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Ting Zhang; Paul Bailey; Yuqi Liao; Emmanuel Sikali – Large-scale Assessments in Education, 2024
The EdSurvey package helps users download, explore variables in, extract data from, and run analyses on large-scale assessment data. The analysis functions in EdSurvey account for the use of plausible values for test scores, survey sampling weights, and their associated variance estimator. We describe the capabilities of the package in the context…
Descriptors: National Competency Tests, Information Retrieval, Data Collection, Test Validity
Aom Perkash; Qaisar Shaheen; Robina Saleem; Furqan Rustam; Monica Gracia Villar; Eduardo Silva Alvarado; Isabel de la Torre Diez; Imran Ashraf – Education and Information Technologies, 2024
Developing tools to support students, educators, intuitions, and government in the educational environment has become an important task to improve the quality of education and learning outcomes. Information and communication technology (ICT) is adopted by educational institutions; one such instance is video interaction in flipped teaching.…
Descriptors: Academic Achievement, Colleges, Artificial Intelligence, Predictor Variables
Dan Goldhaber; Katherine Baird; Suvekshya Gautam – Center for Education Data & Research, 2024
In this paper we analyze the extent to which a mandated kindergarten assessment predicts 3rd grade outcomes, and the academic progression for students from 3rd grade to high school. We find that the kindergarten assessment strongly predicts 3rd grade outcomes, with the math skills assessment being especially predictive of 3rd grade academic…
Descriptors: Public Schools, Outcomes of Education, Academic Achievement, Achievement Gains