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Short Tasks for Scaffolding Computational Thinking by the Global Bebras Challenge

Author

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  • Valentina Dagiene

    (Institute of Data Science and Digital Technologies, Vilnius University, Akademijos Str. 4, LT-08412 Vilnius, Lithuania)

  • Vladimiras Dolgopolovas

    (Institute of Data Science and Digital Technologies, Vilnius University, Akademijos Str. 4, LT-08412 Vilnius, Lithuania)

Abstract

The short task methodology enhances the Bebras constructive environment, and provides an emotional context that triggers the convolution of initially biased mental models and corresponding emotional reactions into an unbiased set of conceptual models for informatics education. This provides the motivation of our research–to explore the process of pedagogical design of short informatics concept-based tasks from the standpoint of mindset formation, which allows one to build conceptual models for CT education. The aim of the research is to gain a conceptual understanding of what a short task is in the context of the global Bebras Challenge initiative. We explore the principles which should underlie the pedagogical design of short tasks for informatics education that scaffold CT. Exploration of a number of practical examples of the Bebras short tasks is the background of our research methodology. The results include an analysis of the structure of short tasks, focusing on the interaction of mental models, conceptual models, and heuristics inherent in the task design. The discussion provides a comprehensive insight into the issues of the short tasks in relation to CT and the Bebras environment. We conclude with recommendations for organizing an effective pedagogical design of a short task.

Suggested Citation

  • Valentina Dagiene & Vladimiras Dolgopolovas, 2022. "Short Tasks for Scaffolding Computational Thinking by the Global Bebras Challenge," Mathematics, MDPI, vol. 10(17), pages 1-30, September.
  • Handle: RePEc:gam:jmathe:v:10:y:2022:i:17:p:3194-:d:906366
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    References listed on IDEAS

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    1. Vladimiras Dolgopolovas & Valentina Dagiene, 2022. "On Semiotics Perspectives of Computational Thinking: Unravelling the “Pamphlet” Approach, a Case Study," Sustainability, MDPI, vol. 14(4), pages 1-22, February.
    2. Vladimiras Dolgopolovas & Valentina Dagiene, 2021. "On the Future of Computational Thinking Education: Moving beyond the Digital Agenda, a Discourse Analysis Perspective," Sustainability, MDPI, vol. 13(24), pages 1-21, December.
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