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Çevik, 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
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Knowlden, Adam P.; Sharma, Manoj; Bernard, Amy L. – Journal of Primary Prevention, 2012
The purpose of this study was to operationalize the constructs of the Theory of Planned Behavior (TPB) to predict the sleep intentions and behaviors of undergraduate college students attending a Midwestern University. Data collection spanned three phases. The first phase included a semi-structured qualitative interview (n = 11), readability by…
Descriptors: Prediction, Theories, Undergraduate Students, Content Validity
Oreck, Barry A.; Owen, Steven V.; Baum, Susan M. – Journal for the Education of the Gifted, 2003
The lack of valid, research-based methods to identify potential artistic talent hampers the inclusion of the arts in programs for the gifted and talented. The Talent Assessment Process in Dance, Music, and Theater (D/M/T TAP) was designed to identify potential performing arts talent in diverse populations, including bilingual and special education…
Descriptors: Talent, Art Education, Prediction, Construct Validity