MENTAL STRUCTURES AND MECHANISMS THAT FROM AGEOMETRIC PERSPECTIVE MODEL AND ARTICULATE THE LEARNING OF EIGENVALUE AND EIGENVECTOR IN R2

Roa-Fuentes, Solange; Jindnez Alarcon, Raul; Betancur Sanchez, Alexander

Abstract

Two refined genetic decompositions (DGs) are proposed, as a result of the application of the APOS Research Cycle, which describe mental struct ures and mechanisms for the concept of value and eigenvector in t wo case st udies. The f irst DG0 models the prior knowledge that high school st udents (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 const r uction of eigenvalue and eigenvector in f irst-year 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.

Más información

Título según WOS: MENTAL STRUCTURES AND MECHANISMS THAT FROM AGEOMETRIC PERSPECTIVE MODEL AND ARTICULATE THE LEARNING OF EIGENVALUE AND EIGENVECTOR IN R2
Título según SCOPUS: Mental structures and mechanisms that from a geometric perspective model and articulate the learning of eigenvalue and eigenvector in R2
Título de la Revista: Revista Latinoamericana de Investigacion en Matematica Educativa
Volumen: 25
Número: 1
Editorial: Comite Latinoamericano de Matematica Educativa
Fecha de publicación: 2022
Página final: 92
Idioma: Spanish
DOI:

10.12802/relime.22.2513

Notas: ISI, SCOPUS