Informatics in Education logo


Login Register

  1. Home
  2. Issues
  3. Volume 20, Issue 4 (2021)
  4. A Comparison of Abstraction and Algorith ...

Informatics in Education

INFORMATION Submit your article Help
  • Article info
  • Related articles
  • More
    Article info Related articles

A Comparison of Abstraction and Algorithmic Tasks Used in Bebras Challenge
Volume 20, Issue 4 (2021), pp. 717–736
Jiří VANÍČEK   Václav ŠIMANDL   Patrik KLOFÁČ  

Authors

 
Placeholder
https://doi.org/10.15388/infedu.2021.30
Pub. online: 5 August 2022      Type: Article      Open accessOpen Access

Published
5 August 2022

Abstract

This paper focuses on the analysis of Bebras Challenge tasks to find Informatics tasks that develop abstract thinking. Our study seeks to find which Bebras tasks develop abstraction and in what way. We analysed hundreds of tasks from the Czech contest to identify those tasks requiring participants to abstract directly or use abstract structures. Results show that an agreement among experts on stating which task is focused on abstraction is at a moderate level. We discovered that tasks focused on abstraction occur four to five times less frequently in sets of contest tasks than algorithmic tasks. Our findings proved that abstract tasks results compared with algorithmic ones did not differ in neither age nor gender group of contestants.

Related articles PDF XML
Related articles PDF XML

Copyright
No copyright data available.
Open access article under the CC BY license.

Keywords
computer science education secondary school Bebras Challenge abstract tasks task difficulty gender comparison age comparison

Metrics
since February 2020
1273

Article info
views

0

Full article
views

825

PDF
downloads

205

XML
downloads

Export citation

Copy and paste formatted citation
Placeholder

Download citation in file


Share


RSS

INFORMATICS IN EDUCATION

  • Online ISSN: 2335-8971
  • Print ISSN: 1648-5831
  • Copyright © 2024 Vilnius University
  •  

For contributors

  • Submit
  • OA Policy

Contact us

  • Institute of Data Science and Digital Technologies,
  • Vilnius University, Akademijos St. 4, 08412, Vilnius, Lithuania
  • E-mail: gabriele.stupuriene@mif.vu.lt
Powered by PubliMill  •  Privacy policy