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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
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
Broughman, Stephen; Kincel, Brian; Peterson, Jennifer – National Center for Education Statistics, 2022
The Private School Universe Survey (PSS) is conducted by the National Center for Education Statistics (NCES) on behalf of the U.S. Department of Education to collect basic information on American private elementary and secondary schools. PSS is currently designed to generate biennial data on the total number of private schools, teachers, and…
Descriptors: School Surveys, Private Schools, Elementary Schools, Secondary Schools
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
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
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
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
Attendance Works, 2024
This brief is our fourth annual review of how states are and could make a difference in school attendance with new policies and practices. Reversing today's chronic absenteeism requires state leaders to make reducing chronic absence a priority. In our work with states, we see how state leadership, especially from governors and state education…
Descriptors: Attendance, State Policy, Educational Policy, Data Collection
Kilgore, Wendy – American Association of Collegiate Registrars and Admissions Officers (AACRAO), 2022
The November 2022 60-Second Survey invited AACRAO members to share how, if at all, their institution uses degree-audit and/or education-planning technology to support students. There were 653 responses from 11 countries. The majority of responses were from the United States (n = 621) and Canada (n = 23). Sixty-three percent of respondents serve…
Descriptors: Foreign Countries, Undergraduate Students, Graduate Students, Educational Technology
Md Akib Zabed Khan; Agoritsa Polyzou – Journal of Educational Data Mining, 2024
In higher education, academic advising is crucial to students' decision-making. Data-driven models can benefit students in making informed decisions by providing insightful recommendations for completing their degrees. To suggest courses for the upcoming semester, various course recommendation models have been proposed in the literature using…
Descriptors: Academic Advising, Courses, Data Use, Artificial Intelligence
Ford, Karly S.; Rosinger, Kelly O.; Choi, Junghee; Pulido, Gabriel – Educational Researcher, 2021
Many postsecondary datasets collect gender data in ways that are not inclusive of all students. Many trans* students, those who identify as trans women, trans men, genderqueer, among other gender identities, are excluded when surveys collect gender data using only two categories. The American Bar Association recently became the first sector of…
Descriptors: Sexual Identity, LGBTQ People, Data Collection, College Students
Educational Data Mining: An Application of a Predictive Model of Online Student Enrollment Decisions
Cody Gene Singer – ProQuest LLC, 2023
College and university enrollment has decreased nationwide every year for more than a decade as educational consumers increasingly question the value of higher education and discover alternatives to the traditional university system. Enrollment professionals seeking growth are tasked to develop and implement innovative solutions to address…
Descriptors: Data Collection, Predictor Variables, Electronic Learning, Enrollment
Ford, Karly S.; Rosinger, Kelly; Choi, Junghee – Policy Futures in Education, 2022
Policy researchers have difficulty understanding stratification in enrollment in US higher education when race and ethnicity data are plagued by missing values. Students who decline to ethnoracially self-identify become part of a "race unknown" reporting category. In undergraduate enrollment, "race unknown" students are not…
Descriptors: Admission (School), Competitive Selection, Race, Ethnicity