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Duration versus Accuracy--What Matters for Computerised Adaptive Testing in Schools?
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Nikola Ebenbeck; Morten Bastian; Andreas Mühling; Markus Gebhardt – Journal of Computer Assisted Learning, 2024
Background: Computerised adaptive tests (CATs) are tests that provide personalised, efficient and accurate measurement while reducing testing time, depending on the desired level of precision. Schools have different types of assessments that can benefit from a significant reduction in testing time to varying degrees, depending on the area of…
Descriptors: Computer Assisted Testing, Elementary Secondary Education, Public Schools, Special Schools
Measuring the Impact of a Blended Learning Model on Early Literacy Growth
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Wilkes, Shani; Kazakoff, Elizabeth R.; Prescott, Jen Elise; Bundschuh, Kristine; Hook, Pamela E.; Wolf, Raffaela; Hurwitz, Lisa B.; Macaruso, Paul – Journal of Computer Assisted Learning, 2020
In the context of trying to improve reading proficiency in elementary school students, this study investigated the use of digital technology as part of a blended learning program, Core5, in kindergarten and first grade classes. A quasi-experimental design compared 283 treatment students instructed in schools using Core5 with 237 control students…
Descriptors: Outcomes of Education, Blended Learning, Primary Education, Kindergarten