Evaluation of the agricultural advisers' knowledge and assessment of the entrance expectations coefficient
Evaluation of the agricultural advisers' knowledge and assessment of the entrance expectations coefficient
release_bhstkukxvvgkjpgpbjiyk7qsva
by
J. Andrýsková,
T. Foltýnek
2012 Volume 52, Issue No. 9, p401-411
Abstract
Agricultural consultancy is the only way how to reach the money from the governmental or European sources for the most of the farmers. Therefore, education and competences of agricultural adviser forms one of the direct determinants of farmers economical success. This fact produces demand of the agricultural advisers’ knowledge measurement and press for their increasing. The AAC (Agriculture Advisory Competency) is a measurable value indicating the adviser’s knowledge and competency. Its purpose is to show the expected quality of potential consultancy services depending on the agricultural adviser’s education, experience, frequency of the knowledge improvement and past outcomes of his/her work. If the existence of the MAP (Management Advisory Portal) overviewing all adviser’s activity and managing the complex educational process including the knowledge testing is supposed, the value of the AAC can be assessed and actualized continuously, based on the fixed criteria. The assessment of the multidimensional model for the initial value calculation and its following actualization depending on the events invoked by every adviser individually or coming from the outside was the subject of the research.
In application/xml+jats
format
Archived Files and Locations
application/pdf
2.4 MB
file_5t23dn3qxvff5a6x6w35yqo6fq
|
web.archive.org (webarchive) www.agriculturejournals.cz (web) |
article-journal
Stage
published
Date 2012-02-17
Open Access Publication
In DOAJ
In ISSN ROAD
In Keepers Registry
ISSN-L:
0139-570X
access all versions, variants, and formats of this works (eg, pre-prints)
Crossref Metadata (via API)
Worldcat
SHERPA/RoMEO (journal policies)
wikidata.org
CORE.ac.uk
Semantic Scholar
Google Scholar