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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
Jason N. Beall – ProQuest LLC, 2022
This dissertation in practice seeks to design an approach to inclusive programming based upon a human capabilities approach to supporting struggling learners, including those who are not receiving special education services. The study examines the evolution of special education law and inclusive programming to highlight the ongoing struggle to…
Descriptors: Inclusion, Program Design, Elementary Education, Academic Achievement
Etai Mizrav; Lisa Lachlan – Center on Great Teachers and Leaders, 2020
Underserved schools often have fewer resources and less capacity to rigorously implement improvement strategies. As a result, the districts and schools that most need support programs are often least likely to adopt and implement them successfully--a phenomenon that we call the "needs paradox." To address the needs paradox, we created…
Descriptors: Low Achievement, School Effectiveness, Disadvantaged Schools, School Districts

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