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Prediction of Primary and Secondary Education Institutions Scholarship Examination (PSEISE) Success with Artificial Neural Networks
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Rumeysa Demir; Metin Demir – Educational Process: International Journal, 2025
Background/purpose: This study aims to reveal in detail the extent to which the variables in The Primary and Secondary Education Institutions Scholarship Examination (PSEISE) predict the success of students on the scholarship exam with the help of artificial neural networks (ANN). In addition, in light of the findings obtained as a result of the…
Descriptors: Elementary Secondary Education, Foreign Countries, Artificial Intelligence, Computer Software
Evaluating the Effectiveness of a Computerized Achievement Test Using Learn Smart for Psychometric Assessment under Item Response Theory
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Mimi Ismail; Ahmed Al - Badri; Said Al - Senaidi – Journal of Education and e-Learning Research, 2025
This study aimed to reveal the differences in individuals' abilities, their standard errors, and the psychometric properties of the test according to the two methods of applying the test (electronic and paper). The descriptive approach was used to achieve the study's objectives. The study sample consisted of 74 male and female students at the…
Descriptors: Achievement Tests, Computer Assisted Testing, Psychometrics, Item Response Theory