NotesFAQContact Us
Collection
Advanced
Search Tips
What Works Clearinghouse Rating
Showing 1 to 15 of 128 results Save | Export
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
Peer reviewed Peer reviewed
Direct linkDirect link
Hongyu Liu; Young Chun Ko – International Journal of Web-Based Learning and Teaching Technologies, 2024
With the development of the information age, the quality of physical education teaching in universities has become an important goal of teaching reform. Improving the quality of physical education and significantly improving students' physical fitness is one of the development goals of higher education. Therefore, this article proposes an…
Descriptors: Physical Education, Higher Education, Educational Quality, Educational Improvement
Peer reviewed Peer reviewed
Direct linkDirect link
Ansell, Charles – Change: The Magazine of Higher Learning, 2021
Complete College America (CCA) is partnered with the National Student Clearinghouse in promoting the latter's Postsecondary Data Partnership (PDP), a data and reporting tool for tracking student success metrics. The PDP is offered at nominal cost, built for democratized data access, and encompasses transfer data native to Clearinghouse products,…
Descriptors: Data Collection, Data Use, Decision Making, Higher Education
Peer reviewed Peer reviewed
Direct linkDirect link
Bousnguar, Hassan; Najdi, Lotfi; Battou, Amal – Education and Information Technologies, 2022
Forecasting the enrollments of new students in bachelor's systems became an urgent desire in the majority of higher education institutions. It represents an important stage in the process of making strategic decisions for new course's accreditation and optimization of resources. To gain a deep view of the educational forecasting context, the most…
Descriptors: Higher Education, Undergraduate Students, Enrollment Management, Strategic Planning
Peer reviewed Peer reviewed
Direct linkDirect link
Klein, Carrie; Lester, Jaime; Rangwala, Huzefa; Johri, Aditya – Review of Higher Education, 2019
An instrumental case study was conducted at a large, public research university to understand the organizational barriers, incentives, and opportunities related to adoption of learning analytics tools by faculty members and professional advising staff. Data was culled from focus groups with six faculty and twenty-one advisors and from interview…
Descriptors: Higher Education, Decision Making, Leadership, Academic Advising
Peer reviewed Peer reviewed
Direct linkDirect link
Skhvediani, Angi; Sosnovskikh, Sergey; Rudskaia, Irina; Kudryavtseva, Tatiana – Journal of Education for Business, 2022
The development of digital technologies has created a market need for specialists working with the big data that is necessary for making management decisions. This study aims to identify the skills structure of the data analyst profession (DAP) in Russia. The authors used a program code written in Python to examine relevant vacancies extracted…
Descriptors: Data Analysis, Employment Qualifications, Higher Education, Curriculum Development
Peer reviewed Peer reviewed
Direct linkDirect link
Hakimi, Laura; Eynon, Rebecca; Murphy, Victoria A. – Review of Educational Research, 2021
This article presents the findings of a systematic qualitative analysis of research in the ethics of digital trace data use in learning and education. From the resulting analysis of 77 peer-reviewed studies, we (1) map the characteristics of research by study type, academic community, institutional setting, and national context; (2) identify the…
Descriptors: Ethics, Data Use, Data Collection, Learning Analytics
Dunlap, Jill; Palmer, Iris; Wesley, Alexa – New America, 2021
The use of student data to inform decision-making and communication is still evolving in higher education. Often missing from campus conversations about use of student data are student voices about their preferences and needs. NASPA and New America engaged in a joint research effort to better understand student perceptions of data use within…
Descriptors: Data Use, Student Attitudes, Decision Making, Trust (Psychology)
Culver, K. C.; Harper, Jordan; Kezar, Adrianna – Pullias Center for Higher Education, 2021
A customized guide about liberatory design thinking processes that have been tested within college settings to support changes that enhance equity in policies and practices within institutions. This research is based on case studies of several institutions, including focus group interviews with the campus design teams and an analysis of artifacts.…
Descriptors: Design, Program Design, Colleges, Universities
Peer reviewed Peer reviewed
Direct linkDirect link
Torres, Vasti; Jones, Susan R.; Renn, Kristen – Journal of College Student Development, 2019
This essay advances discussion of the evolution of student development theory as foundational knowledge for student affairs practice and the role theoretical consensus plays in the application of theory to student affairs practice. We located our discussion within the context of student affairs as a low-consensus field and address 2 related…
Descriptors: Student Personnel Services, Student Development, Theory Practice Relationship, Higher Education
Arnold, Nathan; Voight, Mamie; Morales, Jessica; Dancy. Kim; Coleman, Art – Institute for Higher Education Policy, 2019
As the higher education landscape has expanded beyond issues of access and affordability to include an emphasis on student completion and employment outcomes, accreditors can play a leadership role in advancing this important change. A shift to student success that rightfully centers in part on closing equity gaps between low-income students and…
Descriptors: Educational Improvement, Accreditation (Institutions), Data Use, Academic Achievement
Peer reviewed Peer reviewed
Direct linkDirect link
Attaran, Mohsen; Stark, John; Stotler, Derek – Industry and Higher Education, 2018
Business leaders around the world are using emerging technologies to capitalize on data, to create business value and to compete effectively in a digitally driven world. They rely on data analytics to accelerate time to insight and to gain a better understanding of their customers' needs and wants. However, big data and data analytics solutions in…
Descriptors: Models, Higher Education, Data Collection, Program Implementation
Peer reviewed Peer reviewed
Direct linkDirect link
Drake, Brent M.; Walz, Aaron – New Directions for Institutional Research, 2018
Over the past 20 years, many colleges and universities have made significant progress in building data warehouses and implementing business intelligence tools to provide better access to administrative data that were previously locked away in enterprise systems. However, the data architectures from the 1990s and 2000s are aging as new technologies…
Descriptors: Higher Education, Business, Intelligence, Educational Technology
Peer reviewed Peer reviewed
Direct linkDirect link
Prinsloo, Paul – E-Learning and Digital Media, 2017
In the socio-technical imaginary of higher education, algorithmic decision-making offers huge potential, but we also cannot deny the risks and ethical concerns. In fleeing from Frankenstein's monster, there is a real possibility that we will meet Kafka on our path, and not find our way out of the maze of ethical considerations in the nexus between…
Descriptors: Mathematics, Decision Making, Higher Education, Data Collection
Peer reviewed Peer reviewed
Direct linkDirect link
Gagliardi, Jonathan; Parnell, Amelia; Carpenter-Hubin, Julie – Change: The Magazine of Higher Learning, 2018
Over the last two years, more data was created than in the entire previous history of humankind (IBM, 2016; Marr, 2016). Roughly 1.7 megabytes of new information will be created every second for every person on earth by the turn of the decade (Evans, 2011; Gantz & Reinsel, 2012; Marr, 2016). Data are created continuously and at a rate that is…
Descriptors: Data Collection, Data Analysis, Higher Education, Decision Making
Previous Page | Next Page ยป
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9