Publication Date
In 2025 | 0 |
Since 2024 | 4 |
Since 2021 (last 5 years) | 21 |
Since 2016 (last 10 years) | 54 |
Since 2006 (last 20 years) | 126 |
Descriptor
Data Analysis | 208 |
Enrollment | 208 |
Higher Education | 74 |
Data Collection | 49 |
Student Characteristics | 37 |
Foreign Countries | 36 |
Comparative Analysis | 35 |
Academic Achievement | 32 |
Educational Finance | 30 |
College Students | 28 |
Enrollment Trends | 25 |
More ▼ |
Source
Author
Feng, Mingyu, Ed. | 2 |
Gibson, Patrick | 2 |
Halstead, Kent | 2 |
Harvey, Brian | 2 |
Lee, Arthur M. | 2 |
Robles, Ashley | 2 |
Siegel, Peter | 2 |
Thompson, Jeremy | 2 |
Abram, Robert | 1 |
Acquah, Edward H. K. | 1 |
Adeyemi, Kola | 1 |
More ▼ |
Publication Type
Education Level
Location
Australia | 12 |
Florida | 11 |
California | 9 |
Texas | 9 |
United States | 6 |
Washington | 6 |
New York | 5 |
Maryland | 4 |
Africa | 3 |
Asia | 3 |
Canada | 3 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
Baccalaureate and Beyond… | 6 |
Florida Comprehensive… | 4 |
ACT Assessment | 3 |
SAT (College Admission Test) | 2 |
Schools and Staffing Survey… | 2 |
National Assessment Program… | 1 |
National Assessment of… | 1 |
What Works Clearinghouse Rating
Nathan Lieng; Jason L. Morín; Que-Lam Huynh; Janet S. Oh – Association for Institutional Research, 2024
Higher education leaders have repeatedly called for improved diversity, equity, and inclusion efforts, but many institutions continue to fall short. Data can play an integral role in this work; key among them are data on student demographics, including race/ethnicity. Meeting diversity, equity, and inclusion goals requires a thorough and nuanced…
Descriptors: Data Collection, Data Analysis, Data Use, Minority Group Students
Heather Allmond Barker; Hollylynne S. Lee; Shaun Kellogg; Robin Anderson – Online Learning, 2024
Identifying motivation for enrollment in MOOCs has been an important way to predict participant success rates. But themes for motivation have largely centered around themes for enrolling in any MOOC, and not ones specific to the course being studied. In this study, qualitatively coding discussion forums was combined with topic modeling to identify…
Descriptors: MOOCs, Motivation, Enrollment, Professional Development
Mississippi Institutions of Higher Learning, 2023
The Fall 2023 Enrollment Fact Book details current fall enrollment data including on- and off-campus enrollment by ethnicity, gender, residency, degree program level, and program category.
Descriptors: Data, Enrollment, Off Campus Facilities, On Campus Students
Burns, Timothy; Sherman, Cherie – Information Systems Education Journal, 2022
This article presents the details of a business analytics minor that we created at our institution in the fall of 2019. In the two years since, our program has successfully met our enrollment goals. Out of over 50 minors offered at our institution, our business analytics minor is currently ranked fourth in enrollment. In this article we will…
Descriptors: Curriculum Development, Business Administration Education, Data Analysis, Course Descriptions
Anna Branford; Luella C. Leon – Journal of Teaching and Learning for Graduate Employability, 2024
The advent of Career Enrolment Data (CED) in Higher Education is an important development for graduate employability practitioners and other stakeholders seeking to understand, analyse and enhance students' career readiness. CED, collected annually from all students in participating universities, requires students to self-report on their own…
Descriptors: Career Readiness, Employment Potential, Neoliberalism, College Graduates
Jiang, Weijie; Pardos, Zachary A. – International Educational Data Mining Society, 2020
Data mining of course enrollment and course description records has soared as institutions of higher education begin tapping into the value of these data for academic and internal research purposes. This has led to a more than doubling of papers on course prediction tasks every year. The papers often center around a single prediction task and…
Descriptors: Course Descriptions, Models, Prediction, Course Selection (Students)
Romano, Richard M.; D'Amico, Mark M. – Association for Institutional Research, 2021
A commonly used metric for measuring college costs, drawn from data in the Integrated Postsecondary Education Data System (IPEDS), is expenditure per full-time equivalent (FTE) student. This article discusses an error in this per FTE calculation when using IPEDS data, especially with regard to community colleges. The problem is that expenditures…
Descriptors: Noncredit Courses, Enrollment, Community Colleges, Institutional Characteristics
von Zastrow, Claus; Perez, Zeke, Jr. – Education Commission of the States, 2019
This 50-State Comparison assesses the capacity of all 50 states and the District of Columbia to aggregate and report on arts education data already housed in statewide education data systems. This interactive resource focuses on key arts education questions identified in "Using State Data Systems to Report Information on Arts Education"…
Descriptors: Art Education, Data Collection, Data Analysis, School Catalogs
Davaasambuu, Sarantsetseg; Cinelli, Jessica; D'Alessandro, Mark; Hamid, Phillip; Audant, Babette – Community College Journal of Research and Practice, 2019
Noncredit enrollment at community colleges has grown significantly over the past two decades. However, unlike credit bearing programs, noncredit programs are seldomly empirically examined and evaluated, particularly those that are not grant funded. The lack of data results in a gap in knowledge about program effectiveness, as well as the students…
Descriptors: Noncredit Courses, Community Colleges, Data Collection, Educational Research
He, Yang; Alexander, Joe F.; Nikolov, Atanas; Chen, Rui Aray – Marketing Education Review, 2023
This research explores the potential causes for student's lack of interest in enrollment in marketing analytics courses. We reveal that a misconception of marketing as a "soft skills" major of study persists, which leads to biased assessment of the relevance and applicability of curriculum in regards to future career. As a result,…
Descriptors: Marketing, Business Administration Education, College Students, Misconceptions
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
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
Blankstein, Melissa; Wolff-Eisenberg, Christine – ITHAKA S+R, 2019
The Community College Academic and Student Support Ecosystems (CCASSE) project examines how academic and student support services at not-for-profit associate-degree granting colleges are organized, funded, and staffed, and how these services can most effectively advance student success. In spring 2019, Ithaka S+R surveyed 249 chief academic and…
Descriptors: Community Colleges, Two Year College Students, Academic Support Services, Student Personnel Services
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)
Hillman, Nick – Institute for College Access & Success, 2022
The Pell Grant is targeted to students with the greatest financial need, and many policymakers find the Pell Grant a useful policy lever for promoting access and success for students from lower- and moderate-income backgrounds. There are several examples where policymakers use Pell eligibility to allocate resources and hold colleges accountable…
Descriptors: Federal Aid, Grants, Access to Education, Enrollment