Application of Particle Swarm Optimization to Create Multiple-Choice Tests
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10241900" target="_blank" >RIV/61989100:27240/18:10241900 - isvavai.cz</a>
Result on the web
<a href="http://www.airitilibrary.com/Publication/alDetailedMesh?DocID=10162364-201811-201811050001-201811050001-1405-1423" target="_blank" >http://www.airitilibrary.com/Publication/alDetailedMesh?DocID=10162364-201811-201811050001-201811050001-1405-1423</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.6688/JISE.201811_34(6).0004" target="_blank" >10.6688/JISE.201811_34(6).0004</a>
Alternative languages
Result language
angličtina
Original language name
Application of Particle Swarm Optimization to Create Multiple-Choice Tests
Original language description
Generating tests from question banks by using manually extracted items or involving random method consumes a great deal of time and effort. At the same time, the quality of the resulting tests is often not high. The generated tests may not entirely meet the requirements formulated in advance. Therefore, this study develops innovative ways to enhance this process by optimizing the execution time and generating results that closely meet the extraction requirements. The paper proposes the use of Particle Swarm Optimization (PSO) to generate multiple-choice tests based on assumed objective levels of difficulty. The experimental results reveal that PSO speed-ups the extraction process, and improves the quality of tests in comparison with the results produced by previously used methods such as Random or Genetic Algorithm (GA) optimized methods. In addition, PSO shows to be more efficient than GA and random selection in most criteria, such as execution time, search space, stability, and standard deviation.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Information Science and Engineering
ISSN
1016-2364
e-ISSN
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Volume of the periodical
34
Issue of the periodical within the volume
6
Country of publishing house
TW - TAIWAN (PROVINCE OF CHINA)
Number of pages
19
Pages from-to
1405-1423
UT code for WoS article
000451364100004
EID of the result in the Scopus database
2-s2.0-85056740523