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Soltys, Michael; Dang, Hung D.; Reyes Reilly, Ginger; Soltys, Katharine – Strategic Enrollment Management Quarterly, 2021
A Machine Learning framework for predicting enrollment is proposed. The framework consists of Amazon Web Services SageMaker together with standard Python tools for data analytics, including Pandas, NumPy, MatPlotLib, and ScikitLearn. The tools are deployed with Jupyter Notebooks running on AWS SageMaker. Based on three years of enrollment history,…
Descriptors: Enrollment Management, Strategic Planning, Prediction, Computer Software
Ahmed Farouk Kineber; Nehal Elshaboury; Sherif Mostafa; Ahmed Abdiaziz Alasow; Mehrdad Arashpour – International Journal of Educational Management, 2024
Purpose: The engineering courses offered in Somali universities attract many students, ranging between 300 and 500 every semester, making the management and delivery of the course challenging. The increasing popularity of massive open online courses (MOOCs) has led to rapid growth in enrollment, posing difficulties in effectively managing and…
Descriptors: MOOCs, Foreign Countries, Universities, Learning Experience
Iatrellis, Omiros; Savvas, Ilias ?.; Fitsilis, Panos; Gerogiannis, Vassilis C. – Education and Information Technologies, 2021
Learning analytics have proved promising capabilities and opportunities to many aspects of academic research and higher education studies. Data-driven insights can significantly contribute to provide solutions for curbing costs and improving education quality. This paper adopts a two-phase machine learning approach, which utilizes both…
Descriptors: Prediction, Outcomes of Education, Higher Education, Data Analysis
Marksbury, Nancy – Forum on Public Policy Online, 2017
Higher education institutions are charged with creating one million more STEM professionals over the next decade, a 34% increase in undergraduate STEM degrees annually (PCAST 2012). Examining why college STEM courses manifest high attrition rates, interdependencies emerge that begin in early childhood education. Those of us in higher education…
Descriptors: STEM Education, Rural Areas, Elementary School Teachers, Faculty Development
Head, Joe F.; Blake, Susan; Hughes, Thomas M. – College and University, 2009
Good enrollment managers know that keeping current enrollment must be Job Number One and that maintaining enrollment must be the concern of all campus constituencies. However, a large number of students are "lost" during registration due to closed classes. Lost enrollments are a largely invisible phenomenon that represents frantic and…
Descriptors: Enrollment Management, College Administration, Classes (Groups of Students), Educational Demand
LaManque, Andrew – Journal of Applied Research in the Community College, 2009
This article presents a case study of a two-year pilot to increase pre-collegiate math course success rates at a large community college. The EnableMath pilot involved the use of computerized software that allowed students to practice math problems in a lab during class time. Additional components of the program included the administration of the…
Descriptors: Community Colleges, Algebra, Enrollment Trends, College Mathematics
Miller, Charles; Hooper, Simon; Rose, Susan – TechTrends: Linking Research and Practice to Improve Learning, 2008
Between 1998 and 2002, enrollment in American Sign Language (ASL) curricula at the postsecondary level has increased 433% nationally, representing the largest enrollment percentage gain of all world languages. This unprecedented demand for ASL linguistic study has created a wide range of instructional challenges, the most pervasive of which…
Descriptors: American Sign Language, Curriculum Development, Postsecondary Education, Enrollment Trends

White, Howard D.; Nolt, Cynthia – Journal of Education for Library and Information Science, 1987
Describes the use of ALSCAL, a computer program for multidimensional scaling, to map enrollment in 49 electives at Drexel University's College of Information Studies during two time periods. The results for this department are presented, and the explanatory power of this evaluation technique for any curriculum is discussed. (6 references) (CLB)
Descriptors: Computer Software, Correlation, Curriculum Evaluation, Elective Courses
Hwang, Lee – American School & University, 2006
At some point, most education administrators must make difficult decisions because of fluctuating student enrollment. In the past, they might have spent months collecting student and facility data, hand-counting student population in certain areas, and driving throughout their communities to find available and affordable land for new school sites.…
Descriptors: School Buildings, Enrollment Trends, Access to Information, Educational Technology

Green, Eddie L., Ed. – Business Education Forum, 1986
This theme issue on classroom management in business education includes 17 chapters on such topics as combating teacher burnout, curriculum improvement, declining enrollments in business education, human relations in the classroom, team cohesiveness and the business department, communicating the essentials for the first week of class, and…
Descriptors: Business Education, Classroom Techniques, Computer Software, Cooperative Education