This case is designed to be used in business analytics courses; particularly those that emphasize predictive analytics. Students are given background information on money laundering and data from People's United Bank, a regional bank in the northeast United States. The students must develop their hypothesis, analyze the data, develop and optimize…

This chapter describes examples of Trade Adjustment Assistance Community College and Career Training-funded innovations that resulted in statewide systemic change, including approaches to accelerate adult credential attainment, new approaches to data collection and analysis, enhanced individualized student support, and stronger industry alignment.

The purpose of these guidelines is to support the execution of cost analysis and cost-effectiveness analysis of educational programs. The steps involved in conducting a cost analysis are presented in four stages with explicit examples used throughout: designing your cost analysis, collecting cost data using the ingredients method, analyzing cost…

Choosing a major field of study is important, and so is the selection of a specialized concentration that is aligned with an individual's career aspirations. In this paper, we explore a relatively newer concentration in the area of business, namely business analytics. The field of analytics has seen a rapid growth in recent years and enrollment in…

Over the last 20 years, statistics preparation has become vital for a broad range of scientific fields, and statistics coursework has been readily incorporated into undergraduate and graduate programs. However, a gap remains between the computational skills taught in statistics service courses and those required for the use of statistics in…

An estimated 1,400 colleges and universities nationwide have invested in predictive analytics technology to identify which students are at risk of failing courses or dropping out, with spending estimated in the hundreds of millions of dollars. How accurate and stable are those predictions? The authors put six predictive models to the test to gain…

The Powerful Learning with Computational Thinking report explains how the Digital Promise team works with districts, schools, and teachers to make computational thinking ideas more concrete to practitioners for teaching, design, and assessment. We describe three powerful ways of using computers that integrate well with academic subject matter and…

The purpose of this quantitative ex post facto study was to examine if there is a significant difference in mean moral judgment levels of first year undergraduate students after participating in a character development program at a non-traditional program in a university in the southwestern United States. This study included new non-traditional…

The purpose of this quantitative causal-comparative study was to examine if there was a statistically significant difference in academic retention, Kaplan® Diagnostic examination scores, and the program completion of upper division nursing students using a concept-based curriculum versus a standard nursing curriculum in one health sciences…

This action research study examined how faculty development workshops affected how testing grade level teachers disaggregate standardized data. It also examined how teachers used the information to improve communication and classroom instruction. The rationale for the study was that teachers were asked to be data driven, but were not taught how to…

Drawing on assemblage theory (Deleuze & Guattari, 1987; DeLanda, 2006), this conceptual chapter seeks to provide an analytical lens for examining the power and capacity of Big Data analytics to exercise territorializing and deterritorializing effects on compound polities and supranational organizations. More specifically, the modern massive…

The objective of this study is to present and discuss how data visualization can be incorporated into teaching approaches by business faculty in introductory business statistics to strengthen business students' practical skills. Data visualization lessens difficulties in learning statistics by providing opportunities to illustrate analytical…

Despite the recent and ongoing progress in using text-mining tools to automatically analyze large text corpora, there remains significant potential to facilitate the study of social action in social science research. In this context, particularly the disambiguation (who is referred to in a text?) and specification (which demographic…

Considering the large volume of PISA data, it is expected that data mining will often be assisted in making PISA data more meaningful. Studies show that different dimensions of ICT may reveal different relationships for mathematics achievement. The purpose of this article is to evaluate the success of the decision tree classification algorithms in…

In the last three decades, a networked global system has emerged in the natural-science-based disciplines, sustained by collegial epistemic relations in universities. Nationally ordered and funded science has expanded alongside the global science system. The common global pool of papers, defined by bibliometric collections, nevertheless excludes…