التفاصيل البيبلوغرافية
| العنوان: |
The Impact of Conversational Agents' Language on Summary Writing |
| اللغة: |
English |
| المؤلفون: |
Li, Haiying, Graesser, Art C. |
| المصدر: |
Grantee Submission. 2020. |
| تمت مراجعته من قبل الزملاء: |
Y |
| Page Count: |
23 |
| تاريخ النشر: |
2020 |
| Sponsoring Agency: |
Institute of Education Sciences (ED) |
| Contract Number: |
R305C120001 |
| نوع الوثيقة: |
Reports - Research |
| الواصفات: |
Intelligent Tutoring Systems, Language Styles, Writing (Composition), Writing Improvement, Writing Instruction, Syntax, Connected Discourse, Language Usage, Foreign Countries, Adults |
| مصطلحات جغرافية: |
India |
| DOI: |
10.1080/15391523.2020.1826022 |
| مستخلص: |
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 style. Primary results indicated that participants improved the quality of summary writing, spent less time writing summaries, and had lower syntactic complexity but more non-narrative summaries on posttest than pretest. However, this difference was not affected by the discourse formality that agents used during instruction. Results also showed participants rated peer summaries more accurately for cause/effect texts in the formal and mixed conditions, but generated summaries with lower referential cohesion in the informal condition on posttest than pretest. [This is the online version of an article published in "Journal of Research on Technology in Education." For the published version of this article, see EJ1289203.] |
| Abstractor: |
As Provided |
| IES Funded: |
Yes |
| Entry Date: |
2022 |
| رقم الانضمام: |
ED616962 |
| قاعدة البيانات: |
ERIC |
