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Scott, Glen; Winiecki, Donald J. – Performance Improvement Quarterly, 2012
Human performance technology (HPT), like other concepts, models, and frameworks that we use to describe the world in which we live and the way we organize ourselves to accomplish valuable activities, is built from paradigms that were fresh and relevant at the time it was conceived and from the fields of study from which it grew. However, when the…
Descriptors: Performance Technology, Human Factors Engineering, Performance Factors, Classification
Kvetan, Vladimir, Ed. – Cedefop - European Centre for the Development of Vocational Training, 2014
Reliable and consistent time series are essential to any kind of economic forecasting. Skills forecasting needs to combine data from national accounts and labour force surveys, with the pan-European dimension of Cedefop's skills supply and demand forecasts, relying on different international classification standards. Sectoral classification (NACE)…
Descriptors: Coping, Classification, Educational Change, Educational Practices
Hills, Christina, Ed. – APPA: Association of Higher Education Facilities Officers (NJ1), 2010
This paper features another expanded Web-based Facilities Performance Indicators Report (FPI). The purpose of APPA's Facilities Performance Indicators is to provide a representative set of statistics about facilities in educational institutions. The 2008-09 iteration of the Web-based Facilities Performance Indicators Survey was posted and…
Descriptors: Colleges, School Maintenance, Facility Guidelines, Educational Facilities
Peer reviewedKretz, Richard – Performance Improvement, 2002
Focuses on the comparative use of training from human performance technology (HPT) and traditional training perspectives, based on taxonomy. Concludes that the primary difference is a holistic systems performance improvement approach by eliminating barriers with HPT versus reaction or response to a set of business objectives in traditional…
Descriptors: Classification, Comparative Analysis, Holistic Approach, Organizational Objectives
Peer reviewedCowley-Durst, Barbara – Performance Improvement, 1999
Discusses knowledge management that seeks to minimize information overload in order to enhance performance. Highlights include the differences between data, information, and knowledge; the relationship between learning, knowledge, and performance; the use of focus groups; documenting results; and knowledge classification. (LRW)
Descriptors: Classification, Data, Focus Groups, Information Utilization
Cullen, Rowena – 1998
Taking a post-modern approach, this paper addresses the relevance of measurement and evaluation of libraries and information services. The following topics are discussed: (1) past and present approaches to performance measurement, including origins of measurement and landmarks of the past; (2) a conceptual framework for evaluation, including a…
Descriptors: Academic Libraries, Classification, Evaluation Criteria, Evaluation Methods

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