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Christine Ladwig; Taylor Webber; Dana Schwieger – Information Systems Education Journal, 2023
Data is a powerful tool for the healthcare industry to use for managing, analyzing, and reporting on critical events in the field. The analysis of broad, salient data files aids healthcare businesses in uncovering hidden patterns, market trends, and customer preferences; these details may then be used to improve the quality and delivery of care to…
Descriptors: Rural Areas, Health Services, Data Analysis, Learning Activities
Slez, Adam; O'Connell, Heather A.; Curtis, Katherine J. – Sociological Methods & Research, 2017
Areal data have been used to good effect in a wide range of sociological research. One of the most persistent problems associated with this type of data, however, is the need to combine data sets with incongruous boundaries. To help address this problem, we introduce a new method for identifying common geographies. We show that identifying common…
Descriptors: Data, Data Processing, Geographic Information Systems, Research Methodology
Swaid, Samar – Journal of Learning in Higher Education, 2013
Cyberinfrastructure (CI) is a term that usually appears in scientific research, but rarely to be noticed as a scientific education tool. In this paper, I describe a transformative Cyberinfrastructure-based strategy to improve Science, Technology, Engineering and Mathematics (STEM) education at one of the historically black colleges. This strategy…
Descriptors: Undergraduate Study, STEM Education, Black Colleges, Introductory Courses
Jafar, Musa J. – Journal of Information Technology Education, 2010
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…
Descriptors: Information Systems, Data Analysis, Teaching Methods, Integrated Curriculum
Chen, Ling; Liu, Yang; Gallagher, Marcus; Pailthorpe, Bernard; Sadiq, Shazia; Shen, Heng Tao; Li, Xue – Journal of Information Systems Education, 2012
The demand for graduates with exposure in Cloud Computing is on the rise. For many educational institutions, the challenge is to decide on how to incorporate appropriate cloud-based technologies into their curricula. In this paper, we describe our design and experiences of integrating Cloud Computing components into seven third/fourth-year…
Descriptors: Computers, Schools, Foreign Countries, Computer Science
Hourigan, Clare – Journal of Institutional Research, 2011
Academic standards and performance outcomes are a major focus of the current Cycle 2 Australian Universities Quality Agency (AUQA) audits. AUQA has clearly stated that universities will need to provide "evidence of setting, maintaining, and reviewing institutional academic standards and outcomes" (2010, p. 27). To do this, universities…
Descriptors: Decision Making, Admission Criteria, Program Improvement, Data Analysis
VanLengen, Craig Alan – Information Systems Education Journal, 2010
The Securities and Exchange Commission (SEC) has recently announced a proposal that will require all public companies to report their financial data in Extensible Business Reporting Language (XBRL). XBRL is an extension of Extensible Markup Language (XML). Moving to a standard reporting format makes it easier for organizations to report the…
Descriptors: Programming Languages, Information Dissemination, Data, Accounting
Thomas, Ronald S. – Principal Leadership, 2010
Despite all the speeches, articles, and meetings about data-based instructional decision making, the author's observation after more than 20 years of working with middle and high school teams is that teachers and administrators often make important instructional decisions on the basis of historical precedent, anecdotal information, experience, or…
Descriptors: Decision Making, Data Processing, Decision Making Skills, Management Information Systems
Cavaiani, Thomas P. – Journal of Information Systems Education, 2008
Students acquire an understanding of the differences between TCP and UDP (connection-oriented vs. connection-less) data transfers as they analyze network packet data collected during one of a series of labs designed for an introductory network essentials course taught at Boise State University. The learning emphasis of the lab is not on the…
Descriptors: Data Processing, Data Analysis, Instructional Effectiveness, Network Analysis
CAUSE/EFFECT, 1985
A strategic plan for the University of Miami charts specific objectives, programmatic and financial, that will lead it to prominence among the nation's teaching and research universities. Long-range plans for the information systems and academic systems of the university are discussed. (MLW)
Descriptors: College Administration, College Planning, Computers, Data Processing
Sholtys, Phyllis – CAUSE/EFFECT, 1983
The development of information systems using an engineering approach that uses both traditional programing techniques and fourth generation software tools is described. Fourth generation applications tools are used to quickly develop a prototype system that is revised as the user clarifies requirements. (MLW)
Descriptors: Computer Programs, Data Processing, Higher Education, Information Systems
CAUSE/EFFECT, 1983
The computing and information systems at the University of Missouri are described. All computing activity was centralized beginning in 1973 with the formation of the university computer network. Administrative data processing, financial systems, student systems, and office automation are discussed. (MLW)
Descriptors: Centralization, College Administration, Computers, Data Processing

Kline, Lanaii – 1972
INVENTORY OF ASSETS computer programs differ from the first version of INVENTORY OF ASSETS in that the sort routines used to order the input data are done using the IBM SORT program. This method conserves nearly 700,000 bytes of core storage, thereby decreasing the time required to receive processed jobs by 24 hours. However, this method restricts…
Descriptors: Computer Programs, Data Processing, Design, Design Requirements
Miselis, Karen L. – 1988
Recent changes are examined in the organization and functions of offices of planning and institutional research and in the relationship between those offices and the offices in charge of administrative information systems or data processing. Recent changes of this type at the University of Pennsylvania are discussed. Its metamorphosis is compared…
Descriptors: Administrative Change, Administrator Responsibility, Administrator Role, College Administration
Leslie, Judith W.; And Others – 1984
The Information Processing Planning (IPP) for Pima Community College for 1984-1987 is presented as a menu-driven computer program. First, the process of the development of the IPP is presented, including information on the college's computer task force, its membership, organization, goals, and focuses; on the purchase and upgrading of computer…
Descriptors: College Planning, Community Colleges, Computer Oriented Programs, Data Processing