Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 2 |
Since 2006 (last 20 years) | 3 |
Descriptor
Computational Linguistics | 3 |
Evaluators | 3 |
Natural Language Processing | 3 |
Plagiarism | 3 |
Predictor Variables | 3 |
Semantics | 3 |
Citations (References) | 2 |
Cognitive Processes | 2 |
Computer Software | 2 |
Cues | 2 |
Essays | 2 |
More ▼ |
Author
Allen, Laura | 2 |
Crossley, Scott | 2 |
McNamara, Danielle | 2 |
Wan, Qian | 2 |
Gómez-Veiga, Isabel | 1 |
Jorge-Botana, Guillermo | 1 |
Luzón, José M. | 1 |
Martín-Cordero, Jesús I. | 1 |
Publication Type
Reports - Research | 3 |
Journal Articles | 2 |
Tests/Questionnaires | 2 |
Education Level
Higher Education | 1 |
Postsecondary Education | 1 |
Audience
Location
Spain | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Crossley, Scott; Wan, Qian; Allen, Laura; McNamara, Danielle – Reading and Writing: An Interdisciplinary Journal, 2023
Synthesis writing is widely taught across domains and serves as an important means of assessing writing ability, text comprehension, and content learning. Synthesis writing differs from other types of writing in terms of both cognitive and task demands because it requires writers to integrate information across source materials. However, little is…
Descriptors: Writing Skills, Cognitive Processes, Essays, Cues
Crossley, Scott; Wan, Qian; Allen, Laura; McNamara, Danielle – Grantee Submission, 2021
Synthesis writing is widely taught across domains and serves as an important means of assessing writing ability, text comprehension, and content learning. Synthesis writing differs from other types of writing in terms of both cognitive and task demands because it requires writers to integrate information across source materials. However, little is…
Descriptors: Writing Skills, Cognitive Processes, Essays, Cues
Jorge-Botana, Guillermo; Luzón, José M.; Gómez-Veiga, Isabel; Martín-Cordero, Jesús I. – Journal of Educational Computing Research, 2015
A latent semantic analysis-based automated summary assessment is described; this automated system is applied to a real learning from text task in a Distance Education context. We comment on the use of automated content, plagiarism, text coherence measures, and word weights average and their impact on predicting human judges summary scoring. A…
Descriptors: Foreign Countries, Distance Education, Regression (Statistics), Plagiarism