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  4. Application of Machine Learning for the Development of Logical-Mathematical Thinking in Basic Education Students
 
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Application of Machine Learning for the Development of Logical-Mathematical Thinking in Basic Education Students

Journal
Lecture Notes in Networks and Systems
Information Technology and Systems
ISSN
2367-3370
2367-3389
Date Issued
2025
Author(s)
Diana, Peñuela
Facultad de Ciencias de la Educación
Castillo Salazar, David Ricardo
Facultad de Ciencias de la Educación
Cabrera López, Julio Rafael
Facultad de Ciencias de la Educación
Dario Castillo Salazar
Type
book-chapter
DOI
10.1007/978-3-031-93109-3_26
URL
https://cris.indoamerica.edu.ec/handle/123456789/9821
Abstract
The research involves upper basic education students in arguments related to Scratch software, focusing on teaching mathematics from the perspective of the theory that suggests learners construct their own knowledge through experience and reflection. Using Scratch and artificial intelligence processes to generate projects promotes active and meaningful learning. From this perspective, the goal is for students to develop logical-mathematical thinking, which is essential for analyzing, evaluating, and effectively applying information, thereby strengthening creativity and problem-solving skills centered on knowledge assessment. This approach allows for the application of theoretical and practical AI in educational software applications. The results indicate that mathematical competencies improve with the use of Scratch software. Additionally, the research identifies students’ skills and interest in the potential of AI technologies to enhance the understanding of computational mathematical concepts. The research concludes that the integration of the AI module in Scratch strengthens mathematical competencies in the field of education
Subjects
  • Artificial Intelligen...

  • Education

  • Machine Learning

  • Mathematics

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