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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
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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
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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
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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
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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
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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
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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
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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
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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
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Luciano, Ruth G.; Olipas, Cris Norman P.; Dela Cruz, Arnold P. – Online Submission, 2022
Student dropout is one of the challenges commonly encountered by learning institutions. It has been a problem and several studies have been conducted to know the reasons for dropping out to craft solutions appropriate and contextualized to different types of learning institutions. This study seeks to determine the dropout rates of the Bachelor of…
Descriptors: Foreign Countries, Information Technology, College Students, Dropout Rate
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Deom, Gina; Fiorini, Stefano; McConahay, Mark; Shepard, Linda; Teague, Julie – College and University, 2021
The spread of COVID-19 has caused major disruptions in the higher education space, and colleges and universities faced difficult decisions on how to reopen their campuses. At Indiana University Bloomington, student exposure to other students was reduced by leveraging the existing academic calendar and strategically managing course enrollment…
Descriptors: Data Use, Decision Making, Network Analysis, COVID-19
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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)
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Potter, Joshua D. – Change: The Magazine of Higher Learning, 2019
Curriculum maps have long served as useful guides in the careful design of a curriculum's pedagogical aims and where they are to be achieved, however such a map cannot indicate how students are actually moving through the curriculum. This article discusses traffic models. When employed in the study of courses drawn from multiple departments,…
Descriptors: College Curriculum, College Students, Data Use, Course Selection (Students)
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Knipe, Sally; Bottrell, Christine – Educational Research Quarterly, 2023
The technological capacity that now exists to gather and store large amounts of data has improved access to information related to the academic performance, demographic profile and welfare needs of young people in a school. Improvements in data management techniques, statistical data analysis and software packages have made retrieving and…
Descriptors: Measurement Techniques, Indexes, Data Analysis, Enrollment
Goldhaber, Dan; Holden, Kristian L. – Phi Delta Kappan, 2021
Understanding the early teacher pipeline, how many and what types of individuals are pursuing a teaching credential, is critically important. Unfortunately, as Dan Goldhaber and Kris Holden explain, the two national data collections that can be used to explore these areas provide incomplete and sometimes contrasting pictures about the number of…
Descriptors: Career Choice, Teaching (Occupation), Data Collection, Teacher Education Programs
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