This chapter is about using campus diversity data to inform student affairs work.

With the ease and automation of data collection and plummeting storage costs, organizations are faced with massive amounts of data that present two pressing challenges: technical analysis of the data themselves and communication of the analytics process and its products. Although a plethora of academic and practitioner literature have focused on…

Literature on global international student mobility (ISM) highlights the uneven nature of student flows--from the developing to the developed world--however, studies have yet to address whether this pattern is replicated within expanding regional networks. Utilizing social network analysis, UNESCO ISM data, and World Bank income classifications,…

Emerging research illustrates that undergraduate students are searching for meaning in their lives, yet postsecondary institutions generally do little to support them in exploring such issues (Astin et al., 2005b). We speculated that religiously affiliated institutions might offer guidance on supporting students' spiritual development, and thus…

We discuss the learning goals, content, and delivery of a University of Plymouth intensive module delivered over four weeks entitled MATH1608PP Understanding Big Data from Social Networks, aimed at introducing students to a broad range of techniques used in modern Data Science. This module made use of R, accessed through RStudio, and some popular…

Considering the fact that starting from January 1, 2015 the complex exam is introduced for the first time in the Russian Federation for the foreign citizens, who apply for obtaining the employment and residence permits, this article reveals the educational policy strategy on this category of foreigners. This policy is considered within the…

This paper presents an analysis of the effects of in-state resident tuition (IRT) policies, which allow undocumented immigrants to pay in-state rather than out-of state tuition, on when and where undocumented immigrant students enroll, and how they finance their education. We identify effects based on differences in pre- and post-policy outcomes…

Data visualization is the term used to describe the methods and technologies used to allow the exploration and communication of quantitative information graphically. Data visualization is a rapidly growing and evolving discipline, and visualizations are widely used to cover politics. Yet, while popular and scholarly publications widely use…

Nearly 40% of all public community college enrollment is in noncredit courses. While there have been several recent reports on the noncredit function at community colleges, little has been done in terms of large-scale studies and/or statewide analyses on this population. The purpose of this study was to explore one state's community college…

The recent significant increase in student loan delinquencies has generated interest in understanding the key factors predicting the non-performance of these loans. However, despite the large size of the student loan market, existing analyses have been limited by lack of data. This paper studies predictors of student loan delinquencies using a…

This paper documents the initial phase of a research project to improve peer interaction in a discussion forum for a Spatial Sciences class (unit) at Curtin University. A number of strategies were implemented to redress the low levels of online participation prevailing for a number of years. Three research questions were formulated to evaluate the…

In 1979, less than 30% of full-time university students in Canada worked for pay during the academic year. By the mid-2000s, this had risen to 45%. This trend to increasing work among full-time students is also evident in other countries, and may be a concern if it reduces students' investment in human capital during their studies. I find that,…

Background. The purpose of this study was to examine the cross-sectional and longitudinal influence of specific social-cognitive variables on students' physical activity behavior across the first college year. Methods. First-year college students (N = 406) from a regional higher education institution participated. Email solicitation was sent to…

The purpose of this study was to use data from the National Longitudinal Transition Study-2 (NLTS2) to (a) conceptually identify and empirically establish student, family, and school constructs; (b) explore the degree to which the constructs can be measured equivalently across disability groups; and (c) examine latent differences (means,…

Ontology is a knowledge representation technique which aims to make knowledge explicit by defining the core concepts and their relationships. The Structural Equation Modeling (SEM) is a statistical technique which aims to explore the core factors from empirical data and estimates the relationship between these factors. This article presents an…