Literaturnachweis - Detailanzeige
| Autor/inn/en | Klobucar, Andrew; Elliot, Norbert; Deess, Perry; Rudniy, Oleksandr; Joshi, Kamal |
|---|---|
| Titel | Automated Scoring in Context: Rapid Assessment for Placed Students |
| Quelle | In: Assessing Writing, 18 (2013) 1, S.62-84 (23 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 1075-2935 |
| DOI | 10.1016/j.asw.2012.10.001 |
| Schlagwörter | Writing Evaluation; Scoring; Writing Instruction; Essays; Essay Tests; Computer Assisted Testing; Statistical Analysis; At Risk Students; College Freshmen; Ethnic Groups; Computer Software Evaluation; Automation; Research Universities; Student Placement |
| Abstract | This study investigated the use of automated essay scoring (AES) to identify at-risk students enrolled in a first-year university writing course. An application of AES, the "Criterion"[R] Online Writing Evaluation Service was evaluated through a methodology focusing on construct modelling, response processes, disaggregation, extrapolation, generalization, and consequence. Based on the results of our two-year study with students (N = 1,482) at a public technological research university in the United States, we found that "Criterion" offered a defined writing construct congruent with established models, achieved acceptance among students and instructors, showed no statistically significant differences between ethnicity groups of sufficient sample size, correlated at acceptable levels with other writing measures, performed in a stable fashion, and enabled instructors to identify at-risk students to increase their course success. (Contains 5 tables.) (As Provided). |
| Anmerkungen | Elsevier. 6277 Sea Harbor Drive, Orlando, FL 32887-4800. Tel: 877-839-7126; Tel: 407-345-4020; Fax: 407-363-1354; e-mail: usjcs@elsevier.com; Web site: http://www.elsevier.com |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2017/4/10 |
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