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Romano, Richard M.; D'Amico, Mark M. – Change: The Magazine of Higher Learning, 2021
Multiple studies show that outcomes, whether they be better degree completion rates or successful short-term workforce training, are negatively affected by inadequate funding (Kahlenberg, 2015). To bolster their case for underfunding, researchers and college advocacy groups produce studies that rely on an important federal dataset--the Integrated…
Descriptors: Data, Federal Programs, Community Colleges, Full Time Students
Pretlow, Josh; Dunlop Velez, Erin; Roberson, Amanda Janice – Institute for Higher Education Policy, 2021
We cannot continue to ask students -- and their families -- to make one of the largest and most important investments of their lives without clearer information about what their time and money will yield. In partnership with RTI International (RTI), operating in an independent capacity, IHEP is gathering expert insights needed to support making…
Descriptors: College Students, Data, Information Networks, Federal Programs
Goldhaber, Dan; Holden, Kristian L. – Phi Delta Kappan, 2021
Understanding the early teacher pipeline, how many and what types of individuals are pursuing a teaching credential, is critically important. Unfortunately, as Dan Goldhaber and Kris Holden explain, the two national data collections that can be used to explore these areas provide incomplete and sometimes contrasting pictures about the number of…
Descriptors: Career Choice, Teaching (Occupation), Data Collection, Teacher Education Programs
Motz, Benjamin; Busey, Thomas; Rickert, Martin; Landy, David – International Educational Data Mining Society, 2018
Analyses of student data in post-secondary education should be sensitive to the fact that there are many different topics of study. These different areas will interest different kinds of students, and entail different experiences and learning activities. However, it can be challenging to identify the distinct academic themes that students might…
Descriptors: Data Collection, Data Analysis, Enrollment, Higher Education
Brown, Chequita S. – Office of Community College Research and Leadership, 2021
In Illinois, there are more than 21,000 children and youth in foster care. Approximately 26% of these individuals are 13 and older (Illinois Department of Children & Family Services [IDCFS] 2021). Although career and technical education (CTE) programs are offered at both secondary and postsecondary educational levels, little to no data about…
Descriptors: Foster Care, Vocational Education, Access to Education, Admission (School)
National Forum on Education Statistics, 2019
The purpose of this guide is to provide timely and useful best practice information for collecting and managing data about students who have temporarily or permanently enrolled in another school or district because of a crisis. It includes lessons learned and provides recommendations for collecting and maintaining data about students who may move…
Descriptors: Data Collection, Information Management, Enrollment, Relocation
Ziebarth, Todd – National Alliance for Public Charter Schools, 2021
This twelfth edition of "Measuring up to the Model: A Ranking of State Charter School Laws" evaluates each state's public charter school law against the 21 essential components of a strong charter school law. These 21 components are drawn from the National Alliance's "A New Model Law for Supporting the Growth of High-Quality Public…
Descriptors: Public Schools, Charter Schools, School Law, State Legislation
Sandlin, Michele – College and University, 2019
This feature focuses on the five areas an institution needs to know before implementing holistic measures. These include: what does a holistic review entail, how to be legally complaint, Sedlacek's noncognitive variables, applying student success measures, and the vital importance of training.
Descriptors: Predictor Variables, Success, Holistic Approach, Compliance (Legal)
Barret, Mandy; Branson, Lisa; Carter, Sheryl; DeLeon, Frank; Ellis, Justin; Gundlach, Cirrus; Lee, Dale – Inquiry, 2019
Artificial intelligence (AI) technology is becoming the basis for business. Most businesses use it to improve the customer experience. The education community is just beginning to find ways to successfully implement AI for staff and students. Artificial Intelligence should be leveraged to create a better student experience. For example, Elon…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, Educational Opportunities
Aliyeva, Aida; Cody, Christopher A.; Low, Kathryn – National Postsecondary Education Cooperative, 2018
This report updates the 2011-12 Integrated Postsecondary Education Data System (IPEDS) survey components report--"The History and Origins of Survey Items for the Integrated Postsecondary Education Data System"--in order to reflect the 2016-17 data collection. As the first report did, this report provides an inventory of the IPEDS data…
Descriptors: Postsecondary Education, School Surveys, Test Items, Data Collection
Armstrong, John – State Higher Education Executive Officers, 2016
Analysis of student-level data to inform policy and promote student success is a core function of executive higher education agencies. Postsecondary data systems have expanded their collection of data elements for use by policymakers, institutional staff, and the general public. The State Higher Education Executive Officers association (SHEEO), as…
Descriptors: Data Collection, Decision Making, Higher Education, Information Utilization
Pearson, Denise; Armstrong, John – State Higher Education Executive Officers, 2016
Analysis of student-level data to inform policy and promote student success is a core function of executive higher education agencies. Postsecondary data systems have expanded their collection of data elements for use by policymakers, institutional staff, and the general public. State coordinating and governing boards use these data systems for…
Descriptors: Data, State Policy, Educational Policy, Data Collection
Randall, Katie Weaver; Ward, Justin – Washington Office of Superintendent of Public Instruction, 2018
The 2013 Washington State Legislature enacted legislation (Revised Code of Washington [RCW] 28A.165.100) requiring additional data reporting for the Learning Assistance Program (LAP). Under the guidelines provided in the law, the Office of Superintendent of Public Instruction (OSPI) produces an annual report to the Legislature summarizing the…
Descriptors: Language Arts, Mathematics Education, Supplementary Education, Learning Problems
Evans, Alyssa; McCann, Meghan – Education Commission of the States, 2020
Several systemic factors contribute to the lack of stability and educational opportunities for students in foster care, including lack of transportation to the school of origin (or the schools they enrolled in when they first entered foster care), difficulty enrolling in new schools and transferring credits between school districts, gaps in…
Descriptors: Foster Care, Student Needs, Barriers, Elementary Secondary Education
Guernsey, Lisa; Holt, Alex – New America Foundation, 2012
Researchers and policy analysts have documented the challenges in collecting pre-K and other early childhood data, and reports on disparities in full-day kindergarten from the Education Commission of the States and the Children's Defense Fund place the disorganized state of kindergarten data on full display. But in both cases, organizations have…
Descriptors: Kindergarten, Data Collection, Access to Information, School Districts

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