Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 1 |
| Since 2016 (last 10 years) | 3 |
Descriptor
| Connected Discourse | 3 |
| Language Styles | 3 |
| Language Usage | 3 |
| Writing (Composition) | 3 |
| Adults | 2 |
| Foreign Countries | 2 |
| Intelligent Tutoring Systems | 2 |
| Syntax | 2 |
| Writing Improvement | 2 |
| Writing Instruction | 2 |
| Chinese | 1 |
| More ▼ | |
Author
| Li, Haiying | 3 |
| Graesser, Arthur C. | 2 |
| Cai, Zhiqiang | 1 |
| Conley, Mark | 1 |
| Graesser, Art C. | 1 |
| Pavlik, Philip I., Jr. | 1 |
| Pennebaker, James W. | 1 |
Publication Type
| Reports - Research | 3 |
| Journal Articles | 2 |
| Information Analyses | 1 |
Education Level
Audience
Location
| India | 2 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkLi, Haiying; Graesser, Arthur C. – Journal of Research on Technology in Education, 2021
This study investigated how computer agents' language style affects summary writing in an Intelligent Tutoring System, called CSAL AutoTutor. Participants interacted with two computer agents in one of three language styles: (1) a "formal" language style, (2) an "informal" language style, and (3) a "mixed" language…
Descriptors: Intelligent Tutoring Systems, Language Styles, Writing (Composition), Writing Improvement
Download full textLi, Haiying; Graesser, Art C. – Grantee Submission, 2020
This study investigated how computer agents' language style affects summary writing in an Intelligent Tutoring System, called CSAL AutoTutor. Participants interacted with two computer agents in one of three language styles: (1) a "formal" language style; (2) an "informal" language style; and (3) a "mixed" language…
Descriptors: Intelligent Tutoring Systems, Language Styles, Writing (Composition), Writing Improvement
Li, Haiying; Graesser, Arthur C.; Conley, Mark; Cai, Zhiqiang; Pavlik, Philip I., Jr.; Pennebaker, James W. – Discourse Processes: A multidisciplinary journal, 2016
Formality has long been of interest in the study of discourse, with periodic discussions of the best measure of formality and the relationship between formality and text categories. In this research, we explored what features predict formality as humans perceive the construct. We categorized a corpus consisting of 1,158 discourse samples published…
Descriptors: Discourse Analysis, Computational Linguistics, Comparative Analysis, Speeches
