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Download full textRafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
Peer reviewedLeggate, Peter; Dyer, Hilary – Electronic Library, 1986
Describes cataloging software characteristics (data input, storage, retrieval, and output); outlines acquisitions software requirements (recommendations, data input, budgetary control, dispatch of orders, claims and cancellations, receipts, management information); presents examples of cataloging and acquisitions software; and discusses the nature…
Descriptors: Cataloging, Computer Software, Cost Effectiveness, Data Processing
Mobray, Deborah, Ed. – 1983
Papers on local area networks (LANs), modelling techniques, software improvement, capacity planning, software engineering, microcomputers and end user computing, cost accounting and chargeback, configuration and performance management, and benchmarking presented at this conference include: (1) "Theoretical Performance Analysis of Virtual…
Descriptors: Computer Software, Computers, Cost Estimates, Data Processing
Advanced Technology, Inc., Reston, VA. – 1983
The way that the U.S. Department of Education's Office of Student Financial Assistance (OSFA) should conduct its quality assurance function of monitoring a processing contractor is described. For the following quality assurance procedures, information is provided on the goal of the procedure, activities to be measured, measures, and the role of…
Descriptors: Accountability, Computer Software, Contracts, Data Processing
Advanced Technology, Inc., Reston, VA. – 1982
A framework for monitoring quality control (QC) of processor contracts administered by the Department of Education's Office of Student Financial Assistance (OSFA) is presented and applied to the Pell Grant program. Guidelines for establishing QC measures and standards are included, and the uses of a sampling procedure in the QC system are…
Descriptors: Accountability, Computer Software, Contracts, Data Processing
