Literaturnachweis - Detailanzeige
| Autor/inn/en | Bahr, Peter Riley; Fagioli, Loris; Hayward, Craig; Hetts, John; Lamoree, Daniel; Newell, Mallory Angeli; Nguyen, Alyssa; Sorey, Ken; Willett, Terrence |
|---|---|
| Titel | Multiple Measures Assessment: Improving Community College Student Placement in California |
| Quelle | (2017), (41 Seiten)
PDF als Volltext |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Monographie |
| Schlagwörter | Community Colleges; Two Year College Students; Student Placement; College Mathematics; College English; Predictor Variables; Academic Achievement; Developmental Studies Programs; Prior Learning; High Schools; Student Evaluation; California |
| Abstract | This paper discusses the result of a statewide research effort in California to improve the accuracy of student placement in math and English in the California Community College system. We apply decision tree methods to high school and college transcript data to identify key measures of high school achievement that predict success in ten levels of community college math courses (four developmental and six college level) and five levels of community college English courses (four developmental and one college level). We use our results to develop placement rule sets that allow community colleges to directly apply our results to their placement processes. (As Provided). |
| Anmerkungen | AERA Online Paper Repository. Available from: American Educational Research Association. 1430 K Street NW Suite 1200, Washington, DC 20005. Tel: 202-238-3200; Fax: 202-238-3250; e-mail: subscriptions@aera.net; Web site: http://www.aera.net |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2024/1/01 |
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