Data-Based Student Learning Objectives for Teacher Evaluation

Autor/inn/en	Lin, Shuqiong; Luo, Wen; Tong, Fuhui; Irby, Beverly J.; Alecio, Rafael Lara; Rodriguez, Linda; Chapa, Selena
Titel	Data-Based Student Learning Objectives for Teacher Evaluation
Quelle	In: Cogent Education, 7 (2020) 1, Artikel 1713427 (19 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Tong, Fuhui) ORCID (Alecio, Rafael Lara)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2331-186X
DOI	10.1080/2331186X.2020.1713427
Schlagwörter	Student Educational Objectives; Teacher Evaluation; Data Use; Academic Achievement; Growth Models; Predictive Validity; Reliability; Scores; Preschool Teachers; Grouping (Instructional Purposes); School Districts; School District Size; Urban Schools; Bilingual Education; English (Second Language); Hispanic American Students; Preschool Children; Texas; Bracken Basic Concept Scale + Suchen Sie Ihr Suchwort? Teacher appraisal; Lehrerbeurteilung; Schulleistung; Reliabilität; Pre-school education; Preschool education; Erzieher; Erzieherin; Kindergärtnerin; Vorschulerziehung; Vorschule; Grouping; Gruppenbildung; School district; Schulbezirk; School districts; Size; Schuleinzugsbereich; Urban area; Urban areas; School; Schools; Stadtregion; Stadt; Schule; Bilingual teaching; Bilingualer Unterricht; English as second language; English; Second Language; Englisch als Zweitsprache; Hispanic; Hispanic Americans; Student; Students; Hispanoamerikaner; Schüler; Schülerin; Studentin; Pre-school age; Preschool age; Child; Children; Vorschulalter; Kind; Kinder; Vorschulkind; Vorschulkinder
Abstract	Student learning objectives (SLOs) have become an increasingly popular tool for teacher evaluations as an alternative to Value-added Models (VAMs). However, the use of SLOs faces two major challenges. First, the target setting is mostly subjective and arbitrary. Second, there is little evidence on the reliability and validity of the tool. In this paper, we proposed three data-based SLO target-setting models: split, banded, and class-wide models. The data-based approach ensures that the targets set for students are challenging yet realistic and achievable. Using data of 176 pre-kindergarten teachers and two cohorts of students from a large school district in Texas, we investigated the reliability and predictive validity of teachers' SLO scores. Results indicated that teachers' SLO scores had moderate to high consistency across different subtests, and moderate stability over time. Teachers' SLO scores were also demonstrated to be useful in predicting future students' achievement, which supported the predictive validity of the tool. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01