Toward Revision-Sensitive Feedback in Automated Writing Evaluation [Konferenzbericht] Paper presented at the International Conference on Educational Data Mining (9th, 2016).

Autor/inn/en	Allen, Laura K.; Jacovina, Matthew E.; Johnson, Adam C.; McNamara, Danielle S.; Roscoe, Rod D.
Titel	Toward Revision-Sensitive Feedback in Automated Writing Evaluation [Konferenzbericht] Paper presented at the International Conference on Educational Data Mining (9th, 2016).
Quelle	(2016), (3 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Zusatzinformation	Weitere Informationen
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Revision (Written Composition); Automation; Writing Evaluation; Feedback (Response); High School Students; Intelligent Tutoring Systems; Documentation; Writing (Composition); Identification + Suchen Sie Ihr Suchwort? Korrektur; High school; High schools; Student; Students; Oberschule; Schüler; Schülerin; Studentin; Intelligentes Tutorsystem; Dokumentation; Schreibübung; Identifikation; Identifizierung
Abstract	Revising is an essential writing process yet automated writing evaluation systems tend to give feedback on discrete essay drafts rather than changes across drafts. We explore the feasibility of automated revision detection and its potential to guide feedback. Relationships between revising behaviors and linguistic features of students' essays are discussed. [This paper was published in the Proceedings of the 9th International Conference on Educational Data Mining 2016, p628-629.] (As Provided).
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01