NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20250
Since 20240
Since 2021 (last 5 years)0
Since 2016 (last 10 years)2
Since 2006 (last 20 years)2
Descriptor
Accuracy2
Artificial Intelligence2
Classification2
College Students2
Comparative Analysis2
Essays2
Literature2
Mathematics2
Natural Language Processing2
Reading Comprehension2
Source
Grantee Submission1
International Educational…1
Author
Balyan, Renu2
McCarthy, Kathryn S.2
McNamara, Danielle S.2
Publication Type
Reports - Research2
Speeches/Meeting Papers2
Education Level
Higher Education2
Postsecondary Education2
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing all 2 results Save | Export
Combining Machine Learning and Natural Language Processing to Assess Literary Text Comprehension
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Balyan, Renu; McCarthy, Kathryn S.; McNamara, Danielle S. – Grantee Submission, 2017
This study examined how machine learning and natural language processing (NLP) techniques can be leveraged to assess the interpretive behavior that is required for successful literary text comprehension. We compared the accuracy of seven different machine learning classification algorithms in predicting human ratings of student essays about…
Descriptors: Artificial Intelligence, Natural Language Processing, Reading Comprehension, Literature
Combining Machine Learning and Natural Language Processing to Assess Literary Text Comprehension
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Balyan, Renu; McCarthy, Kathryn S.; McNamara, Danielle S. – International Educational Data Mining Society, 2017
This study examined how machine learning and natural language processing (NLP) techniques can be leveraged to assess the interpretive behavior that is required for successful literary text comprehension. We compared the accuracy of seven different machine learning classification algorithms in predicting human ratings of student essays about…
Descriptors: Artificial Intelligence, Natural Language Processing, Reading Comprehension, Literature