Titlebook: Linking Competence to Opportunities to Learn; Models of Competence Xiufeng Liu Book 2009 Springer Science+Business Media B.V. 2009 algorith

調(diào)味品

Linking Competence to Opportunities to Learn978-1-4020-9911-3Series ISSN 1873-1058 Series E-ISSN 2213-2236

共同確定為確

Xiufeng LiuLinks opportunities to learn to student competence status.Introduces a powerful new methodology – data mining, including tutorials.Contains easy-to-interpret graphical models of competence ea.Expands

責(zé)任

crutch

Models of Competence and Data Mining,TL from some students is unethical and should never be done in educational research. The unfeasibility of experimental studies leaves the methodological options to statistical methods, especially causal comparative methods. Causal comparative methods are based on correlations, supplemented with conc

enormous

Models of Competence and Opportunities to Learn in the Classroom,., different combinations of the 61 teaching practices, these 61 variables can potentially represent a large number of teaching scenarios, or science teaching profiles. This chapter will identify significant teaching profiles associated with reaching or failing to reach NAEP competence.

沒花的是打擾

Models of Competence and Opportunities to Learn at Home,round and home environment deemed relevant to students‘ science achievement. The questions pertain to student activities and resources at home and are related to parents‘ education; language spoken at home; available books, magazines, and newspapers; time spent on watching television/video; extra re

一再遛

OATH

Pedagogical and Policy Implications,principals‘, teachers‘ and students‘ interpretations of them may nonetheless have differed. Third, NAEP is a cross-sectional survey. Secondary analysis of NAEP data can only give an overall picture on similarities and differences on student achievement by different categories, and relationships betw

紳士

municipality