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Autor/inn/enWilson, Joshua; Huang, Yue; Palermo, Corey; Beard, Gaysha; MacArthur, Charles A.
TitelAutomated Feedback and Automated Scoring in the Elementary Grades: Usage, Attitudes, and Associations with Writing Outcomes in a Districtwide Implementation of MI Write
QuelleIn: International Journal of Artificial Intelligence in Education, 31 (2021) 2, S.234-276 (43 Seiten)Infoseite zur Zeitschrift
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ZusatzinformationORCID (Wilson, Joshua)
ORCID (Palermo, Corey)
ORCID (MacArthur, Charles A.)
Weitere Informationen
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1560-4292
DOI10.1007/s40593-020-00236-w
SchlagwörterAutomation; Writing Evaluation; Feedback (Response); Computer Software; Elementary School Students; Student Attitudes; Teacher Attitudes; Writing Teachers; Essays; Predictor Variables; Standardized Tests; Essay Tests; Revision (Written Composition); Scores; Program Implementation
AbstractThis study examined a naturalistic, districtwide implementation of an automated writing evaluation (AWE) software program called "MI Write" in elementary schools. We specifically examined the degree to which aspects of MI Write were implemented, teacher and student attitudes towards MI Write, and whether MI Write usage along with other predictors like demographics and writing self-efficacy explained variability in students' performance on a proximal and distal measure of writing performance. The participants included 1935 students in Grades 3-5 and 135 writing teachers from 14 elementary schools in a mid-Atlantic school district. Findings indicated that though MI Write was somewhat under-utilized, teachers and students held positive attitudes towards the AWE system. Usage of MI Write had a mixed and limited predictive effect on outcomes: The number of essays written had a small predictive effect on state test performance for Grades 3 and 5; gain on revision had a moderate predictive effect on posttest writing quality and a small predictive effect for Grade 5 state test performance. Students' average AWE scores showed consistently moderate to large predictive effects for all outcomes. Interpreted in light of the underlying architecture of MI Write, findings have implications for other school districts considering implementing AWE as well as the design of AWE systems intended to support the teaching and learning of writing. (As Provided).
AnmerkungenSpringer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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