Businesses use data to enhance operational performance, creating demand for professionally trained data/business analytics graduates. Universities offer a variety of academic programs in response to the increasing labor market demands. Yet, research on how well educational offerings adapt to market demand is scant. This paper aims to evaluate how…

Data mining is an emerging field of study in Information Systems programs. Although the course content has been streamlined, the underlying technology is still in a state of flux. The purpose of this paper is to describe how we utilized Microsoft Excel's data mining add-ins as a front-end to Microsoft's Cloud Computing and SQL Server 2008 Business…

Outlines career paths and education requirements for computer science occupations. Discusses ways in which business educators can incorporate computers and data processing into the curriculum, and can keep themselves abreast of current developments. (SK)

At what levels should business data processing be taught and what should be the desired training or career education outcomes at each education level? The levels discussed here are (1) comprehensive secondary school, (2) secondary vocational skills center or technical institute, (3) community or junior college, and (4) college or university. (LRA)

Since computers are universally accepted in business today, the accounting classroom is the appropriate place to teach their use. A California high school accounting committee's recommendation led to the school's development of a computer processing program within the accounting department. The program's curriculum is described. (CT)

Discusses the role and importance of computers in today's society. Business teachers must prepare their students to function in an environment which includes all kinds of computers. (JOW)

Presents 15 suggestions for training business education students in the use of computers. Suggestions involve computer language, method of presentation, laboratory time, programing assignments, instructions and handouts, problem solving, deadlines, reviews, programming concepts, programming logic, documentation, and defensive programming. (CT)

Stresses the need to improve the design of data processing curricula and to help students understand how technology affects human development and career choice. (JOW)

Outlines an introductory computer literacy course that focuses on the business data processing cluster. The course provides a general understanding of data processing history, applications, equipment, systems, people, and procedures. (SK)

Describes a course in information processing which combines word processing (WP) and date processing (DP). The purpose of the course is to make students aware that WP and DP should not work in isolation but together for the common good of the organization. (JOW)

The future of data processing (DP) will depend upon how business teachers handle the subject. A high school DP curriculum should provide background and basic entry-level skills to prepare students for opportunities in this rapidly growing field. (SK)

Describes a study that used survey research techniques to identify duties and tasks related to work performed by data entry operators. Based upon survey findings, a catalog of performance objectives and guides was developed, which is especially useful for instructors, as well as administrators and curriculum specialists. (NRJ)

This report describes and flowcharts the process of the paper work flow at a hypothetical automotive parts business from the disbursement of funds to the updating of the inventory records, in order to supply business students with a lesson in using the data processor. (CT)

Business teachers who teach computer applications face three major challenges: making their classes attractive to students; managing individualized, multiactivity classes; and developing independent business software users. The last-mentioned goal is the primary reason for the existence of the business department. (SK)

Provides an overview of recent research related to the teaching of business data processing. It identifies the kind of instructional questions asked, the general types of research methodology used, and comments about the research conclusions. (CT)