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
Artificial Intelligence | 1 |
Automation | 1 |
Documentation | 1 |
Error Patterns | 1 |
Learning Processes | 1 |
Likert Scales | 1 |
Models | 1 |
Natural Language Processing | 1 |
Prediction | 1 |
Regression (Statistics) | 1 |
Scoring | 1 |
More ▼ |
Source
Grantee Submission | 1 |
Author
Allen, Laura K. | 1 |
Botarleanu, Robert-Mihai | 1 |
Crossley, Scott Andrew | 1 |
Dascalu, Mihai | 1 |
McNamara, Danielle S. | 1 |
Publication Type
Reports - Research | 1 |
Speeches/Meeting Papers | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Botarleanu, Robert-Mihai; Dascalu, Mihai; Allen, Laura K.; Crossley, Scott Andrew; McNamara, Danielle S. – Grantee Submission, 2022
Automated scoring of student language is a complex task that requires systems to emulate complex and multi-faceted human evaluation criteria. Summary scoring brings an additional layer of complexity to automated scoring because it involves two texts of differing lengths that must be compared. In this study, we present our approach to automate…
Descriptors: Automation, Scoring, Documentation, Likert Scales