Attribute Exploration in Formal Concept Analysis and Measuring of Pupils’ Computational Thinking
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F21%3A00121088" target="_blank" >RIV/00216224:14310/21:00121088 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-63872-6_8" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-63872-6_8</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-63872-6_8" target="_blank" >10.1007/978-3-030-63872-6_8</a>
Alternative languages
Result language
angličtina
Original language name
Attribute Exploration in Formal Concept Analysis and Measuring of Pupils’ Computational Thinking
Original language description
The exploration of structures, mappings and tools which allow us to analyze the data in various forms is a very actual and challenging task in a knowledge based approach towards digital intelligence society. The main objectives of our chapter are to describe the computational methods for generation of attribute implications in the field of formal concept analysis and to illustrate the process of attribute exploration for special types of object-attributes tables. Moreover, we proposed the own test for measuring of pupils’ computational thinking in several consecutive stages and collected data of 29,461 pupils regarding the national testing of pupils. We applied the partial attribute implications in formal concept analysis in order the analyze these real data of pupils’ computational thinking.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Towards Digital Intelligence Society
ISBN
9783030638719
ISSN
2194-5357
e-ISSN
2194-5365
Number of pages
21
Pages from-to
160-180
Publisher name
Springer GmbH
Place of publication
Cham
Event location
Prague
Event date
Jun 24, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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