Publication details
Attribute Exploration in Formal Concept Analysis and Measuring of Pupils’ Computational Thinking
| Authors | |
|---|---|
| Year of publication | 2021 |
| Type | Article in Proceedings |
| Conference | Towards Digital Intelligence Society |
| MU Faculty or unit | |
| Citation | |
| web | https://link.springer.com/chapter/10.1007/978-3-030-63872-6_8 |
| Doi | http://dx.doi.org/10.1007/978-3-030-63872-6_8 |
| Keywords | Attribute implications; Attribute exploration; Formal concept analysis; Computational thinking |
| 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. |