Large-scale studies in mathematics education.

Sonst. Personen	Middleton, James A. (Hrsg.); Cai, Jinfa (Hrsg.); Hwang, Stephen (Hrsg.)
Titel	Large-scale studies in mathematics education.
Quelle	Cham; Heidelberg: Springer (2015), XXIX, 432 S. PDF als Volltext (1); PDF als Volltext (2) Link als defekt meldenVerfügbarkeit
Reihe	Research in mathematics education
Beigaben	Illustrationen
Sprache	englisch
Dokumenttyp	online; gedruckt; Monographie
ISBN	978-3-319-07715-4
DOI	10.1007/978-3-319-07716-1
Schlagwörter	Empirische Untersuchung; Evaluation; Quantitative Forschung; Lernstandserhebung; Bildungsstandards; Schuljahr 05; Schuljahr 08; Lehrer; Curriculum; Hausaufgabe; Unterrichtsforschung; Pflichtfach; Algebra; Mathematikunterricht; Zahlensystem; Messung; Überzeugung; E-Learning; Aufgabenstellung; Effektivität; Heterogenität; Implementierung; Wissenszuwachs; Ethnische Gruppe; Online; China; USA
Abstract	In recent years, funding agencies [...] have increasingly emphasized large-scale studies with experimental and quasi-experimental designs looking for "objective truths". Educational researchers have recently begun to use large-scale studies to understand what really works, from developing interventions, to validation studies of the intervention, and then to efficacy studies and the final "scale-up" for large implementation of an intervention. Moreover, modeling student learning developmentally, taking into account cohort factors, issues of socioeconomics, local political context and the presence or absence of interventions requires the use of large data sets, wherein these variables can be sampled adequately and inferences made. Inroads in quantitative methods have been made in the psychometric and sociometric literatures, but these methods are not yet common knowledge in the mathematics education community. In fact, currently there is no volume devoted to discussion of issues related to large-scale studies and to report findings from them. This volume [...] discusses methodological issue in large-scale studies and reports empirical data from large-scale studies. (Orig.).
Erfasst von	DIPF \| Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main
Update	2017/1