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Han, Yuting; Wilson, Mark – Applied Measurement in Education, 2022
A technology-based problem-solving test can automatically capture all the actions of students when they complete tasks and save them as process data. Response sequences are the external manifestations of the latent intellectual activities of the students, and it contains rich information about students' abilities and different problem-solving…
Descriptors: Technology Uses in Education, Problem Solving, 21st Century Skills, Evaluation Methods
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Wilson, Mark; Gochyyev, Perman; Scalise, Kathleen – Online Learning, 2016
This paper summarizes initial field-test results from data analytics used in the work of the Assessment and Teaching of 21st Century Skills (ATC21S) project, on the "ICT Literacy--Learning in digital networks" learning progression. This project, sponsored by Cisco, Intel and Microsoft, aims to help educators around the world enable…
Descriptors: Data Collection, Data Analysis, Technological Literacy, Social Networks
Patz, Richard J.; Wilson, Mark; Hoskens, Machteld – 1997
The National Assessment of Educational Progress (NAEP) collects data in the form of repeated, discrete measures (test items) with hierarchical structure for both measures and subjects, that is complex by any standard. This complexity has been managed through a "divide and conquer" approach of isolating and evaluating sources of…
Descriptors: Data Analysis, Data Collection, Elementary Secondary Education, Error Patterns
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Claesgens, Jennifer; Scalise, Kathleen; Wilson, Mark; Stacy, Angelica – Assessment Update, 2008
When the final report of Secretary of Education Margaret Spelling's Commission on the Future of Higher Education was released in September 2006, the call for higher education to focus on measuring and reporting "meaningful student learning outcomes" was a major charge. The report's suggestion that some standardized tests might be used to collect…
Descriptors: Higher Education, Student Evaluation, Standardized Tests, Chemistry
Wilson, Mark – 1983
This study investigates the accuracy of the Woodruff-Causey technique for estimating sampling errors for complex statistics. The technique may be applied when data are collected by using multistage clustered samples. The technique was chosen for study because of its relevance to the correct use of multivariate analyses in educational survey…
Descriptors: Data Collection, Educational Research, Estimation (Mathematics), Guidelines