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Raudonyte, Ieva – UNESCO International Institute for Educational Planning, 2021
Although the number of countries conducting large-scale assessments has increased significantly over the past two decades, this has not necessarily led to the effective use of learning assessment data in policy-making and planning. To better understand the reasons for this, the UNESCO International Institute for Educational Planning (IIEP)…
Descriptors: Foreign Countries, Measurement, Data Use, Educational Planning
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Lake, Robin; Worthen, Maria – Center on Reinventing Public Education, 2021
The COVID-19 pandemic has disrupted the U.S. education system in both immediate and long-term ways, calling into question how K-12 accountability will function in the 2020-21 school year and well into the future. States face considerable uncertainty about how to meet federal and state accountability requirements for this school year and beyond. It…
Descriptors: Accountability, State Standards, COVID-19, Pandemics
Raudonyte, Ieva – UNESCO International Institute for Educational Planning, 2021
Large-scale learning assessments can be used to generate performance and contextual data on student learning outcomes. They can be national, regional, or international; school based or household based. The UNESCO International Institute for Educational Planning (IIEP-UNESCO) has conducted a qualitative study to explore both how and why learning…
Descriptors: Foreign Countries, Measurement, Data Use, Educational Planning
Connors-Tadros, L. – Center on Enhancing Early Learning Outcomes, 2014
The Center on Enhancing Early Learning Outcomes (CEELO) was asked to provide information on how other states are approaching the development and implementation of Kindergarten Entry Assessment (KEA) as part of a comprehensive assessment system. Specifically, the request asked for information about KEA measures used by other states, the processes…
Descriptors: Kindergarten, State Policy, Information Sources, Educational Resources
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Wyse, Adam E.; Albano, Anthony D. – Applied Measurement in Education, 2015
This article used several data sets from a large-scale state testing program to examine the feasibility of combining general and modified assessment items in computerized adaptive testing (CAT) for different groups of students. Results suggested that several of the assumptions made when employing this type of mixed-item CAT may not be met for…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Items, Testing Programs