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Life studies are a rich source for further research on the role of the Afro‐American woman in society. They are especially useful to gain a better understanding of the Afro‐American experience and to show the joys, sorrows, needs, and ideals of the Afro‐American woman as she struggles from day to day.

The implementation of new technology in the workplace has produced some negative responses from employers. Two field surveys investigating the prevalence of repetitive VDU work in the UK are discussed and responses from four categories of workers – data entry operators, administrators, programmers and supervisors – are analysed. Critical psychological variables show that in all cases data entry operators gave more extreme (worse) responses than any other group. It is concluded that there appears to be widespread evidence of more routine menial tasks having been created as a result of the introduction of new technology. Guidelines regarding the use of VDUs, especially over protracted periods, are advocated, with the introduction of timely rest breaks.

Describes how in recent years a greater priority has been given to improving health in the workplace and throughout the workforce. The increased awareness of and investment in employee wellbeing in commercial organizations, however, has not extended to UK higher education. When viewed in the light of the changing and increasing pressures placed on this sector in recent years, and the increasing insecurity and instability which arise therefrom, this appears an important oversight. Universities are primarily “people organizations”, success being fundamentally dependent on the abilities and performance of the human resource. Even small institutions have a high financial investment in both their academic and non‐academic staff. Argues that there is therefore a strong prima facie case for more proactive health care measures to be implemented in order to respond to the myriad organizational personnel problems associated with changes in higher education. Aims to highlight some of the characteristics of the university environment which distinguish it from other types of employing organization.

The prediction of graduation rates of college students has become increasingly important to colleges and universities across the USA and the world. Graduation rates, also referred to as completion rates, directly impact university rankings and represent a measurement of institutional performance and student success. In recent years, there has been a concerted effort by federal and state governments to increase the transparency and accountability of institutions, making “graduation rates” an important and challenging university goal. In line with this, the main purpose of this paper is to propose a hybrid data analytic approach which can be flexibly implemented not only in the USA but also at various colleges across the world which would help predict the graduation status of undergraduate students due to its generic nature. It is also aimed at providing a means of determining and ranking the critical factors of graduation status.

This study focuses on developing a novel hybrid data analytic approach to predict the degree completion of undergraduate students at a four-year public university in the USA. Via the deployment of the proposed methodology, the data were analyzed using three popular data mining classifications methods (i.e. decision trees, artificial neural networks, and support vector machines) to develop predictive degree completion models. Finally, a sensitivity analysis is performed to identify the relative importance of each predictor factor driving the graduation.

The sensitivity analysis of the most critical factors in predicting graduation rates is determined to be fall-term grade-point average, housing status (on campus or commuter), and which high school the student attended. The least influential factors of graduation status are ethnicity, whether or not a student had work study, and whether or not a student applied for financial aid. All three data analytic models yielded high accuracies ranging from 71.56 to 77.61 percent, which validates the proposed model.

This study presents uniqueness in that it presents an unbiased means of determining the driving factors of college graduation status with a flexible and powerful hybrid methodology to be implemented at other similar decision-making settings.

Despite the fact that learning the mechanics or the knowledge of how to prepare the Statement of Cash Flows (SCF) is not highly complex, students continually struggle. This paper summarizes the history along with the importance and value-relevance of the SCF in practice to better inform the classroom.

Specifically, I examine pedagogies, tools, and delivery methods from previous studies and suggest areas for future education-based research studies.

The use of the SCF in practice has persisted over centuries. I explore methods of incorporating the SCF into the classroom, including the implications of McNellis (2015) and Frischmann, Pumphrey, and Santhanakrishnan (2015). I also examine the use of technology in the classroom and online delivery.

Academics and administrators should find this paper helpful as it provides a summary of examples for the classroom, which could lead to continuous curriculum improvement. For many universities, maintenance of program accreditation mandates assessing learning and, therefore, continuous curriculum improvement.