Literaturnachweis - Detailanzeige
| Autor/inn/en | Ayers, Elizabeth; Junker, Brian |
|---|---|
| Titel | IRT Modeling of Tutor Performance to Predict End-of-Year Exam Scores |
| Quelle | In: Educational and Psychological Measurement, 68 (2008) 6, S.972-987 (16 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
| Zusatzinformation | Weitere Informationen |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 0013-1644 |
| DOI | 10.1177/0013164408318758 |
| Schlagwörter | Federal Legislation; Tests; Scores; Academic Achievement; Tutors; Item Response Theory; Accountability; Prediction; Mathematics Instruction; Models; Error of Measurement; Comparative Analysis; Evaluation Methods |
| Abstract | Interest in end-of-year accountability exams has increased dramatically since the passing of the No Child Left Behind Act in 2001. With this increased interest comes a desire to use student data collected throughout the year to estimate student proficiency and predict how well they will perform on end-of-year exams. This article uses student performance on the Assistment System, an online mathematics tutor, to show that replacing percentage correct with an Item Response Theory estimate of student proficiency leads to better fitting prediction models. In addition, it uses other tutor performance metrics to further increase prediction accuracy. Prediction error bounds are also calculated to attain an absolute measure to which the models can be compared. (Contains 2 tables and 2 figures.) (As Provided). |
| Anmerkungen | SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2017/4/10 |
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