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Development and Validation of Learning Objects Aimed at Mathematical Instructions Based on Computational Thinking

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Jeanne Dobgenski; Maria Elisabette Brisola Brito Prado; Angélica da Fontoura Garcia Silva – International Electronic Journal of Mathematics Education, 2025

By integrating computational thinking (CT) based mathematical reasoning with early childhood education through programming a dinosaur game in Scratch, this study aims to enhance the pedagogical skills of pre-service teachers by using learning objects (LOs). Also, explores frameworks for LOs construction to align with pedagogical goals, emphasizing…

Descriptors: Mathematics Instruction, Teaching Methods, Outcomes of Education, Problem Solving

Proceedings of the International Conference on Educational Data Mining (EDM) (13th, Online, July 10-13, 2020)

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Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020

The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…

Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing

Proceedings of the International Conference on Educational Data Mining (EDM) (12th, Montreal, Canada, July 2-5, 2019)

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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019

The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…

Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis