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Yiran Chen – Research in Higher Education, 2025
The "k"-means clustering method, while widely embraced in college student typology research, is often misunderstood and misapplied. Many researchers regard "k"-means as a near-universal solution for uncovering homogeneous student groups, believing its success hinges primarily on the selection of an appropriate "k."…
Descriptors: College Students, Classification, Educational Research, Research Methodology
Juanjuan Niu – International Journal of Web-Based Learning and Teaching Technologies, 2024
The internet, which is constantly advancing in technology, together with the rapidly changing internet communication technology terminals, has formed a new internet media, which has penetrated into all fields of human material life and spiritual life. This article proposes a design scheme for optimizing the impact of internet environment health on…
Descriptors: Influence of Technology, Internet, College Students, Ethical Instruction
Ashley Hannah Majzun – ProQuest LLC, 2023
Meta-analytic Structural Equation Modeling (MASEM) is the combination of meta-analysis (MA) and structural equation modeling (SEM). With new MASEM methodologies developed over the past few years, there is an opportunity to compare the past approaches with the new ones. The purpose of this dissertation is two-fold. First, the parameter estimates,…
Descriptors: Meta Analysis, Structural Equation Models, College Students, Academic Persistence
Alan Peslak; Lisa Kovalchick; Wenli Wang; Paul Kovacs – Information Systems Education Journal, 2023
Are students who prefer online education different from those who prefer on-ground education, and how? This is an important question because educational institutions need to better understand student segmentations. This research examined 251 survey responses from students enrolled in Computer Information Systems courses at three universities over…
Descriptors: Higher Education, Information Systems, Courses, Electronic Learning
Jackson, Dennis L.; McLellan, Chelsea; Frey, Marc P.; Rauti, Carolyn M. – Canadian Journal of Education, 2020
Academic entitlement (AE), which includes some students' tendencies to express deservingness of academic outcomes, not based on achievement, may have serious implications, such as academic dishonesty and classroom incivility. Some researchers have suggested that there may be different types of students with regard to AE, implying that motives for…
Descriptors: Student Behavior, Personality Traits, Classification, Undergraduate Students
Tanvir, Hasan; Chounta, Irene-Angelica – International Educational Data Mining Society, 2021
The aim of this work is to provide data-driven insights regarding the factors behind dropouts in Higher Education and their impact over time. To this end, we analyzed students' data collected by a Higher Education Institute over the last 11 years and we explored how socio-economic and academic changes may have impacted student dropouts and how…
Descriptors: Dropouts, College Students, Predictor Variables, Socioeconomic Status
Patel, Rahul S.; Walker, Tanesha; Weber, Zachary T.; Kelley, Sarah D.; Hansen, Ryan – Journal of American College Health, 2022
Objective: Our pilot study tests whether university counseling centers (UCC) can apply the concept of cluster analysis, and geospatial analysis to identify clusters of "hot spots". Participants: Study participants were university students who received services from a large mid-western UCC between August 2015 and July 2016. The study was…
Descriptors: Counseling Services, Higher Education, Multivariate Analysis, College Students
David Bamat – Measurement: Interdisciplinary Research and Perspectives, 2024
The National Assessment of Educational Progress (NAEP) program only reports state-level subgroup results if it samples at least 62 students identifying with the subgroup. Since some subgroups constitute small proportions of many states' general student populations, these minority subgroups are seldom sufficiently sampled to meet this sample size…
Descriptors: Reading Achievement, Achievement Gap, Prediction, National Competency Tests
Taylor V. Williams – ProQuest LLC, 2022
Clustering, a prevalent class of machine learning (ML) algorithms used in data mining and pattern-finding--has increasingly helped engineering education researchers and educators see and understand assessment patterns at scale. However, a challenge remains to make ML-enabled educational inferences that are useful and reliable for research or…
Descriptors: Multivariate Analysis, Data Analysis, Student Evaluation, Large Group Instruction
Perna, Laura W.; Leigh, Elaine W. – Educational Researcher, 2018
Over the past decade, but especially in the past few years, programs with a "promise" label have been advanced at the local, state, and federal levels. To advance understanding of the design, implementation, and impact of the many different versions of emerging programs, policymakers, practitioners, and researchers need an organizing…
Descriptors: Classification, College Programs, Multivariate Analysis, Policy Analysis
Rawat, Bhupesh; Dwivedi, Sanjay K. – International Journal of Information and Communication Technology Education, 2019
With the emergence of the web, traditional learning has changed significantly. Hence, a huge number of 'e-learning systems' with the advantages of time and space have been created. Currently, many e-learning systems are being used by a large number of academic institutions worldwide which allow different users of the system to perform various…
Descriptors: Electronic Learning, Student Characteristics, Learning Processes, Management Systems
Muijs, Daniel; Bokhove, Christian – British Educational Research Journal, 2017
Student satisfaction has received growing attention in Higher Education systems in recent years, and are increasingly used for internal and external accountability in the sector. This does leave us with questions on the extent to which variance in student satisfaction can be explained by Higher Education Institution (HEI) and course attended…
Descriptors: Graduate Students, Student Satisfaction, Postdoctoral Education, Multivariate Analysis
McClain, Lauren; Gulbis, Angelika; Hays, Donald – Assessment & Evaluation in Higher Education, 2018
Student evaluations of teaching (SETs) are an important point of assessment for faculty in curriculum development, tenure and promotion decisions, and merit raises. Faculty members utilise SETs to gain feedback on their classes and, hopefully, improve them. The question of the validity of student responses on SETs is a continuing debate in higher…
Descriptors: Ethics, Course Evaluation, Higher Education, Student Attitudes
Herber, Stefanie P.; Kalinowski, Michael – Education Economics, 2019
We estimate the percentage of eligible students who do not take up their federal need-based student financial aid entitlements in a microsimulation model for the German Socio-Economic Panel Study 2002--2013. We find that about 40% of the eligible low-income students do not take up their entitlements. Non-take-up is inversely and rather…
Descriptors: Foreign Countries, Student Financial Aid, Low Income, Eligibility
Pelco, Lynn E.; Ball, Christopher T. – Journal of Higher Education Outreach and Engagement, 2018
Marcia's (1966) identity status paradigm served as the theoretical framework to study the impact of service-learning on clarifying future plans for emerging adults with varying identity statuses. The study participants were 195 undergraduates at a large urban public university in the southeastern United States. The Dimensions of Identity…
Descriptors: Service Learning, Undergraduate Students, Student Surveys, Program Effectiveness

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