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."…

Support vector classifiers are one of the most popular linear classification techniques for binary classification. Different from some commonly seen model fitting criteria in statistics, such as the ordinary least squares criterion and the maximum likelihood method, its algorithm depends on an optimization problem under constraints, which is…

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…

This study aims to use group technology to classify students at the classroom level into clusters according to their learning style preferences. Group technology is used, due to the realization that many problems are similar, and that by grouping similar problems, single solutions can be found for a set of problems. The Felder and Silverman style,…

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…

Dialogism provides the grounds for building a comprehensive model of discourse and it is focused on the multiplicity of perspectives (i.e., voices). Dialogism can be present in any type of text, while voices become themes or recurrent topics emerging from the discourse. In this study, we examine the extent that differences between…

Hispanic-Serving Institutions (HSIs), institutions that enroll at least 25% Hispanic students, are institutionally diverse, including a much wider array of institutional types than other Minority-Serving Institutions (MSIs). Furthermore, they have distinctive institutional characteristics from those typically emphasized in institutional typologies…

This research connects several data-driven educational data mining approaches to a framework for interaction developed in educational research. In particular, 10 million usage data points collected by a Learning Management System used by students and teachers in 450 online undergraduate courses were analyzed with this framework. A range of…

It is well established that a successful transition to the labour market has long-term social and economic implications for both individuals and society. However, the journey from school to the world of work is not straightforward and needs to be better understood. Based on data from the 2006 cohort of the Longitudinal Surveys of Australian Youth…

This classification study examines evaluators' coursework training as a way of understanding evaluation practice. Data regarding courses that span methods and evaluation topics were collected from evaluation practitioners. Using latent class analysis, we establish four distinct classes of evaluator course-taking patterns: quantitative,…

On the basis of experiential learning theory and Cialdini's principles of influence, two psychological streams focused on providing hands-on experiences and on effectively influencing individuals, this article identifies a typology of students to engage them in professional student organizations. Exploratory factor analysis and cluster analysis…

High-ability students have special education needs that are often overlooked or misunderstood (Blaas in "Aust J Guid Couns" 24(2):243-255, 2014) which may result in talent loss (Saha and Sikora in "Int J Contemp Sociol Discuss J Contemp Ideas Res" 48(1):9-34, 2011). Educational acceleration can help avoid these circumstances…

A sample of 791 college students between the ages of 18 and 25 years were administered a series of measures to determine their sexual identity development status, global self-esteem, global psychological distress, sexual-esteem and sexual distress. As hypothesized, results indicated no significant difference in terms of psychological distress,…

Based on analyses of Maclean's ranking data pertaining to Canadian universities published over the last 24 years, we present a summary of statistical findings of annual ranking exercises, as well as discussion about their current status and the effects upon student welfare. Some illustrative tables are also presented. Using correlational and…

This study evaluates the use of a hierarchical classification approach to automated assessment of essays. Automated essay scoring (AES) generally relies onmachine learning techniques that compute essay scores using a set of text variables. Unlike previous studies that rely on regression models, this study computes essay scores using a hierarchical…