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Aykut Durak; Vahide Bulut – Technology, Knowledge and Learning, 2025
The study uses the partial least squares-structural equation modeling (PLS-SEM) algorithm to predict the factors affecting the programming performance (PPE) (low, high) of the students receiving computer programming education. The participants of the study consist of 763 students who received programming education. In the analysis of the data, the…
Descriptors: Prediction, Low Achievement, High Achievement, Academic Achievement
Collier, Shartriya; Auerbach, Susan – Multicultural Education, 2011
The social nature of language learning and development has been widely acknowledged, as has the importance of family relationships in language learning processes. The role that the first language plays in the literacy development of English language learners (ELLs) and their families is irrefutable. Advocates of family literacy programs have…
Descriptors: Program Design, Federal Legislation, Program Improvement, Second Language Learning
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Auerbach, Susan; Collier, Shartriya – Teachers College Record, 2012
Background/Context: As accountability pressures have mounted toward ever-higher targets under the No Child Left Behind (NCLB) Act, low-achieving schools have sought new tools for raising achievement. The association between parent involvement and student achievement is well established, though the association is an indirect relationship mediated…
Descriptors: Accountability, Immigrants, Reading Skills, Family Literacy
Colvin, Shirley Beard – 1988
There is an urgent need for the development of learning environments that are especially suited to disadvantaged minority youth. Much of that which needs altering is the climate or atmosphere within existing schools. Determining the nature of this learning environment is a continuing problem in educational research. This document reports a study…
Descriptors: Academic Achievement, Case Studies, Disadvantaged, Educational Environment