Open Access. Powered by Scholars. Published by Universities.®
Other Statistics and Probability Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Analysis (2)
- Education (2)
- Mathematics (2)
- Other Mathematics (2)
- Statistical Models (2)
-
- Applied Mathematics (1)
- Categorical Data Analysis (1)
- Curriculum and Instruction (1)
- Data Science (1)
- Disability and Equity in Education (1)
- Discrete Mathematics and Combinatorics (1)
- Educational Administration and Supervision (1)
- Educational Assessment, Evaluation, and Research (1)
- Educational Leadership (1)
- Educational Methods (1)
- Elementary Education (1)
- Elementary Education and Teaching (1)
- Elementary and Middle and Secondary Education Administration (1)
- Engineering (1)
- Higher Education (1)
- Junior High, Intermediate, Middle School Education and Teaching (1)
- Logic and Foundations (1)
- Longitudinal Data Analysis and Time Series (1)
- Multivariate Analysis (1)
- Operations Research, Systems Engineering and Industrial Engineering (1)
- Other Applied Mathematics (1)
- Institution
- Publication
- Publication Type
Articles 1 - 3 of 3
Full-Text Articles in Other Statistics and Probability
A New Approach To Generate Combinatorial Patterns In Logical Analysis Of Data And Its Application To Predict College Retention, Salihah Ahmed E. Jaafari
A New Approach To Generate Combinatorial Patterns In Logical Analysis Of Data And Its Application To Predict College Retention, Salihah Ahmed E. Jaafari
Theses and Dissertations
Student retention and degree completion remain central challenges for higher-education institutions, with significant implications for student success, institutional effectiveness, and public accountability. While advances in predictive analytics have enabled earlier identification of students at risk of withdrawal, many commonly used machine learning approaches suffer from limited interpretability, constraining their practical usefulness for advising, intervention, and policy decision making. This dissertation addresses the problem of predicting student persistence by developing and evaluating optimization based, interpretable classification models within the Logical Analysis of Data (LAD) framework. Building on existing LAD formulations, this research introduces two novel pattern generation models, the Best Term …
Building A Better Risk Prevention Model, Steven Hornyak
Building A Better Risk Prevention Model, Steven Hornyak
National Youth Advocacy & Resilience Conference
This presentation chronicles the work of Houston County Schools in developing a risk prevention model built on more than ten years of longitudinal student data. In its second year of implementation, Houston At-Risk Profiles (HARP), has proven effective in identifying those students most in need of support and linking them to interventions and supports that lead to improved outcomes and significantly reduces the risk of failure.
Investigating The Student Enrollment Decision At Wku, Alec Brown
Investigating The Student Enrollment Decision At Wku, Alec Brown
Mahurin Honors College Capstone Experience/Thesis Projects
The purpose of this research is to investigate the relationships between the enrollment decision of first-time, first-year students admitted to Western Kentucky University and the amount of financial aid awarded, as well as demographic information. The Division of Enrollment Management provided a SAS dataset containing various information about all WKU students admitted in 2013, 2014, and 2015. Additionally, information about the 2016 class of admitted students was provided. The data has been analyzed in SAS Enterprise Miner. We performed analysis using decision tree modeling and logistic regression modeling. Results of these two procedures indicated the importance of credit hours earned …