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- Title
ESTRUCTURAS Y MECANISMOS MENTALES QUE DESDE UNA PERSPECTIVA GEOMÉTRICA MODELAN Y ARTICULAN EL APRENDIZAJE DE VALOR Y VECTOR PROPIO EN R².
- Authors
PARRAGUEZ GONZÁLEZ, MARCELA; ROA-FUENTES, SOLANGE; JIMÉNEZ ALARCÓN, RAÚL; BETANCUR SÁNCHEZ, ALEXANDER
- Abstract
Two refined genetic decompositions (DGs) are proposed, as a result of the application of the APOS Research Cycle, which describe mental structures and mechanisms for the concept of value and eigenvector in two case studies. The first DG0 models the prior knowledge that high school students (14 - 16 years old) must achieve in R2 order to build this concept in the university --this model is based on vector rotation and the concept of scalar multiple--. The second DG1 models in R2 the construction of eigenvalue and eigenvector in firstyear university students and shows how to rely on secondary education to structure that concept from relationships between the linear transformation and the scalar multiple vector as a generator of a line. The data analysis allows to validate the DG's and outline a cognitive path for learning the concept of eigenvalue and eigenvector in R2.
- Subjects
EIGENVECTOR Research Inc.; THEORY of knowledge; HIGH school students
- Publication
Revista Latinoamericana de Investigación en Matemática Educativa, 2022, Vol 25, Issue 1, p63
- ISSN
1665-2436
- Publication type
Article
- DOI
10.12802/relime.22.2513