Using logistic regression model to identify student characteristics to tailor graduation initiatives

A Chatterjee, C Marachi, S Natekar… - College Student …, 2018 - ingentaconnect.com
Improving graduation rates is one of the biggest missions in many universities across the
country and it is surely the case on the campus of this institution. The work here presents a …

Forecasting Universities' Graduation Rates using Multiple Linear Regression

R Boone, S Al-Haddad… - IIE Annual Conference …, 2017 - search.proquest.com
Graduation rates and degree completion have always been a concern for students, students'
families and universities. Moreover, many consider college degree completion rates to be …

Understanding Graduation Rates at Higher Education Institutions: A Forecasting Model.

S Al-Haddad, R Boone, E Campbell - International Journal for Business …, 2018 - ERIC
Graduation rates and degree completion have always been a concern for students, students'
families and universities. Moreover, many consider college degree completion rates to be …

Predicting 6-Year Graduation and High-Achieving and At-Risk Students.

D Rogulkin - Online Submission, 2011 - ERIC
The second year of college can be as important as the first year but far fewer studies have
been conducted on second-year students. About 12% of students leave California State …

Prediction of Graduation Delay Based on Student Characterisitics and Performance

T Ojha - 2017 - digitalrepository.unm.edu
A college student's success depends on many factors including pre-university characteristics
and university student support services. Student graduation rates are often used as an …

Using data mining techniques to predict university student's ability to graduate on schedule

SC Mwape, D Kunda - International Journal of Innovation in …, 2023 - inderscienceonline.com
Research in educational data mining to establish or predict the retention of students in
higher education institutions, as well as predict graduation performance abounds. This …

Exploring student characteristics of retention that lead to graduation in higher education using data mining models

D Raju, R Schumacker - Journal of College Student …, 2015 - journals.sagepub.com
The study used earliest available student data from a flagship university in the southeast
United States to build data mining models like logistic regression with different variable …

Predicting key educational outcomes in academic trajectories: a machine-learning approach

MF Musso, CFR Hernández, EC Cascallar - Higher education, 2020 - Springer
Predicting and understanding different key outcomes in a student's academic trajectory such
as grade point average, academic retention, and degree completion would allow targeted …

[PDF][PDF] Relationship between factors and graduation rates for student success in the US college

W Zhang, T Koshmanova - … of the 9th European Conference on …, 2020 - papers.iafor.org
Graduation rates are essential indicators of students' success and the indicators defined as
the percentage of a school's first-time, first-year college students who continue their studies …

Predicting time to graduation at a large enrollment American university

JM Aiken, R De Bin, M Hjorth-Jensen, MD Caballero - Plos one, 2020 - journals.plos.org
The time it takes a student to graduate with a university degree is mitigated by a variety of
factors such as their background, the academic performance at university, and their …