Cargando…

Advancing the study of solving linear equations with negative pronumerals: A smarter way from a cognitive load perspective

Central to cognitive load theory is the concept of element interactivity, which reflects the complexity of material. The complexity of linear equations depends on the number of operational and relational lines and the nature of the operation (balance versus inverse) in the solution procedure. A rela...

Descripción completa

Detalles Bibliográficos
Autores principales: Ngu, Bing H., Phan, Huy P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8932579/
https://www.ncbi.nlm.nih.gov/pubmed/35303013
http://dx.doi.org/10.1371/journal.pone.0265547
_version_ 1784671470936391680
author Ngu, Bing H.
Phan, Huy P.
author_facet Ngu, Bing H.
Phan, Huy P.
author_sort Ngu, Bing H.
collection PubMed
description Central to cognitive load theory is the concept of element interactivity, which reflects the complexity of material. The complexity of linear equations depends on the number of operational and relational lines and the nature of the operation (balance versus inverse) in the solution procedure. A relational line refers to the quantitative relation whereby the right-hand side of the equation equals to its left-hand side. An operational line refers to the application of an operation and such a procedural step preserves the equality of the linear equation. The balance method and inverse method differ in the operational line (e.g., + 3 on both sides vs.– 3 becomes + 3) where the inverse operation imposes half the level of element interactivity as the balance method. Seventy-five students randomly assigned to either the balance group or inverse group to complete (i) one-step equations (Experiment 1), (ii) two-step equations (Experiment 2), and (iii) one-step and two-step equations with a focus on equations with negative pronumerals (Experiment 3). Performance favoured the inverse group when the gap between the low and high element interactivity equations was substantial enough. Both groups performed better and invested lower mental effort on the inverse operation than the balance operation.
format Online
Article
Text
id pubmed-8932579
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-89325792022-03-19 Advancing the study of solving linear equations with negative pronumerals: A smarter way from a cognitive load perspective Ngu, Bing H. Phan, Huy P. PLoS One Research Article Central to cognitive load theory is the concept of element interactivity, which reflects the complexity of material. The complexity of linear equations depends on the number of operational and relational lines and the nature of the operation (balance versus inverse) in the solution procedure. A relational line refers to the quantitative relation whereby the right-hand side of the equation equals to its left-hand side. An operational line refers to the application of an operation and such a procedural step preserves the equality of the linear equation. The balance method and inverse method differ in the operational line (e.g., + 3 on both sides vs.– 3 becomes + 3) where the inverse operation imposes half the level of element interactivity as the balance method. Seventy-five students randomly assigned to either the balance group or inverse group to complete (i) one-step equations (Experiment 1), (ii) two-step equations (Experiment 2), and (iii) one-step and two-step equations with a focus on equations with negative pronumerals (Experiment 3). Performance favoured the inverse group when the gap between the low and high element interactivity equations was substantial enough. Both groups performed better and invested lower mental effort on the inverse operation than the balance operation. Public Library of Science 2022-03-18 /pmc/articles/PMC8932579/ /pubmed/35303013 http://dx.doi.org/10.1371/journal.pone.0265547 Text en © 2022 Ngu, Phan https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ngu, Bing H.
Phan, Huy P.
Advancing the study of solving linear equations with negative pronumerals: A smarter way from a cognitive load perspective
title Advancing the study of solving linear equations with negative pronumerals: A smarter way from a cognitive load perspective
title_full Advancing the study of solving linear equations with negative pronumerals: A smarter way from a cognitive load perspective
title_fullStr Advancing the study of solving linear equations with negative pronumerals: A smarter way from a cognitive load perspective
title_full_unstemmed Advancing the study of solving linear equations with negative pronumerals: A smarter way from a cognitive load perspective
title_short Advancing the study of solving linear equations with negative pronumerals: A smarter way from a cognitive load perspective
title_sort advancing the study of solving linear equations with negative pronumerals: a smarter way from a cognitive load perspective
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8932579/
https://www.ncbi.nlm.nih.gov/pubmed/35303013
http://dx.doi.org/10.1371/journal.pone.0265547
work_keys_str_mv AT ngubingh advancingthestudyofsolvinglinearequationswithnegativepronumeralsasmarterwayfromacognitiveloadperspective
AT phanhuyp advancingthestudyofsolvinglinearequationswithnegativepronumeralsasmarterwayfromacognitiveloadperspective