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Ericson, Robert W. – American School and University, 1986
An office automation audit is a comprehensive review of the existing and planned office hardware, software, staffing, and management. Factors reviewed include: standards, physical setup, storage facilities, disaster recovery, equipment protection and utilization, software adequacy, and staff training and adequacy. (MLF)
Descriptors: Computer Oriented Programs, Computers, Elementary Secondary Education, Higher Education
CAUSE/EFFECT, 1986
Texas A & M University at Galveston is the only marine and maritime-oriented University in the Southwest. Its computing policy/direction, academic computing, administrative computing, and library automation are described, and hurricance emergency plans are also discussed. (MLW)
Descriptors: Automation, College Administration, College Libraries, Computers
CAUSE/EFFECT, 1984
In 1981 a project to determine the current information needs of the institution was outlined and strategies for meeting those needs were identified. Each administrative office has full responsibility for data and production scheduling, while the computing center ensures that the software and hardware are operational. (MLW)
Descriptors: Church Related Colleges, Computers, Data Processing, Higher Education
Peer reviewedLolli, Anthony – College and University, 1984
A model is presented for the development of effective, flexible student information systems that are directed by users' needs rather than other forces. The conceptual design, detail design, and policy consideration are discussed. Focus is on the development process rather than the final product. (MSE)
Descriptors: College Administration, Higher Education, Information Needs, Information Utilization
Rokicki, Philip S.; Springer, Peggy B. – CAUSE/EFFECT, 1985
Guidelines are offered to institutions seeking to interface their diverse student and administrative databases. Administrative costs associated with maintaining separate data systems are often unnecessary, and duplication of data can make consistent and accurate reports hard to achieve. (Author/MLW)
Descriptors: College Administration, Computers, Coordination, Data Processing
Smith, Dana E.; Hutton, Steve M. – Collegiate Microcomputer, 1984
Explores use of uniquely developed microcomputer programs at Purdue University Undergraduate Library which provide reference service when reference personnel are unavailable. These programs, which allow patrons to query specific subjects of interest, also generate statistical summaries used for development of library instruction programs,…
Descriptors: College Libraries, Computer Software, Data Collection, Design
Kalmbacher, Staci – National Middle School Association (NJ1), 2004
Districts must hire "highly qualified teachers" to implement "research-based best practices" using "data-driven decisions" to positively impact student achievement. The No Child Left Behind Act (NCLB) of 2001 has provided educators a whole new set of catch phrases. As states, districts, and educators work to define…
Descriptors: Test Results, Educational Strategies, Educational Technology, Standardized Tests
Felstehausen, Joyce L. – Illinois Career Education Journal, 1974
This article describes in detail the design, testing, and implementation of an automated system to gather, process, and analyze followup data from occupational education programs in formats usable by local vocational administrators, to satisfy State and Federal accountability requirements and to assist State and local school personnel in…
Descriptors: Data Analysis, Evaluation Criteria, Followup Studies, Management Information Systems
Singleton, J. W. – Education Canada, 1972
Discussion of this process, its circular nature, and what factors affect it. (Editor)
Descriptors: Board Administrator Relationship, Decision Making, Decision Making Skills, Educational Objectives
Rath, Gustave; Vogel, Carl – Journal of Educational Data Processing, 1972
Descriptors: Databases, Educational Needs, Information Needs, Information Processing
Peer reviewedMason, Richard O.; Mitroff, Ian I. – Management Science, 1973
Suggests a program of research in Management Information Systems (MIS) by means of identifying five general considerations for any MIS design -- psychological type, class of problem, method of evidence, organizational context, and mode of presentation. Argues that a full program of MIS research should test the interaction effects of all possible…
Descriptors: Classification, Decision Making, Information Sources, Management Information Systems
Peer reviewedFoecke, J. F. – AEDS Journal, 1972
Discusses the need to analyze and develop concepts of effective data handling when new systems projects are in their initial stages of development. For one such project -- TIES -- the author examines several of these concepts within the framework of the technical capability available and the need of the user. The developmental processes and the…
Descriptors: Computers, Databases, Dial Access Information Systems, Educational Technology
Peer reviewedCumming, William Kenneth – AEDS Journal, 1972
Descriptors: Change Agents, Data Processing, Educational Administration, Information Processing
Canipe, Stephen L.; And Others – American School and University, 1983
A School Retrofit Design Analysis System (SRDAS) provides energy modeling analyses of school buildings. SRDAS has three subprograms that consider first, roof, windows, walls, floors, and infiltration sites; second, costs per student, compliance with national energy consumption norms, and electricity costs projections; and third, financial savings…
Descriptors: Administrators, Building Operation, Computer Programs, Decision Making
Hella, Karl N.; Lygre, John – CAUSE/EFFECT, 1983
The development of a faculty information system from the perspectives of need, objectives, file structures, and the interaction between the faculty and administration during data collection is discussed. The file includes biographical data of the faculty, staffing assignments, and projections for tenure, promotion, and retirement. (Author/MLW)
Descriptors: Biographies, College Faculty, Data Collection, Data Processing


