Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 2 |
Descriptor
Computer Assisted Testing | 2 |
Grade 9 | 2 |
Scoring | 2 |
Writing Evaluation | 2 |
Accuracy | 1 |
Artificial Intelligence | 1 |
Automation | 1 |
Comparative Analysis | 1 |
Computational Linguistics | 1 |
Computer Software | 1 |
Cues | 1 |
More ▼ |
Source
Grantee Submission | 1 |
ProQuest LLC | 1 |
Publication Type
Dissertations/Theses -… | 1 |
Reports - Research | 1 |
Speeches/Meeting Papers | 1 |
Education Level
Elementary Education | 2 |
Grade 9 | 2 |
High Schools | 2 |
Junior High Schools | 2 |
Middle Schools | 2 |
Secondary Education | 2 |
Early Childhood Education | 1 |
Elementary Secondary Education | 1 |
Grade 10 | 1 |
Grade 11 | 1 |
Grade 6 | 1 |
More ▼ |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Yi 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
Madnani, Nitin; Burstein, Jill; Sabatini, John; O'Reilly, Tenaha – Grantee Submission, 2013
We introduce a cognitive framework for measuring reading comprehension that includes the use of novel summary-writing tasks. We derive NLP features from the holistic rubric used to score the summaries written by students for such tasks and use them to design a preliminary, automated scoring system. Our results show that the automated approach…
Descriptors: Computer Assisted Testing, Scoring, Writing Evaluation, Reading Comprehension