Do we have crystal balls? A case study of the possibility of predicting academic success using fsQCA
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15210%2F20%3A73602345" target="_blank" >RIV/61989592:15210/20:73602345 - isvavai.cz</a>
Result on the web
<a href="https://knowledgeconference.upol.cz/downloads/KNOWCON%202020%20-%20Conference%20proceedings.pdf" target="_blank" >https://knowledgeconference.upol.cz/downloads/KNOWCON%202020%20-%20Conference%20proceedings.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Do we have crystal balls? A case study of the possibility of predicting academic success using fsQCA
Original language description
This paper explores the possibilities of using the fuzzified consistency and coverage measures recently proposed by Stoklasa, Luukka, and Talášek in the processing of data on the academic success of a specific sample of university students. We analyse the available data, its quality, completeness, and sufficiency for the given purpose, identify possible reasonable (expert) rules that should be able to predict academic success within this group of students, and evaluate these rules on available data. We also perform a search for the most appropriate rules available in the data for academic success prediction and discuss the results in the context of university admission exams, the design, and the optimization thereof. From the results, we draw conclusions concerning the possibility of prediction of academic success of admitted students. We also analyse the possibility of prediction of academic failure in order to be able to optimize the admission process such that the university resources are not wasted.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50204 - Business and management
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
KNOWCON 2020, Knowledge on Economics and Management, Conference Proceedings
ISBN
978-80-244-5798-7
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
215-221
Publisher name
Univerzita Palackého v Olomouci
Place of publication
Olomouc
Event location
Olomouc
Event date
Nov 12, 2020
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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