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Jeremiah T. Stark – ProQuest LLC, 2024
This study highlights the role and importance of advanced, machine learning-driven predictive models in enhancing the accuracy and timeliness of identifying students at-risk of negative academic outcomes in data-driven Early Warning Systems (EWS). K-12 school districts have, at best, 13 years to prepare students for adulthood and success. They…
Descriptors: High School Students, Graduation Rate, Predictor Variables, Predictive Validity
Office of Elementary and Secondary Education, US Department of Education, 2018
This guide aims to help parents understand the flexibility provided to States and school districts in the "Every Student Succeeds Act" (ESSA), which amended the "Elementary and Secondary Education Act," a landmark Federal education law. Parents are the most important advocates for their children. Because States and school…
Descriptors: Educational Legislation, Federal Legislation, Elementary Secondary Education, Tests
Lawrence, Arul A. S. – Online Submission, 2015
The XX IDEA annual conference has been focused and reflected on different ways and means of meeting various kinds of methodological challenges, new technologies and multi-media developments, newly emerging partnerships and collaboration between emerging sectors on one hand and between the institutions functioning with similar objectives and…
Descriptors: Foreign Countries, Open Education, Distance Education, Barriers