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Learning from Evaluations

Effects of the Evaluation of the Swiss Energy 2000 Programme

Bibliographic Data

ID12567409
AuthorsAndreas Balthasar (0000-0002-9311-022X, Institute for Policy Studies, Lucerne, Switzerland, corresponding author), Stefan Rieder (0000-0002-4658-2187, Institute for Policy Studies, Lucerne, Switzerland)
Year2000
Volume6
Issue3
Pages245-260
Publication date2000-07-01
Open AccessYes
TypeARTICLE
VenueEvaluation (JOURNAL)
Journal identifiersISSN: 1356-3890 • E-ISSN: 1461-7153
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/13563890022209271
OpenAlexW2043492219
LanguageEN
Citations received10
References cited9

This article presents select results of a study on the forms and the conditions of learning through evaluation, based on case studies of evaluations of the Swiss Energy 2000 Programme. Taking into account current approaches to learning theory, the analysis makes it clear that evaluations trigger different kinds of learning effects that act on different levels. The study concludes that the majority of effects on the operational level concerning the programme's fine-tuning (i.e. development of guidelines for implementation, optimization of the database, clarifying target groups etc.) are essentially dependent on how well the evaluators and their commissioning clients accomplish their tasks. The most relevant factors influencing direct learning from evaluation are thus: the involvement of affected parties in the formulation of the evaluation questions, the use of feedback circuits during the course of the evaluation and the production of a report whose language is appropriate to its intended audience. Effects at the strategic and structural level are equally positively influenced by the abovementioned factors. However, they also depend on the occurrence of socalled ‘windows of opportunity’. Although evaluators and their clients cannot control these, they can try to take advantage of them when they occur

Control (management · Management science · Political science · Process management · Project commissioning · Publishing · Computer Science · Educational Assessment and Improvement · Engineering · Evaluation and Performance Assessment · Psychology · Artificial Intelligence

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Citations per year0.42
Citation span2002 - 2025 (24)
Highly citedNo

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