Literaturnachweis - Detailanzeige
Autor/inn/en | Zhang, Fan; Litman, Diane |
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Titel | Annotation and Classification of Argumentative Writing Revisions [Konferenzbericht] Paper Presented at the Workshop on Innovative Use of NLP for Building Educational Applications (10th, NAACL Workshop, Denver, CO, Jun 4, 2015). |
Quelle | (2015), (11 Seiten)
PDF als Volltext |
Zusatzinformation | Weitere Informationen |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Monographie |
Schlagwörter | Notetaking; Classification; Persuasive Discourse; Revision (Written Composition); Sentences; Essays; Reliability; Writing Strategies; Writing Evaluation; Predictor Variables; Writing Improvement; High School Students; Writing Assignments; Scores; Regression (Statistics) Classification system; Klassifikation; Klassifikationssystem; Persuasion; Persuasive Kommunikation; Korrektur; Sentence analysis; Satzanalyse; Essay; Aufsatzunterricht; Reliabilität; Schreibtechnik; Prädiktor; High school; High schools; Student; Students; Oberschule; Schüler; Schülerin; Studentin; Regression; Regressionsanalyse |
Abstract | This paper explores the annotation and classification of students' revision behaviors in argumentative writing. A sentence-level revision schema is proposed to capture why and how students make revisions. Based on the proposed schema, a small corpus of student essays and revisions was annotated. Studies show that manual annotation is reliable with the schema and the annotated information helpful for revision analysis. Further-more, features and methods are explored for the automatic classification of revisions. Intrinsic evaluations demonstrate promising performance in high-level revision classification (surface vs. text-based). Extrinsic evaluations demonstrate that our method for automatic revision classification can be used to predict a writer's improvement. (As Provided). |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2020/1/01 |