 4 |
| Artificial Intelligence | 3 |
| Automation | 3 |
| Computer Assisted Testing | 3 |
| Cues | 3 |
| Evaluation Methods | 3 |
| Classification | 2 |
| Elementary School Students | 2 |
| Feedback (Response) | 2 |
| More ▼ | |
Source
| American Educational Research… | 1 |
| Grantee Submission | 1 |
| International Educational… | 1 |
| Language Assessment Quarterly | 1 |
| ProQuest LLC | 1 |
Author
| Andrew Avitabile | 1 |
| Andrew Kwok | 1 |
| Barnes, Tiffany, Ed. | 1 |
| Brendan Bartanen | 1 |
| Brian Heseung Kim | 1 |
| Chen, Dandan | 1 |
| E. E. Jang | 1 |
| Hebert, Michael | 1 |
| Hershkovitz, Arnon, Ed. | 1 |
| Hu, Xiangen, Ed. | 1 |
| L. Hannah | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 3 |
| Collected Works - Proceedings | 1 |
| Dissertations/Theses -… | 1 |
Education Level
| Early Childhood Education | 5 |
| Middle Schools | 4 |
| Elementary Education | 3 |
| Primary Education | 3 |
| Elementary Secondary Education | 2 |
| Grade 3 | 2 |
| Grade 4 | 2 |
| Grade 5 | 2 |
| Higher Education | 2 |
| Intermediate Grades | 2 |
| Junior High Schools | 2 |
| More ▼ | |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Direct linkYi Gui – ProQuest LLC, 2024
This study explores using transfer learning in machine learning for natural language processing (NLP) to create generic automated essay scoring (AES) models, providing instant online scoring for statewide writing assessments in K-12 education. The goal is to develop an instant online scorer that is generalizable to any prompt, addressing the…
Descriptors: Writing Tests, Natural Language Processing, Writing Evaluation, Scoring
Peer reviewedChen, Dandan; Hebert, Michael; Wilson, Joshua – American Educational Research Journal, 2022
We used multivariate generalizability theory to examine the reliability of hand-scoring and automated essay scoring (AES) and to identify how these scoring methods could be used in conjunction to optimize writing assessment. Students (n = 113) included subsamples of struggling writers and non-struggling writers in Grades 3-5 drawn from a larger…
Descriptors: Reliability, Scoring, Essays, Automation
Brendan Bartanen; Andrew Kwok; Andrew Avitabile; Brian Heseung Kim – Grantee Submission, 2025
Heightened concerns about the health of the teaching profession highlight the importance of studying the early teacher pipeline. This exploratory, descriptive article examines preservice teachers' expressed motivation for pursuing a teaching career. Using data from a large teacher education program in Texas, we use a natural language processing…
Descriptors: Career Choice, Teaching (Occupation), Teacher Education Programs, Preservice Teachers
L. Hannah; E. E. Jang; M. Shah; V. Gupta – Language Assessment Quarterly, 2023
Machines have a long-demonstrated ability to find statistical relationships between qualities of texts and surface-level linguistic indicators of writing. More recently, unlocked by artificial intelligence, the potential of using machines to identify content-related writing trait criteria has been uncovered. This development is significant,…
Descriptors: Validity, Automation, Scoring, Writing Assignments
Download full textHu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
