Publication Date
In 2024 | 0 |
Since 2023 | 1 |
Since 2020 (last 5 years) | 3 |
Since 2015 (last 10 years) | 4 |
Since 2005 (last 20 years) | 4 |
Descriptor
Reading Comprehension | 4 |
Artificial Intelligence | 3 |
Semantics | 3 |
Computational Linguistics | 2 |
Computer Software | 2 |
Models | 2 |
Natural Language Processing | 2 |
Network Analysis | 2 |
Prediction | 2 |
Scores | 2 |
Automation | 1 |
More ▼ |
Source
Grantee Submission | 4 |
Author
Dascalu, Mihai | 4 |
McNamara, Danielle S. | 4 |
Nicula, Bogdan | 4 |
Perret, Cecile A. | 2 |
Arner, Tracy | 1 |
Balyan, Renu | 1 |
Newton, Natalie N. | 1 |
Orcutt, Ellen | 1 |
Publication Type
Reports - Research | 4 |
Speeches/Meeting Papers | 2 |
Journal Articles | 1 |
Education Level
Higher Education | 1 |
Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Nicula, Bogdan; Dascalu, Mihai; Arner, Tracy; Balyan, Renu; McNamara, Danielle S. – Grantee Submission, 2023
Text comprehension is an essential skill in today's information-rich world, and self-explanation practice helps students improve their understanding of complex texts. This study was centered on leveraging open-source Large Language Models (LLMs), specifically FLAN-T5, to automatically assess the comprehension strategies employed by readers while…
Descriptors: Reading Comprehension, Language Processing, Models, STEM Education
Nicula, Bogdan; Dascalu, Mihai; Newton, Natalie N.; Orcutt, Ellen; McNamara, Danielle S. – Grantee Submission, 2021
Learning to paraphrase supports both writing ability and reading comprehension, particularly for less skilled learners. As such, educational tools that integrate automated evaluations of paraphrases can be used to provide timely feedback to enhance learner paraphrasing skills more efficiently and effectively. Paraphrase identification is a popular…
Descriptors: Computational Linguistics, Feedback (Response), Classification, Learning Processes
Nicula, Bogdan; Perret, Cecile A.; Dascalu, Mihai; McNamara, Danielle S. – Grantee Submission, 2020
Theories of discourse argue that comprehension depends on the coherence of the learner's mental representation. Our aim is to create a reliable automated representation to estimate readers' level of comprehension based on different productions, namely self-explanations and answers to open-ended questions. Previous work relied on Cohesion Network…
Descriptors: Network Analysis, Reading Comprehension, Automation, Artificial Intelligence
Nicula, Bogdan; Perret, Cecile A.; Dascalu, Mihai; McNamara, Danielle S. – Grantee Submission, 2019
Theories of discourse argue that comprehension depends on the coherence of the learner's mental representation. Our aim is to create a reliable automated representation to estimate readers' level of comprehension based on different productions, namely self-explanations and answers to open-ended questions. Previous work relied on Cohesion Network…
Descriptors: Prediction, Reading Comprehension, Network Analysis, Information Sources