Using Assignment Models to Analyze Programming Performance
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F14%3A50002957" target="_blank" >RIV/62690094:18450/14:50002957 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Using Assignment Models to Analyze Programming Performance
Original language description
Dehnadi et al. developed a programming aptitude test, which aims to predict, without requiring any prior programming experience, whether a person can become a programmer. The test results, however, do not seem to have the promised predictive power. Various authors have shown that the test cannot be used to predict programming aptitude with sufficient precision. This article analyses Dehnadi´s test from a different perspective - we use the same set of questions and answers and try to devise an alternative evaluation method based on statistical methods.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
AM - Pedagogy and education
OECD FORD branch
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Result continuities
Project
<a href="/en/project/EE2.3.45.0014" target="_blank" >EE2.3.45.0014: Science at Your Fingertips</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Efficiency and responsibility in education : proceedings of 11th International conference
ISBN
978-80-213-2468-8
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
571-576
Publisher name
Česká zemědělská univerzita
Place of publication
Praha
Event location
Praha
Event date
Jun 5, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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