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Phillip A. Morris; Jim Burke; Jen Weiss – Journal of Student Financial Aid, 2024
This study examined the relationship between individual and institutional characteristics for student veterans who borrow money while enrolled in degree-seeking programs. Using data from the National Postsecondary Student Aid Study (NPSAS 16), we established predictors of borrowing, implications of borrowing, and examined patterns in total aid…
Descriptors: Veterans, Student Financial Aid, Nontraditional Students, Individual Characteristics
Costa, Stella F.; Diniz, Michael M. – Education and Information Technologies, 2022
The large rates of students' failure is a very frequent problem in undergraduate courses, being even more evident in exact sciences. Pointing out the reasons of such problem is a paramount research topic, though not an easy task. An alternative is to use Educational Data Mining techniques (EDM), which enables one to convert data from educational…
Descriptors: Prediction, Undergraduate Students, Mathematics Education, Models
Wonsun Ryu; Lauren Schudde; Kimberly Pack-Cosme – American Educational Research Journal, 2024
Dual enrollment (DE)--where students earn college credits during high school--is expanding rapidly. To facilitate DE, institutional actors across K-12 schools and colleges must build or repurpose structures across separate organizations to determine course offerings, assignments, modality, and composition. Yet the organization and implications of…
Descriptors: Dual Enrollment, College Credits, Public Schools, High School Students
Naseem, Mohammed; Chaudhary, Kaylash; Sharma, Bibhya – Education and Information Technologies, 2022
The need for a knowledge-based society has perpetuated an increasing demand for higher education around the globe. Recently, there has been an increase in the demand for Computer Science professionals due to the rise in the use of ICT in the business, health and education sector. The enrollment numbers in Computer Science undergraduate programmes…
Descriptors: College Freshmen, Student Attrition, School Holding Power, Dropout Prevention
Camille Gasaway Pace – ProQuest LLC, 2021
Even with extensive retention research dating from the 1960s, community colleges still struggle to identify the reasons why students do not return to college. Data mining has allowed these retention models to evolve to identify new patterns among student populations and variables. The purpose of this study was to create a predictive model for…
Descriptors: Community Colleges, School Holding Power, College Freshmen, Information Retrieval
CannistrĂ , Marta; Masci, Chiara; Ieva, Francesca; Agasisti, Tommaso; Paganoni, Anna Maria – Studies in Higher Education, 2022
This paper combines a theoretical-based model with a data-driven approach to develop an Early Warning System that detects students who are more likely to dropout. The model uses innovative multilevel statistical and machine learning methods. The paper demonstrates the validity of the approach by applying it to administrative data from a leading…
Descriptors: Dropouts, Potential Dropouts, Dropout Prevention, Dropout Characteristics
Abbott, Rodman P.; Stracener, Jerrell – Journal of Research Administration, 2016
This study investigates the relationship between the designated research project system independent variables of Labor, Travel, Equipment, and Contract total annual costs and the dependent variables of both the associated matching research project total annual academic publication output and thesis/dissertation number output. The Mahalanobis…
Descriptors: Systems Approach, Research Projects, Pattern Recognition, Predictor Variables
Dinsmore, Daniel L.; Baggetta, Peter; Doyle, Stephanie; Loughlin, Sandra M. – Journal of Experimental Education, 2014
The purpose of this study was to demonstrate that transfer ability (positive and negative) varies depending on the nature of the problems, using the knowledge transfer matrix, as well as being dependent on the individual differences of the learner. A total of 178 participants from the United States and New Zealand completed measures of prior…
Descriptors: Foreign Countries, Transfer of Training, Prior Learning, Pattern Recognition
Good, Jessica J.; Moss-Racusin, Corinne A.; Sanchez, Diana T. – Psychology of Women Quarterly, 2012
Across two studies, we tested whether perceived social costs and benefits of confrontation would similarly predict confronting discrimination both when it was experienced and when it was observed as directed at others. Female undergraduate participants were asked to recall past experiences and observations of sexism, as well as their confronting…
Descriptors: Gender Bias, Gender Discrimination, Conflict, Females
Niemi, David; Gitin, Elena – International Association for Development of the Information Society, 2012
An underlying theme of this paper is that it can be easier and more efficient to conduct valid and effective research studies in online environments than in traditional classrooms. Taking advantage of the "big data" available in an online university, we conducted a study in which a massive online database was used to predict student…
Descriptors: Higher Education, Online Courses, Academic Persistence, Identification
Delen, Dursun – Journal of College Student Retention: Research, Theory & Practice, 2012
Affecting university rankings, school reputation, and financial well-being, student retention has become one of the most important measures of success for higher education institutions. From the institutional perspective, improving student retention starts with a thorough understanding of the causes behind the attrition. Such an understanding is…
Descriptors: Higher Education, Student Attrition, School Holding Power, Prediction
Erchul, William P.; DuPaul, George J.; Bennett, Megan S.; Grissom, Priscilla F.; Jitendra, Asha K.; Tresco, Katy E.; Volpe, Robert J.; Vile Junod, Rosemary E.; Flammer-Rivera, Lizette M.; Mannella, Mark C. – School Psychology Review, 2009
The purpose of this study was to link consultant and teacher verbal interaction patterns to consultation outcomes. Participants were 4 consultants, 20 teachers, and 20 elementary school students with attention deficit hyperactivity disorder. Audiotaped Problem Analysis Interviews (PAIs) from Project PASS (Promoting Academic Success in Students)…
Descriptors: Intervention, Rating Scales, Teacher Influence, Attention Deficit Hyperactivity Disorder
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers