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Showing 1 to 15 of 19 results Save | Export
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Jenay Robert; Kathe Pelletier; Betsy Tippens Reinitz – Strategic Enrollment Management Quarterly, 2024
In today's digital world, higher education institutions collect and use more data than ever. However, institutional silos create barriers for stakeholders who need data for daily operations and strategy. This article presents a vision of a unified, collaborative future for data governance and actionable steps stakeholders can take.
Descriptors: Data Analysis, Data Collection, Information Management, Governance
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Erin L. Castro; Caisa E. Royer; Amy E. Lerman; Mary R. Gould – Journal of Diversity in Higher Education, 2024
This research considers Pell grant restoration for incarcerated people for the field of higher education in prison. Using the original data, we outline the limits of Pell funding in the prison context by surfacing persistent funding challenges that the Pell grant alone cannot address and may exacerbate. By providing the necessary investments to…
Descriptors: Federal Aid, Grants, Rehabilitation, Institutionalized Persons
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De Silva, Liyanachchi Mahesha Harshani; Chounta, Irene-Angelica; Rodríguez-Triana, María Jesús; Roa, Eric Roldan; Gramberg, Anna; Valk, Aune – Journal of Learning Analytics, 2022
Although the number of students in higher education institutions (HEIs) has increased over the past two decades, it is far from assured that all students will gain an academic degree. To that end, institutional analytics (IA) can offer insights to support strategic planning with the aim of reducing dropout and therefore of minimizing its negative…
Descriptors: College Students, Dropouts, Dropout Prevention, Data Analysis
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Tirol-Carmody, Kristina; Kardash, Nadia; Chang, Karin; Ecker-Lyster, Meghan – Community College Journal of Research and Practice, 2020
This paper discusses the key findings from a qualitative case study examining the implementation of an activity-based cost management model (ABC model) at a large community college. In a climate of fiscal uncertainty, the college adopted this model with the goal of improving budgetary decision-making. The paper examines faculty and administrators'…
Descriptors: Community Colleges, Educational Finance, Budgeting, Barriers
Maldonado, Monica; Mugglestone, Konrad; Roberson, Amanda Janice – Institute for Higher Education Policy, 2021
Data-informed decision-making has always been -- and always will be -- a smart approach to policy, including at institutions of higher education. Just over one year since the COVID-19 pandemic radically and abruptly shifted every aspect of higher education, states and institutions are tackling the same student success goals as before, but with…
Descriptors: Data Analysis, Learning Analytics, Decision Making, Higher Education
National Forum on Education Statistics, 2018
The purpose of this document is to recommend practices that will help education agencies collect, report, and use attendance data to improve student and school outcomes. This publication substantively revises and expands the information included in "Every School Day Counts: The Forum Guide to Collecting and Using Attendance Data,"…
Descriptors: Attendance, Data Collection, Elementary Secondary Education, Correlation
Reform Support Network, 2013
This report summarizes the outcomes of a discussion among a group of State and district officials, teachers and principals, and external experts in educator evaluations and strategic communications who gathered in the District of Columbia to examine early results from evaluation systems in two States.
Descriptors: Teacher Evaluation, Accuracy, Teacher Effectiveness, Data Analysis
Vinh, Megan; Lucas, Anne; Taylor, Cornelia; Kelley, Grace; Kasprzak, Christina – Center for IDEA Early Childhood Data Systems (DaSy), 2014
This roadmap provides a description of the activities involved in the development of the State Systemic Improvement Plan (SSIP) (SPP/APR Indicators C11 and B17) due to the Office of Special Education Programs (OSEP) on April 1, 2015. The roadmap is intended to support states with completing Phase I of the SSIP process. This document provides…
Descriptors: Educational Improvement, Special Education, Change Strategies, Teamwork
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
Shah, Rebecca – Data Quality Campaign, 2012
States are working to ensure that every citizen is prepared for the knowledge economy. Achieving this goal requires unprecedented alignment of policies and practices across the early childhood; elementary, secondary, and postsecondary education; and workforce sectors (P-20W). Consequently, many policy questions require data from multiple agencies…
Descriptors: Stakeholders, Governance, Internet, Role
Klostermann, Brenda K.; White, Bradford R.; Lichtenberger, Eric J.; Holt, Janet K. – Illinois Education Research Council, 2014
The purpose of this study is to examine how Illinois school districts are utilizing the Illinois 5Essentials Survey results, particularly for school improvement, to determine challenges to successful implementation, and to make recommendations for improvements to the 5E Survey and implementation process for statewide use. We also summarize…
Descriptors: School Districts, Surveys, Educational Improvement, Program Implementation
Howard, Eboni C.; Rankin, Victoria E.; Fishman, Mike; Hawkinson, Laura E.; McGroder, Sharon M.; Helsel, Fiona K.; Farber, Jonathan; Tuchman, Ariana; Wille, Jessica – Administration for Children & Families, 2014
The purpose of this study was to describe the coaching that occurred at Head Start (HS) grantees as a result of the Early Learning Mentor Coach (ELMC) initiative. This provided a unique opportunity to describe the different dimensions of coaching within HS settings from the perspective of multiple stakeholders--administrators, coaches, and staff.…
Descriptors: Early Intervention, At Risk Students, Mentors, Coaching (Performance)
Young, Charles Keith – ProQuest LLC, 2010
Owing to the significant structural changes that have occurred in the global marketplace over the past 2 decades, a corresponding increase of public-private partnerships have been established among the business sector, local governments, and public community colleges. This qualitative project sought to identify and substantiate key elements that…
Descriptors: Private Sector, Public Sector, Program Effectiveness, Barriers
Montgomery, Corey Allen – ProQuest LLC, 2012
The interpretive nature of this dissertation study was grounded in the field of qualitative research. The purpose of the study was to qualitatively define successful inclusion instruction and/or programming. The units of analysis were three schools at each academic level within the Broward County School District which made Adequate Yearly Progress…
Descriptors: Qualitative Research, Inclusion, Mainstreaming, Structured Interviews
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