OU Portal
Log In
Welcome
Applicants
Z6_60GI02O0O8IDC0QEJUJ26TJDI4
>
Publ3 search
Error:
Javascript is disabled in this browser. This page requires Javascript. Modify your browser's settings to allow Javascript to execute. See your browser's documentation for specific instructions.
{}
Close
Publikační činnost
Probíhá načítání, čekejte prosím...
publicationId :
tempRecordId :
actionDispatchIndex :
navigationBranch :
pageMode :
tabSelected :
isRivValid :
Record type:
stať ve sborníku (D)
Home Department:
Ústav pro výzkum a aplikace fuzzy modelování (94410)
Title:
EVALUATING QUALITY OF LEARNING AT UNIVERSITY USING EXPERT SYSTEM
Citace
Walek, B. a Krížová, M. EVALUATING QUALITY OF LEARNING AT UNIVERSITY USING EXPERT SYSTEM.
In:
9th annual International Conference on Education and New Learning Technologies: EDULEARN17 Proceedings 2017-07-03 Barcelona.
Valencia: IATED Academy, 2017. s. 2106-2111. ISBN 978-84-697-3777-4.
Subtitle
Publication year:
2017
Obor:
Informatika
Number of pages:
6
Page from:
2106
Page to:
2111
Form of publication:
Elektronická verze
ISBN code:
978-84-697-3777-4
ISSN code:
2340-1117
Proceedings title:
EDULEARN17 Proceedings
Proceedings:
Mezinárodní
Publisher name:
IATED Academy
Place of publishing:
Valencia
Country of Publication:
Sborník vydaný v zahraničí
Název konference:
9th annual International Conference on Education and New Learning Technologies
Místo konání konference:
Barcelona
Datum zahájení konference:
Typ akce podle státní
příslušnosti účastníků:
Celosvětová akce
WoS code:
EID:
Key words in English:
quality of learning; expert system; fuzzy expert system; fuzzy logic; questionnaire; teacher; evaluation; university
Annotation in original language:
Nowadays, monitoring and evaluating quality of learning at university is very important. Low quality of learning at university can cause various problems (decrease the number of students, lower level of student´s satisfaction, etc.). Universities in the Czech Republic evaluates the quality of education through paper or online questionnaires with different number of questions and monitored areas. This paper deals with a proposal of a novel approach for evaluating quality of learning using fuzzy expert system. Proposed approach for evaluating quality of learning uses questionnaires created in cooperation with educational consultant at university. The questionnaires are divided into several parts based on the monitored areas. Proposed approach also uses special fuzzy expert system for evaluating quality of learning with knowledge bases for each monitored area. Another part of approach is visualization of evaluated areas for teacher and manager.
Annotation in english language:
References
Reference
R01:
RIV/61988987:17610/17:A1801N2Q
Complementary Content
Deferred Modules
${title}
${badge}
${loading}
Deferred Modules