NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 29 results Save | Export
Emily J. Barnes – ProQuest LLC, 2024
This quantitative study investigates the predictive power of machine learning (ML) models on degree completion among adult learners in higher education, emphasizing the enhancement of data-driven decision-making (DDDM). By analyzing three ML models - Random Forest, Gradient-Boosting machine (GBM), and CART Decision Tree - within a not-for-profit,…
Descriptors: Artificial Intelligence, Higher Education, Models, Prediction
Peer reviewed Peer reviewed
Direct linkDirect link
Zachary Richards; Angela M. Kelly – Community College Review, 2025
Objective/Research Question: Community college graduation rates are typically quite low, and developmental mathematics enrollment and coursetaking patterns may constrain academic outcomes. To identify ways in which community college graduation rates may be improved, decision trees were utilized to examine the STEM coursetaking patterns of N =…
Descriptors: STEM Education, College Enrollment, Decision Making, Educational Attainment
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
Vanessa J. Ruggieri – ProQuest LLC, 2023
Degree completion rates have recently dominated national debates regarding the value of higher education (Gagliardi et al., 2018). Inherent in this debate is the issue of how to utilize institutional data to evaluate student performance (Hubbard et al., 2020). This process, known as data-driven decision-making (DDDM), has been studied at four-year…
Descriptors: Data Use, Decision Making, Program Improvement, Community Colleges
Wyoming Community College Commission, 2019
The Wyoming Community College Commission's internal strategic plan for the four-year period spanning 2021 through 2024 is tied directly to the statutorily required Priorities established by the Commission. Specific agency sections for mission statement, responsibilities and accomplishments will be relayed in the agency's annual report. For the…
Descriptors: Community Colleges, Strategic Planning, Educational Attainment, Program Development
Peer reviewed Peer reviewed
Direct linkDirect link
Fitzgerald, Brian K.; Barkanic, Steve; Cárdenas-Navia, Isabel; Chen, Janet; Elzey, Karen; Hughes, Debbie; Troyan, Danielle – Industry and Higher Education, 2016
BHEF has achieved particular success in operationalizing its National Higher Education and Workforce Initiative (HEWI) through regional initiatives in data science and analytics (DSA). Leveraging its membership of corporate CEOs, university presidents and government agency leaders, BHEF seeded new undergraduate pathways in DSA at Case Western…
Descriptors: Higher Education, Case Studies, Labor Force, Program Implementation
Peer reviewed Peer reviewed
Direct linkDirect link
Baum, Sandy; Cunningham, Alisa; Tanenbaum, Courtney – Change: The Magazine of Higher Learning, 2015
The level of educational attainment in the United States is a central focus of public policy. The Obama administration, some states, large national foundations, and other organizations have set near-term goals to increase the number of Americans with college degrees. Achieving these goals is likely to involve a combination of increasing…
Descriptors: Educational Attainment, Higher Education, Educational Policy, Goal Orientation
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
Baldwin, Chris; Borcoman, Gabriela; Chappell-Long, Cheryl; Coperthwaite, Corby A.; Glenn, Darrell; Hutchinson, Tony; Hughes, John; Jenkins, Rick; Jovanovich, Donna; Keller, Jonathan; Klimczak, Benjamin; Schneider, Bill; Stewart, Carmen; Stuart, Debra; Yeager, Michael – Jobs for the Future, 2012
Enrollment is rising across the nation's community colleges, but completion rates remain untenably low. Reformers are focusing on the importance of using comprehensive, high-quality data on student progress and completion to bring about change. A core tenet of Achieving the Dream: Community Colleges Count has been to embed a culture of…
Descriptors: Community Colleges, Enrollment, Educational Attainment, Educational Policy
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Corcoran, Lisa; Steinley, Katrina – National Center for Education Statistics, 2017
This report presents findings from the Early Childhood Program Participation Survey of the National Household Education Surveys Program of 2016 (NHES:2016). The Early Childhood Program Participation Survey collected data on children's participation in relative care, nonrelative care, and center-based care arrangements. It also collected…
Descriptors: Early Childhood Education, National Surveys, Family (Sociological Unit), Participation
Gallagher, Megan – Urban Institute, 2015
Schools and youth-serving organizations often struggle to better meet the needs of low-income students and to connect them to resources that can stabilize their lives and strengthen their academic competencies. Assisted-housing providers, including housing authorities, are in a unique position to support educators, low-income students, and their…
Descriptors: Public Housing, Urban Schools, Partnerships in Education, Low Income Groups
Foley, Ellen; Mishook, Jacob; Thompson, Joanne; Kubiak, Michael; Supovitz, Jonathan; Rhude-Faust, Mary Kaye – Annenberg Institute for School Reform at Brown University (NJ1), 2008
"Leading indicators"--indicators that provide early signals of progress toward academic achievement--enable education leaders, especially at the central office level in a school district, to make more strategic and less reactive decisions about services and supports to improve student learning. These indicators are a way of viewing and…
Descriptors: Educational Indicators, Identification, School Districts, Central Office Administrators
OECD Publishing (NJ1), 2012
This report focuses on the development of reading proficiency during the transition from adolescence to early adulthood. The span of time between the ages of 15 and 24 is a critical period of development for young people. Once compulsory education is completed, individual decisions about post-secondary education, employment and other life choices…
Descriptors: Human Capital, Compulsory Education, Educational Attainment, Foreign Countries
Washington Higher Education Coordinating Board, 2011
The U.S. Department of Education recently released a "College Completion Tool Kit" intended to support the higher education attainment goals set by the Obama administration. These goals are consistent with the state's Strategic Master Plan for Higher Education. The tool kit lays out strategies for achieving higher levels of attainment…
Descriptors: Higher Education, Educational Attainment, Graduation, Educational Finance
ACT, Inc., 2014
ACT has been measuring college readiness trends for several years. "The Condition of College & Career Readiness" is ACT's annual report on the progress of the graduating class relative to college readiness. This year, 54.3% of the graduating class took the ACT® college readiness assessment. This report is designed to help inform the…
Descriptors: Academic Achievement, Academic Aspiration, Academic Persistence, Academic Standards
Previous Page | Next Page »
Pages: 1  |  2