Paper-based vs. AI computer-based test results

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F19%3AA20023WB" target="_blank" >RIV/61988987:17310/19:A20023WB - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1063/1.5114044" target="_blank" >http://dx.doi.org/10.1063/1.5114044</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1063/1.5114044" target="_blank" >10.1063/1.5114044</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Paper-based vs. AI computer-based test results

Popis výsledku v původním jazyce

The concept of this paper focuses on the area of testing university students while using tools of artificial intelligence. The sample set of students were students of the third year of bachelor studies of Applied Informatics and the test was focused on testing English: grammar, vocabulary, IT English. The introductory part describes current possible ways of testing students, mainly in paper- or computer-based tests. The paper-based method is the traditional one while the computer-based one can take advantage of modern tools of artificial intelligence, such as expert systems and neural networks. The core of this paper lies in the comparison of the results that are acquired from paper-based and computer-based testing which uses artificial intelligence tools. The final part envisages the most optimal ways of testing university students.

Název v anglickém jazyce

Paper-based vs. AI computer-based test results

Popis výsledku anglicky

The concept of this paper focuses on the area of testing university students while using tools of artificial intelligence. The sample set of students were students of the third year of bachelor studies of Applied Informatics and the test was focused on testing English: grammar, vocabulary, IT English. The introductory part describes current possible ways of testing students, mainly in paper- or computer-based tests. The paper-based method is the traditional one while the computer-based one can take advantage of modern tools of artificial intelligence, such as expert systems and neural networks. The core of this paper lies in the comparison of the results that are acquired from paper-based and computer-based testing which uses artificial intelligence tools. The final part envisages the most optimal ways of testing university students.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

nternational Conference on Numerical Analysis and Applied Mathematics 2018

ISBN

978-073541854-7

ISSN

0094-243X

e-ISSN

—

Počet stran výsledku

4

Strana od-do

—

Název nakladatele

American Institute of Physics

Místo vydání

Greece

Místo konání akce

Sheraton Rhodes ResortRhodes

Datum konání akce

1. 1. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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