Digitala Vetenskapliga Arkivet

Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
BeLLE: Detecting National Differences in Computational Thinking and Computer Science Through an International Challenge
Turku Research Institute for Learning Analytics, University of Turku, Turku, Finland.ORCID iD: 0009-0004-3623-0729
Applied Mathematics Department, University of the Basque Country (UPV/EHU), Bilbao, Spain.ORCID iD: 0000-0002-2784-8496
KTH, School of Industrial Engineering and Management (ITM), Learning.ORCID iD: 0000-0002-5184-4743
Vilnius University, Institute of Educational Sciences, Vilnius, Lithuania.ORCID iD: 0000-0002-3955-4751
Show others and affiliations
2025 (English)In: Creative Mathematical Sciences Communication - 7th International Conference, CMSC 2024, Proceedings, Springer Nature , 2025, Vol. 15229 LNCS, p. 168-182Conference paper, Published paper (Refereed)
Abstract [en]

The Bebras challenge is an international initiative to engage school pupils with computer science and computational thinking via an annual challenge designed by computer science experts and educators. BeLLE is an international consortium focusing on international comparisons of standard challenge task banks. The consortium uses the ViLLE platform to manage the challenge as it offers a digital exercise-based learning environment with comprehensive learning analytics. The goal is to learn more about students’ knowledge in computer science and computational thinking in order to provide information for curriculum development and other educational planning and research. BeLLE started in 2021 with a pilots in Hungary and India. After the successful pilot, the consortium expanded substantially in the following year, many multiple choice questions were transformed into interactive tasks, and the process of organizing the challenge in ViLLE was refined. In this paper, we present some results of the challenge conducted within the BeLLE consortium in 2022. Over 90,000 students (47 % girls, 53 % boys) participated in the challenge in total through BeLLE. The results show that most students across countries and age groups get less than half of the maximum scores. The difference between girls and boys become apparent in Hungary and Lithuania: in the two oldest age groups (14–16 and 16–19 years old) boys score higher than girls. The time spent on the challenge is often 30 to 40 min with a difference between girls and boys in Hungary and Lithuania: boys use either less or more time than girls.

Place, publisher, year, edition, pages
Springer Nature , 2025. Vol. 15229 LNCS, p. 168-182
Keywords [en]
challenge, computational thinking, computer science, gender difference
National Category
Pedagogy
Identifiers
URN: urn:nbn:se:kth:diva-385478DOI: 10.1007/978-3-031-73257-7_14Scopus ID: 2-s2.0-85206483210OAI: oai:DiVA.org:kth-385478DiVA, id: diva2:2086498
Conference
7th International Conference on Creative Mathematical Sciences Communication, CMSC 2024, Trier, Germany, October 7-10, 2024
Note

Part of ISBN 9783031732560

QC 20260714

Available from: 2026-07-14 Created: 2026-07-14 Last updated: 2026-07-14Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Kaarto, HeidiBilbao, JavierPears, ArnoldDagienė, ValentinaParviainen, MarikaPluhár, ZsuzsaLaakso, Mikko-Jussi
By organisation
Learning
Pedagogy

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 4 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf