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Cornman, Stephen Q.; Zhou, Lei; Ampadu, Osei; D'Antonio, Laura; Gromos, David; Wheeler, Stephen – National Center for Education Statistics, 2018
This report presents school-level finance data on expenditures by function from the School-Level Finance Survey (SLFS). The SLFS is an extension of two existing collections being conducted by the National Center for Education Statistics (NCES) in collaboration with the Census Bureau: the School District Finance Survey (F-33) and the state-level…
Descriptors: Educational Finance, Data Collection, Feasibility Studies, Elementary Secondary Education
Saenz-Armstrong, Patricia – National Council on Teacher Quality, 2021
For any labor market to function properly, clear information is needed to guide decision making; its absence invariably leads to less than optimal decisions and inefficiencies. While the broader labor market is riddled with imperfect information, the teacher labor market is particularly vulnerable--largely for the lack of the most basic…
Descriptors: Teacher Supply and Demand, Teacher Shortage, Decision Making, State Departments of Education
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National Center for Education Statistics, 2018
State and local education agencies across the country face challenges related to understanding and managing their teaching staff to best help students learn. Statewide longitudinal data systems (SLDSs) offer valuable information about teacher labor markets that can be used to analyze supply and demand, inform budget and staffing decisions, and…
Descriptors: Unions, Labor Market, Teachers, Data Collection
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Opoczynski, Renata – Education Policy Analysis Archives, 2016
While accountability in higher education has been a topic of debate for decades, in recent years the discussions have shifted to emphasize efficiency and economic measures of success. A prominent example of this accountability movement is the increase in popularity of performance funding policies. One of the most recent states to implement…
Descriptors: Educational Finance, Performance, Higher Education, Funding Formulas
Browne, Daniel – Wallace Foundation, 2015
With many cities showing an interest in afterschool system building and research providing a growing body of useful information, this Wallace Perspective offers a digest of the latest thinking on how to build and sustain an afterschool system, and the challenges and opportunities that lie ahead for this promising work. The report (a follow-up to a…
Descriptors: After School Programs, Program Development, Sustainability, Leadership Responsibility
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Posselt, Julie Renee; Reyes, Kimberly A.; Slay, Kelly E.; Kamimura, Aurora; Porter, Kamaria B. – Teachers College Record, 2017
Background/Context: Education scholars have examined how state policy and informal practice can widen or reproduce racial and gender inequalities in graduate education. Just one empirical study, which focused on psychology programs, has identified organizational practice that supports recruitment and retention of graduate students of color. Focus…
Descriptors: Graduate Students, African American Students, Equal Education, Access to Education
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Craft, Christy Moran; Augustine-Shaw, Donna; Fairbanks, Amanda; Adams-Wright, Gayla – NACADA Journal, 2016
Because almost one half of students enrolled in American doctoral programs do not complete their degrees, the factors that lead to doctoral student attrition need to be identified. Research suggests that the nature of the advisor-advisee relationship contributes to the persistence levels of doctoral students. In this study, we conducted a content…
Descriptors: Doctoral Programs, Graduate Students, Faculty Advisers, Academic Advising
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McVey, Michael – Journal of Digital Learning in Teacher Education, 2016
This descriptive study examines online assessment strategies employed by preservice teacher candidates when creating thematic learning experiences in online teaching environments. Using the learning management system Moodle as part of their innovative training, this review of a sample of 395 candidate-created instructional units across all grades…
Descriptors: Preservice Teachers, Student Teacher Attitudes, Evaluation Methods, Web Based Instruction
Spielberger, Julie; Axelrod, Jennifer; Dasgupta, Denali; Cerven, Christine; Spain, Angeline; Kohm, Amelia; Mader, Nicholas – Chapin Hall at the University of Chicago, 2016
To support the effectiveness of afterschool programs in fostering skills youth need to succeed in school and life, a growing number of cities have invested in afterschool systems to coordinate disparate programs and funding streams. A primary function of most afterschool systems is to develop and maintain a data system to collect, analyze, and…
Descriptors: After School Programs, Youth Programs, Skill Development, Data Collection
Spielberger, Julie; Axelrod, Jennifer; Dasgupta, Denali; Cerven, Christine; Spain, Angeline; Kohm, Amelia; Mader, Nicholas – Chapin Hall at the University of Chicago, 2016
To support the effectiveness of afterschool programs in fostering skills youth need to succeed in school and life, a growing number of cities have invested in afterschool systems to coordinate disparate programs and funding streams. A primary function of most afterschool systems is to develop and maintain a data system to collect, analyze, and…
Descriptors: After School Programs, Youth Programs, Skill Development, Data Collection
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Teplovs, Chris – Journal of Learning Analytics, 2015
This commentary reflects on the contributions to learning analytics and theory by a paper that describes how multiple theoretical frameworks were woven together to inform the creation of a new, automated discourse analysis tool. The commentary highlights the contributions of the original paper, provides some alternative approaches, and touches on…
Descriptors: Data Analysis, Data Collection, Theory Practice Relationship, Instructional Design
Wolf, Mary Ann; Jones, Rachel; Hall, Sara; Wise, Bob – Alliance for Excellent Education, 2014
The field of learning analytics is being discussed in many circles as an emerging concept in education. In many districts and states, the core philosophy behind learning analytics is not entirely new; for more than a decade, discussions of data-driven decision making and the use of data to drive instruction have been common. Still, the U.S.…
Descriptors: Educational Research, Data Collection, Data Analysis, Capacity Building
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Wright, Mary C.; McKay, Timothy; Hershock, Chad; Miller, Kate; Tritz, Jared – Change: The Magazine of Higher Learning, 2014
Learning Analytics (LA) has been identified as one of the top technology trends in higher education today (Johnson et al., 2013). LA is based on the idea that datasets generated through normal administrative, teaching, or learning activities--such as registrar data or interactions with learning management systems--can be analyzed to enhance…
Descriptors: STEM Education, Introductory Courses, Physics, Technology Uses in Education
Caron, B.; Kendall, R.; Wilson, G.; Hash. M. – Early Learning Challenge Technical Assistance, 2017
The Early Learning Challenge (ELC) program awarded more than $1 billion in four-year grants to 20 States to implement comprehensive and cohesive high-quality early learning systems that support young children with high needs and their families. A key lever in making these improvements was the enhancement of States' Quality Rating and Improvement…
Descriptors: Early Childhood Education, Young Children, Student Needs, Quality Control
Leimer, Christina – Association for Institutional Research (NJ1), 2011
As Institutional Research (IR) moves beyond its fiftieth anniversary, a new profession, called Institutional Effectiveness (IE), is emerging. In some respects, IR and IE are similar. IE, though, appears to be taking the leadership role. What are the structure, purpose, and responsibilities of IE offices? What are the implications for the IR field…
Descriptors: Institutional Research, Institutional Evaluation, Accreditation (Institutions), School Effectiveness
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