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Barros, Thiago M.; Souza Neto, Plácido A.; Silva, Ivanovitch; Guedes, Luiz Affonso – Education Sciences, 2019
Predicting school dropout rates is an important issue for the smooth execution of an educational system. This problem is solved by classifying students into two classes using educational activities related statistical datasets. One of the classes must identify the students who have the tendency to persist. The other class must identify the…
Descriptors: Predictor Variables, Models, Dropout Rate, Classification
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Shi, Xi – Strategic Enrollment Management Quarterly, 2018
This study is an exploration of the probability of modeling higher education to optimize student retention for a desired academic outcome. As college students can be viewed as "consumers" of education institutions, this paper examines the applicability of business concepts of customer loyalty and retention and reviews the business…
Descriptors: College Students, School Holding Power, Academic Persistence, Models
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Hinchliffe, Lisa Janicke; Rand, Allison; Collier, Jillian – Communications in Information Literacy, 2018
The process of learning includes not only success in developing knowledge, skills, and abilities but also mistakes and errors that impede such success. In any domain of learning, instructors will have developed a sense of the typical errors learners make; however, there has been no systematic investigation and documentation of predictable…
Descriptors: Information Literacy, College Freshmen, Focus Groups, Misconceptions
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Karumbaiah, Shamya; Baker, Ryan S.; Shute, Valerie – International Educational Data Mining Society, 2018
Identifying struggling students in real-time provides a virtual learning environment with an opportunity to intervene meaningfully with supports aimed at improving student learning and engagement. In this paper, we present a detailed analysis of quit prediction modeling in students playing a learning game called Physics Playground. From the…
Descriptors: Predictor Variables, Academic Persistence, Educational Games, Play
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Zheng, Guoguo; Fancsali, Stephen E.; Ritter, Steven; Berman, Susan R. – Journal of Learning Analytics, 2019
If we wish to embed assessment for accountability within instruction, we need to better understand the relative contribution of different types of learner data to statistical models that predict scores and discrete achievement levels on assessments used for accountability purposes. The present work scales up and extends predictive models of math…
Descriptors: Formative Evaluation, Predictor Variables, Summative Evaluation, Scores
Deng, Sien – ProQuest LLC, 2017
Psychologists have become increasingly interested in the intra-individual variability of psychological measures as a meaningful distinguishing characteristic of persons. Assessments of intra-individual variability are frequently based on the repeated administration of self-report rating scale instruments, and extreme response style (ERS) has the…
Descriptors: Response Style (Tests), Psychological Testing, Differences, Rating Scales
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Menolascino, Nicole; Jenkins, Lyndsay N. – School Psychology Quarterly, 2018
Bullying is a prevalent issue in schools, and the importance of involving bystanders in bullying prevention has been recognized; however, there are few studies that examine personal characteristics that relate to the five steps of Latané and Darley's (1970) Bystander Intervention Model (notice the event, interpret as an emergency, accept…
Descriptors: Predictor Variables, Audiences, Prosocial Behavior, Intervention
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Perrault, Evan K.; Clark, Scott K. – International Journal of Sustainability in Higher Education, 2018
Purpose: A planet that can no longer sustain life is a frightening thought--and one that is often present in mass media messages. Therefore, this study aims to test the components of a classic fear appeal theory, the extended parallel process model (EPPM) and to determine how well its constructs predict sustainability behavioral intentions. This…
Descriptors: Sustainability, Fear, Models, Intention
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Gilson, Carly B.; Carter, Erik W.; Bumble, Jennifer L.; McMillan, Elise D. – Research and Practice for Persons with Severe Disabilities, 2018
Families are essential partners in efforts to elevate the employment outcomes of adults with intellectual and developmental disabilities (IDD). We examined the employment-related expectations, preferences, and concerns of 673 parents and other family members of adults with IDD. Participants prioritized paid integrated employment over sheltered…
Descriptors: Family Attitudes, Adults, Employment, Intellectual Disability
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Chae, Soo Eun; Kang, Gusup – International Journal of Lifelong Education, 2018
Using Korean Longitudinal Study of Aging data, we examined the influence of older adults' individual characteristics (i.e. marital status, health and economic status) on life satisfaction, with the mediating effect of older adults' active participation in lifelong learning. As a result, some individual characteristics appeared to significantly…
Descriptors: Older Adults, Lifelong Learning, Life Satisfaction, Foreign Countries
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Potter, Derek; Jayne, David; Britt, Sonya – Journal of Financial Counseling and Planning, 2020
Both financial anxiety and first-generation student status have been linked to negative academic outcomes, mental health issues, and poor social adjustment among college students; however, each factor has been studied in isolation. This article examines the predictors of financial anxiety, including generational status, using the Roy Adaptation…
Descriptors: Anxiety, First Generation College Students, Academic Achievement, Money Management
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Baker, Ryan S.; Berning, Andrew W.; Gowda, Sujith M.; Zhang, Shizhu; Hawn, Aaron – Journal of Education for Students Placed at Risk, 2020
Dropout remains a persistent challenge within high school education. In this paper, we present a case study on automatically detecting whether a student is at-risk of dropout within a diverse school district in Texas. We predict whether a student will drop out in a future school year from data on students' discipline, attendance, course-taking,…
Descriptors: At Risk Students, High School Students, Dropout Prevention, Student Diversity
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Garton, Paul M.; Wawrzynski, Matthew R. – Journal of College Student Development, 2021
Student affairs and student engagement are becoming important mechanisms for social change within South African tertiary education. We explored the relationship between student involvement in cocurricular activities and learning outcomes related to collective leadership for social change. Data were collected via a survey of 1,309 students that…
Descriptors: Social Change, Student Personnel Services, Learner Engagement, Higher Education
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Liu, Leping; Li, Wenzhen; Scherer, Rebecca – International Journal of Technology in Teaching and Learning, 2016
Technology has been increasingly used in counseling education and professional practice in the past two decades. To ensure technology is appropriately used to produce expected quality of counseling work, design of technology integration in counseling becomes a key point. The first part of this article presents a critical literature review and…
Descriptors: Technology Uses in Education, Counselor Training, Curriculum Design, Technology Integration
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Allen, Summer; Marquart-Pyatt, Sandra T. – International Journal of Sustainability in Higher Education, 2018
Purpose: This research contributes to the literature on workplace energy conservation by examining the predictors of individual employee behaviors and policy support in a university. The purpose of this research is to better understand what factors influence energy conservation behaviors in this setting to inform programs and interventions.…
Descriptors: Work Environment, Energy Conservation, Universities, Self Efficacy
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