Estimating student retention and degree-completion time: decision trees and neural networks vis-à-vis regression

Herzog, Serge·2006·New Directions for Institutional Research
DOI 10.1002/ir.185

Cited by (141)

Items 101–141 of 141

  1. Modelling the Interactions Between Resources and Academic Achievement: An Artificial Neural Network Approach
    Cindy Di Han, Shane N. Phillipson, Vincent C. S. Lee · 2025 · Education Sciences
  2. Using SAS® Enterprise BI and SAS® Enterprise MinerTM to Reduce Student Attrition
    Matt Bogard, Chris James, Tuesdi Helbig, Gina Huff · 2012
  3. Analysis of Student Data for Retention Using Data Mining Techniques
    Brandon L. Sherrill, William Eberle, Douglas A. Talbert, Tennessee Technological · 2011
  4. Predictive Modeling and Explainability for Academic Dropout Risk Detection Using Machine Learning
    Rodne Quijije Castro, Katherine Chiluiza, Enrique Peláez · 2025 · International Conference on eDemocracy & eGovernment
  5. Using Latent Profile Analysis to Harness the Heterogeneity of Nonretained College Students
    Tracey Sulak, Jennifer Massey, David Thomson · 2015 · Journal of College Student Retention Research Theory & Practice
  6. Adaptable multi-phase rules over the infrequent class
    Soma Datta, Susan A. Mengel · 2018 · Soft Computing
  7. Applying a Hybrid Sampling and Boosting Approach to Predict Student Retention
    2022 · International Journal of Machine Learning and Computing
  8. Web Usage Mining: Application To An Online Educational Digital Library Service
    Bart Palmer · 2021 · Digital Commons - USU (Utah State University)
  9. Predicting Collaborative Performance at Assessment Level using Machine Learning
    Syed Arshad Raza · 2019 · International Conference on Computer Applications & Information Security (ICCAIS)
  10. Comparing Data Mining Models in Academic Analytics
    Dheeraj A. Raju, Randall E. Schumacker · 2016 · IGI Global eBooks
  11. Contribution to development of methodology for prediction and decision-making by applying artificial neural networks
    Milica Gerasimović · 2012
  12. Identifying Students at Risk and Beyond: A Machine Learning Approach
    Everaldo Aguiar · 2022 · Figshare
  13. Predicting Early Dropout in University Entry Cohorts: Temporal Inter-Cohort Validation in a Chilean Public University
    Patricia Letelier-Sanz, Manuel Pereira-Barahona, Flavio Valassina Simonetta · 2026 · Journal of College Student Retention Research Theory & Practice
  14. Assessing Data Mining Approaches for Analyzing Actuarial Student Success Rate
    Alan D. Olinsky, Phyllis A. Schumacher, John Quinn · 2011 · IGI Global eBooks
  15. Predictive Model of Postgraduate Student’s Dropout and Delay Using Machine Learning Algorithms
    2021 · International Journal of Advanced Trends in Computer Science and Engineering
  16. Mapping a Retention Index across the Student Continuum.
    Van der Merwe · 2011
  17. Applying Academic Analytics Developing a Process for Utilizing Bayesian Networks to Predict Stopping Out Among Community College Students
    Philip Arcuria · 2015
  18. Empirical Methods for Predicting Student Retention- A Summary from the Literature
    Matt Bogard · 2011 · TopSCHOLAR (Western Kentucky University)
  19. Time-to-degree: Students' abilities, university characteristics or what else?
    Carmen Aina, Eliana Baici, Giorgia Casalone · 2009
  20. Building Data Science Capabilities into University Data Warehouse to Predict Graduation
    Joonas A. Pesonen, Anna Fomkin, Lauri Jokipii · 2018 · EasyChair preprint
  21. Predicting Transfer Student Degree Completion at the University of South Florida - Tampa Utilizing Pre-Matriculation Data
    Danielle Busson McDonald · 2020 · Digital Commons - University of South Florida (University of South Florida)
  22. The Effect of Participation in Syracuse University Project Advance and Advanced Placement on Persistence and Performance at a Four-Year Private University
    Kalpana Srinivas · 2012 · Syracuse University Libraries (Syracuse University)
  23. What Makes Public School Teachers Stay, Leave or become Non-teachers? An In-depth Understanding of their Personal Characteristics, Beliefs and Perceptions
    Kavita Mittapalli · 2008
  24. Longitudinal study of first-time freshmen using data mining
    Ashutosh R. Nandeshwar · 2010
  25. Predicting Nontraditional Freshman Retention Using Pre-enrollment Data
    Bolorchimeg Boldbataar · 2014
  26. Assessing Data Mining Approaches for Analyzing Actuarial Student Success Rate
    Alan D. Olinsky, Phyllis A. Schumacher, John Quinn · 2012 · IGI Global eBooks
  27. Predicting Achievement with Neural Networks: The Case of Anadolu University
    Hilal Seda Yıldız Aybek, Muhammet Recep Okur · 2016 · Global Learn
  28. Research Phases of University Data Mining Project Development
    Dorina Kabakchieva, Kamelia Stefanova, Valentin Kissimov, Roumen Nikolov · 2010
  29. A Data Mining Framework for Improving Student Outcomes on Step 1 of the United States Medical Licensing Examination
    James J. Clark · 2019 · NSUWorks (Nova Southeastern University)
  30. A study of strategic enrolment management (SEM) in a continuing education institution in Hong Kong : senior and programme management perspectives
    Peggy M. L. Ng · 2014
  31. Academic Analytics
    Si Chen · 2014 · IGI Global eBooks
  32. Scholarships Assignments: An Important Challenge of Resources Allocation. Case Study: Completion Prediction System for Mexican Institution
    Fabian Orduña-Ferreira, Ana Lidia Franzoni Velázquez · 2024 · Smart innovation, systems and technologies
  33. Predicción de riesgo académico usando notas, asistencia a clases y clics en el LMS
    Gabriel Zúñiga, Carles Lindí­n, Teresa Sancho Vinuesa · 2025 · Campus Virtuales
  34. Predictive Modeling in Communication Studies: A Systematic Review of Feature Selection Techniques for Data-Driven Insights
    Muhammad Sufyian Mohd Azmi, Mohd Hazli Mohamed Zabil, Lim Kok Cheng, Moamin A. Mahmoud · 2024 · Review of Communication Research
  35. A NOVEL HYBRID FEATURE SELECTION FRAMEWORK FOR ENHANCING ACCURACY AND INTERPRETABILITY IN MACHINE LEARNING MODEL FOR STUDENT PERFORMANCE PREDICTION
    Muhammad Sufyian Mohd Azmi · 2025 · International Journal of Apllied Mathematics
  36. Additional file 1 of Enhancing data pipelines for forecasting student performance: integrating feature selection with cross-validation
    Roberto Bertolini, Stephen J. Finch, Ross H. Nehm · 2021 · Figshare
  37. Exploring Four Different Data Mining Models to Predict Community College First-Year Retention
    Camille Gasaway Pace, Lantry L. Brockmeier, Michael J. Bochenko, Daesang Kim · 2022 · Journal of Education & Social Policy
  38. Modelo Integral de Diagnóstico y Seguimiento Personalizado: Una propuesta para la prevención y atención del riesgo académico en la Facultad de Medicina y Nutrición
    Rosa P. Cruz Nieves, Paulina Guadalupe Briseño-Sahagun, Diego Fernando Ovalle Marroquín, Víctor Manuel Hernández Poxtan · 2026
  39. Predicting on-Time Graduation in Higher Education Using Institutional Administrative Data
    Wiratmoko Yuwono, Siti Nafiatul Fatimah, Arna Fariza, Idris Winarno · 2026 · International Seminar on Intelligent Technology and Its Applications
  40. LITERATURE ANALYSIS ON THE APPLICATION OF MACHINE LEARNING ALGORITHMS FOR THE PREVENTION OF UNIVERSITY DROP OUT
    2026 · Education and New Developments 2022 – Volume I
  41. Optimización de la predicción de retención estudiantil en la educación superior: un análisis comparativo de modelos de aprendizaje automático supervisados y no supervisado
    Franklin Iván Argueta Bermúdez, Wilber Alexander Ortiz Cortez, Miguel García Torres · 2026 · Revista Ciencia Tecnología e Innovación en Ingeniería y Arquitectura (CTI-FIA)