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Xu, Yinuo; Pardos, Zachary A. – International Educational Data Mining Society, 2023
In studies that generate course recommendations based on similarity, the typical enrollment data used for model training consists only of one record per student-course pair. In this study, we explore and quantify the additional signal present in course transaction data, which includes a more granular account of student administrative interactions…
Descriptors: Semantics, Enrollment Trends, Learning Analytics, STEM Education
Ruth E. Ryder; James Lynn Woodworth – Office of Elementary and Secondary Education, US Department of Education, 2021
The Department is providing States flexibility for reporting SY 2019-2020 average daily attendance (ADA) data in order to ensure the data are consistent and as accurate as possible. As required by section 8101(1) of the Elementary and Secondary Education Act of 1965 (ESEA), each State will continue to report ADA based on either the Federal or the…
Descriptors: Average Daily Attendance, Accuracy, Reliability, Reports
Grover, Lisa S.; Quisenberry, Brooke – National Alliance for Public Charter Schools, 2022
Finding funds to build and renovate facilities is a major hurdle for public charter schools because most state laws do not provide charter schools with the full amount of state and local funding that other public schools receive. Although an increasing number of states are passing laws to address charter school facility funding gaps, inequities…
Descriptors: Charter Schools, Educational Finance, State Legislation, Educational Facilities
National Forum on Education Statistics, 2023
This guide is designed for use by school, district, and state education agency staff to improve the effectiveness of efforts to collect and use discipline data, including reporting accurate and timely data to the federal government. It explains the importance of collecting discipline data, identifies key considerations for agencies implementing…
Descriptors: Discipline, Data Collection, Data Analysis, School Districts
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Hester, C.; Lazarev, V.; Zacamy, J.; Nardi, C.; Feygin, A. – Regional Educational Laboratory Southwest, 2022
Regional Educational Laboratory Southwest partnered with the Arkansas Department of Education to examine Arkansas's middle school and high school indicators of postsecondary readiness and success, building on an earlier study of these indicators (Hester et al., 2021). Academic indicators include attaining proficiency on state academic…
Descriptors: State Departments of Education, College Readiness, Middle School Students, High School Students
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Hester, Candace; Lazarev, Valeriy; Zacamy, Jenna; Nardi, Chelsey; Feygin, Amy – Regional Educational Laboratory Southwest, 2022
Regional Educational Laboratory Southwest partnered with the Arkansas Department of Education (ADE) to examine Arkansas's middle and high school indicators of postsecondary readiness and success, building on an earlier study of these indicators (Hester et al., 2021). Academic indicators include attaining proficiency on state achievement tests,…
Descriptors: College Readiness, Middle School Students, High School Students, Achievement Tests