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Thao-Trang Huynh-Cam; Long-Sheng Chen; Tzu-Chuen Lu – Journal of Applied Research in Higher Education, 2025
Purpose: This study aimed to use enrollment information including demographic, family background and financial status, which can be gathered before the first semester starts, to construct early prediction models (EPMs) and extract crucial factors associated with first-year student dropout probability. Design/methodology/approach: The real-world…
Descriptors: Foreign Countries, Undergraduate Students, At Risk Students, Dropout Characteristics
Varga, Szilvia; Pásztor, Attila; Stekács, János – Journal of Intelligence, 2022
The aims of the study are to construct an online instrument to assess different aspects of morphological awareness and to examine its development and its relation to reading comprehension in grades 2-4 in Hungarian children. Altogether, 4134 students were tested. The online test evaluated inflectional, derivational, and compound morphological…
Descriptors: Morphology (Languages), Test Construction, Computer Assisted Testing, Metalinguistics
Rastegr, Behnaz; Zarei, Abbas Ali – International Journal of Language Testing, 2023
Much has been done on assessment literacy (AL) components and job demand-resources (JD-R). However, an interdisciplinary look at AL components as the predictors of JD-R and its possible consequences for the engagement and burnout of teachers' assessment performance has been neglected. To fill this gap, the present study explored this issue in the…
Descriptors: Language Teachers, Teacher Burnout, English (Second Language), Second Language Learning
Makransky, Guido; Glas, Cees A. W. – Journal of Applied Testing Technology, 2010
An accurately calibrated item bank is essential for a valid computerized adaptive test. However, in some settings, such as occupational testing, there is limited access to test takers for calibration. As a result of the limited access to possible test takers, collecting data to accurately calibrate an item bank in an occupational setting is…
Descriptors: Foreign Countries, Simulation, Adaptive Testing, Computer Assisted Testing
Vossler, Victoria L. – ProQuest LLC, 2010
The attrition of special education teachers greatly affects the quality of special education services districts can provide for students with disabilities and creates an ongoing challenge for educational leaders. It is essential to understand the factors influencing special education teachers' decisions to leave or remain in the field. If…
Descriptors: Teacher Persistence, Special Education Teachers, Special Education, Field Tests
Brantmeier, Cindy; Vanderplank, Robert – System: An International Journal of Educational Technology and Applied Linguistics, 2008
Brantmeier [Brantmeier, C., 2006. "Advanced L2 learners and reading placement: self-assessment, computer-based testing, and subsequent performance." 'System 34" (1), 15-35] found that self-assessment (SA) of second language (L2) reading ability is not an accurate predictor for computer-based testing or subsequent classroom performance. With 359…
Descriptors: Reading Comprehension, Student Placement, Reading Achievement, Familiarity
Wise, Steven L. – Applied Measurement in Education, 2006
In low-stakes testing, the motivation levels of examinees are often a matter of concern to test givers because a lack of examinee effort represents a direct threat to the validity of the test data. This study investigated the use of response time to assess the amount of examinee effort received by individual test items. In 2 studies, it was found…
Descriptors: Computer Assisted Testing, Motivation, Test Validity, Item Response Theory
Millman, Jason – 1978
Test items, all referencing the same instructional objective, are not equally difficult. This investigation attempts to identify some of the determinants of item difficulty within the context of a first course in educational statistics. Computer generated variations of items were used to provide the data. The results were used to investigate the…
Descriptors: Computer Assisted Testing, Content Analysis, Criterion Referenced Tests, Difficulty Level