GOOGLE COLAB AS A TOOL FOR DEVELOPING ALGORITHMIC THINKING IN COMPUTER SCIENCE LESSONS

L. A. Kritsuk

FULL TEXT: PDF (Rus)

Abstract

The article explores the didactic potential of the Google Colab cloud development environment for developing students' algorithmic thinking. A comparative analysis with traditional approaches to teaching programming revealed the key advantages of the platform: minimal setup costs, integration of theoretical material, code, and results in a single document, built-in support for collaboration. A three-stage model for integrating Google Colab into computer science lessons has been developed. Methodological recommendations for computer science teachers are proposed.

Key words

Google Colab, algorithmic thinking, cloud technologies, teaching methodology, Python, theoretical model.

Received: 10/27/2025; accepted for publication: 11/10/2025.

For citation:

________________________________________

Kritsuk L.A. GOOGLE COLAB as a tool for developing algorithmic thinking in computer science lessons. Electronic scientific and methodological journal “Pedagogy of computer science”. 2025;1-2. Http://pcs.bsu.by/2025_1-2/4ru.pdf

Content is available under license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

About the authors:

L.A. Kritsuk
State educational institution «Minsk City Institute of Educational Development»
The Republic of Belarus
Kritsuk Lydia – methodist; kritsuk@minsk.edu.by
Bronevoy per., 15A; 220035, Minsk, Republic of Belarus

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