Diagnostics of the Student's Learning Style With the Use of Modern Information Technologies

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F26867184%3A_____%2F13%3A005" target="_blank" >RIV/26867184:_____/13:005 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Diagnostics of the Student's Learning Style With the Use of Modern Information Technologies

Popis výsledku v původním jazyce

The paper deals with learning styles and their initial diagnostics in the process of a student?s learning. It is focused on a method of learning styles recognition with the support of modern information technologies. The paper analyses different methodsof the learning styles diagnostics, incorporating this issue into the scientific field of artificial intelligence and presents an idea on how to diagnose a learning style by using an unconventional fuzzy logic linguistic expert system. The expert systemwas designed to diagnose learning styles of university students in adaptive compute-aided learning systems. A significant benefit is continuous numerical evaluation of a student?s degree of affiliation to all learning categories (types of student) with apossibility of simple determination of dominant and subdominant types, the use of a linguistic rule-based decision-making model which is completely transparent and open, and the use of a decision-making procedure corresponding with the p

Název v anglickém jazyce

Diagnostics of the Student's Learning Style With the Use of Modern Information Technologies

Popis výsledku anglicky

The paper deals with learning styles and their initial diagnostics in the process of a student?s learning. It is focused on a method of learning styles recognition with the support of modern information technologies. The paper analyses different methodsof the learning styles diagnostics, incorporating this issue into the scientific field of artificial intelligence and presents an idea on how to diagnose a learning style by using an unconventional fuzzy logic linguistic expert system. The expert systemwas designed to diagnose learning styles of university students in adaptive compute-aided learning systems. A significant benefit is continuous numerical evaluation of a student?s degree of affiliation to all learning categories (types of student) with apossibility of simple determination of dominant and subdominant types, the use of a linguistic rule-based decision-making model which is completely transparent and open, and the use of a decision-making procedure corresponding with the p

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

AH - Ekonomie

OECD FORD obor

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Projekt

<a href="/cs/project/GAP403%2F12%2F1811" target="_blank" >GAP403/12/1811: Vývoj nekonvenčních metod manažerského rozhodování v oblasti podnikové ekonomiky a veřejné ekonomie</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název periodika

The New Educational Review

ISSN

1732-6729

e-ISSN

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Svazek periodika

34

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

PL - Polská republika

Počet stran výsledku

14

Strana od-do

174-187

Kód UT WoS článku

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EID výsledku v databázi Scopus

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