Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 2 |
Descriptor
| Algorithms | 2 |
| Artificial Intelligence | 2 |
| Models | 2 |
| Natural Language Processing | 2 |
| Reading Comprehension | 2 |
| Accuracy | 1 |
| Automation | 1 |
| Computer Assisted Testing | 1 |
| Computer Software | 1 |
| Open Source Technology | 1 |
| Reading Strategies | 1 |
| More ▼ | |
Author
| Allen, Laura K. | 1 |
| Botarleanu, Robert-Mihai | 1 |
| Bulut, Okan | 1 |
| Crossley, Scott Andrew | 1 |
| Dascalu, Mihai | 1 |
| McNamara, Danielle S. | 1 |
| Yildirim-Erbasli, Seyma Nur | 1 |
Publication Type
| Reports - Research | 2 |
| Journal Articles | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Bulut, Okan; Yildirim-Erbasli, Seyma Nur – International Journal of Assessment Tools in Education, 2022
Reading comprehension is one of the essential skills for students as they make a transition from learning to read to reading to learn. Over the last decade, the increased use of digital learning materials for promoting literacy skills (e.g., oral fluency and reading comprehension) in K-12 classrooms has been a boon for teachers. However, instant…
Descriptors: Reading Comprehension, Natural Language Processing, Artificial Intelligence, Automation
Botarleanu, Robert-Mihai; Dascalu, Mihai; Allen, Laura K.; Crossley, Scott Andrew; McNamara, Danielle S. – Grantee Submission, 2021
Text summarization is an effective reading comprehension strategy. However, summary evaluation is complex and must account for various factors including the summary and the reference text. This study examines a corpus of approximately 3,000 summaries based on 87 reference texts, with each summary being manually scored on a 4-point Likert scale.…
Descriptors: Computer Assisted Testing, Scoring, Natural Language Processing, Computer Software

Peer reviewed
Direct link
