Do we have crystal balls? A case study of the possibility of predicting academic success using fsQCA

Kód výsledku v 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>

Výsledek na webu

<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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Jazyk výsledku

angličtina

Název v původním jazyce

Do we have crystal balls? A case study of the possibility of predicting academic success using fsQCA

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Do we have crystal balls? A case study of the possibility of predicting academic success using fsQCA

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

50204 - Business and management

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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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Počet stran výsledku

7

Strana od-do

215-221

Název nakladatele

Univerzita Palackého v Olomouci

Místo vydání

Olomouc

Místo konání akce

Olomouc

Datum konání akce

12. 11. 2020

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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