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Download full textÇevik, Mustafa; Tabaru-Örnek, Gizem – International Online Journal of Education and Teaching, 2020
In this study, it was aimed to compare the predictions of the academic achievement of the artificial neural networks (ANN) run in MATLAB and SPSS software and to determine the factors related to their academic achievement. Sample consisted of 465 students who were studying at Grade 4 in primary schools in the Central Anatolian Region of Turkey in…
Descriptors: Comparative Analysis, Academic Achievement, Computer Software, Prediction
Direct linkYang, Chin Wen; Sherman, Helene; Murdick, Nikki – Investigations in Mathematics Learning, 2011
The purpose of this research study was to investigate and classify particular categories of mathematical errors made by students with Limited English Proficiency. Participants included 15 general education teachers, two English as Second Language teachers, and 91 Limited English Proficiency students. General education teachers provided mathematics…
Descriptors: Intervention, Content Validity, Interrater Reliability, Error Patterns
Fernandez, Nicole; Inserra, Albert – TESL-EJ, 2013
This study explores the possible causes behind the disproportionate percentages of English language learners (ELLs) classified into U.S. special education. Elementary school classroom teachers were examined, from school districts that exhibited growth in the percentage of English language learners with Individual Education Plans during 2007-2010.…
Descriptors: Disproportionate Representation, Special Education, English (Second Language), Second Language Learning
