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Hanan Khalil; Danielle Pollock; Patricia McInerney; Catrin Evans; Erica B. Moraes; Christina M. Godfrey; Lyndsay Alexander; Andrea Tricco; Micah D. J. Peters; Dawid Pieper; Ashrita Saran; Daniel Ameen; Petek Eylul Taneri; Zachary Munn – Research Synthesis Methods, 2024
Objective: This paper describes several automation tools and software that can be considered during evidence synthesis projects and provides guidance for their integration in the conduct of scoping reviews. Study Design and Setting: The guidance presented in this work is adapted from the results of a scoping review and consultations with the JBI…
Descriptors: Automation, Computer Software, Synthesis, Protocol Analysis
Callanan, Gerard A.; Perri, David F.; Tomkowicz, Sandra M. – Journal of Education for Business, 2018
The authors present a pedagogical primer on the highly controversial business strategies of data mining and automated prediction. They provide a summary that allows business professors and students the opportunity to better understand the privacy and ethical issues that arise from high-tech, Internet-based organizations implementing programs to…
Descriptors: Automation, Prediction, Discussion (Teaching Technique), Privacy
Stamper, John; Barnes, Tiffany; Croy, Marvin – International Journal of Artificial Intelligence in Education, 2011
The Hint Factory is an implementation of our novel method to automatically generate hints using past student data for a logic tutor. One disadvantage of the Hint Factory is the time needed to gather enough data on new problems in order to provide hints. In this paper we describe the use of expert sample solutions to "seed" the hint generation…
Descriptors: Cues, Prompting, Learning Strategies, Teaching Methods
Rothamel, William – CAUSE/EFFECT, 1984
To be sure that the capitalization required in the move to distributed processing is spent wisely, it is necessary to understand the function, integration, and system architecture. How to achieve corporate standards in office automation/decision support in higher education is discussed. (Author/MLW)
Descriptors: Automation, Computers, Data Processing, Decision Making
Hazony, Yehonathan – Perspectives in Computing, 1983
Computer-integrated manufacturing (CIM) involves use of data processing technology as the vehicle for full integration of the total manufacturing process. A prototype research and educational facility for CIM developed with industrial sponsorship at Princeton University is described. (JN)
Descriptors: Automation, Computer Oriented Programs, Data Processing, Educational Facilities
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
Ewart, R. W. – International Journal of Institutional Management in Higher Education, 1988
As new information technology options are made available, office automation systems are being introduced and along with campus networks, and management information service requirements are evolving. Eight common strategies found in 10 American institutions are reported. (Author/MLW)
Descriptors: Automation, College Administration, Computer Networks, Data Processing

Boley, Daniel; Gini, Maria; Hastings, Kyle; Mobasher, Bamshad; Moore, Jerry – Internet Research, 1998
Describes WebACE, the architecture of a client-side agent that explores and classifies Web documents in clusters automatically and discusses the details of the algorithms within its key components. Highlights principal direction divisive partitioning (PDDP), a scalable hierarchical clustering algorithm; compares it to other clustering methods; and…
Descriptors: Algorithms, Automation, Classification, Cluster Grouping

Middleton, Morris G.; And Others – 1980
The Chief of Naval Education and Training (CNET) Automated Budget System II (CABS II) is an improved and expanded version of an earlier system which was developed by the Training Analysis and Evaluation Group (TAEG) to provide an efficient, easy means of handling the large volume of data necessary to produce budget documents. Intended as a guide…
Descriptors: Automation, Budgets, Computer Oriented Programs, Computer Programs

Aldous, K. J. – Information Processing & Management, 1996
Discusses a method for organizing and augmenting the data in a complex database to make automatic retrieval possible. Presents an example of the method using a database of information on the nature and use of fungicides. Initial results of trials with potential users suggest that the system can produce relevant responses to queries. (Author/AEF)
Descriptors: Access to Information, Automation, Data Processing, Databases
Department of Commerce, Washington, DC. – 1984
The first of two volumes, this document describes the planning process of a 5-year plan for meeting the telecommunications and automatic data processing (ADP) needs of the federal government, examines the planning efforts of several typical agencies, and explores issues involved in managing new technology as it evolves. For each agency,…
Descriptors: Automation, Data Processing, Federal Government, Information Science
St. John, Edward P. – CAUSE/EFFECT, 1986
An overview of the options and opportunities postsecondary institutions should consider when developing plans for student aid automation is provided. The role of automation in the financial aid office, interfaces with institutional and external systems, alternative approaches to automation, and the need for an institutional strategy for automation…
Descriptors: Automation, College Administration, Data Processing, Financial Aid Applicants
Seim, Sandra K.; Stoneking, Cheryl A. – CAUSE/EFFECT, 1981
In February 1980, Rush-Presbyterian-St. Lukes Medical Center in Chicago appointed a task force to study word processing/office automation and to make recommendations for acquisition, implementation, and administration. The group's working approach, findings, and conclusions are discussed. (Author/MLW)
Descriptors: Automation, Centralization, Coordination, Data Processing
Department of Commerce, Washington, DC. – 1984
This volume, the second of two, presents and analyzes the information technology acquisition plans of the Federal Government by agency and component. A brief description covers the outlays planned for major information technology acquisitions of general purpose data processing and telecommunications systems, facilities, and related services for 6…
Descriptors: Automation, Data Processing, Federal Government, Information Science

Middleton, Morris G.; And Others – 1979
This document describes the Chief of Naval Education and Training (CNET) Automated Budget System (CABS), which was developed by the Training Analysis and Evaluation Group (TAEG) to provide an efficient, easy means of handling the large volume of data necessary to produce budget documents. A guide provided for Naval Education and Training Command…
Descriptors: Automation, Budgets, Computer Oriented Programs, Computer Programs
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