Cargando…

Reconceptualizing Symbolic Magnitude Estimation Training Using Non-declarative Learning Techniques

It is well-documented that mathematics achievement is an important predictor of many positive life outcomes like college graduation, career opportunities, salary, and even citizenship. As such, it is important for researchers and educators to help students succeed in mathematics. Although there are...

Descripción completa

Detalles Bibliográficos
Autores principales: Graham, Erin N., Was, Christopher A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8055935/
https://www.ncbi.nlm.nih.gov/pubmed/33889112
http://dx.doi.org/10.3389/fpsyg.2021.638004
_version_ 1783680544885702656
author Graham, Erin N.
Was, Christopher A.
author_facet Graham, Erin N.
Was, Christopher A.
author_sort Graham, Erin N.
collection PubMed
description It is well-documented that mathematics achievement is an important predictor of many positive life outcomes like college graduation, career opportunities, salary, and even citizenship. As such, it is important for researchers and educators to help students succeed in mathematics. Although there are undoubtedly many factors that contribute to students' success in mathematics, much of the research and intervention development has focused on variations in instructional techniques. Indeed, even a cursory glance at many educational journals and granting agencies reveals that there is a large amount of time, energy, and resources being spent on determining the best way to convey information through direct, declarative instruction. The proposed project is motivated by recent calls to expand the focus of research in mathematics education beyond direct, declarative instruction. The overarching goal of the presented experiment is to evaluate the efficacy of a novel mathematics intervention designed using principles taken from the literature on non-declarative learning. The intervention combines errorless learning and structured cue fading to help second grade students improve their understanding of symbolic magnitude. Results indicate that students who learned about symbolic magnitude using the novel intervention did better than students who were provided with extensive declarative support. These findings offer preliminary evidence in favor of using learning combination of errorless learning and cue fading techniques in the mathematics classroom.
format Online
Article
Text
id pubmed-8055935
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-80559352021-04-21 Reconceptualizing Symbolic Magnitude Estimation Training Using Non-declarative Learning Techniques Graham, Erin N. Was, Christopher A. Front Psychol Psychology It is well-documented that mathematics achievement is an important predictor of many positive life outcomes like college graduation, career opportunities, salary, and even citizenship. As such, it is important for researchers and educators to help students succeed in mathematics. Although there are undoubtedly many factors that contribute to students' success in mathematics, much of the research and intervention development has focused on variations in instructional techniques. Indeed, even a cursory glance at many educational journals and granting agencies reveals that there is a large amount of time, energy, and resources being spent on determining the best way to convey information through direct, declarative instruction. The proposed project is motivated by recent calls to expand the focus of research in mathematics education beyond direct, declarative instruction. The overarching goal of the presented experiment is to evaluate the efficacy of a novel mathematics intervention designed using principles taken from the literature on non-declarative learning. The intervention combines errorless learning and structured cue fading to help second grade students improve their understanding of symbolic magnitude. Results indicate that students who learned about symbolic magnitude using the novel intervention did better than students who were provided with extensive declarative support. These findings offer preliminary evidence in favor of using learning combination of errorless learning and cue fading techniques in the mathematics classroom. Frontiers Media S.A. 2021-04-06 /pmc/articles/PMC8055935/ /pubmed/33889112 http://dx.doi.org/10.3389/fpsyg.2021.638004 Text en Copyright © 2021 Graham and Was. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Graham, Erin N.
Was, Christopher A.
Reconceptualizing Symbolic Magnitude Estimation Training Using Non-declarative Learning Techniques
title Reconceptualizing Symbolic Magnitude Estimation Training Using Non-declarative Learning Techniques
title_full Reconceptualizing Symbolic Magnitude Estimation Training Using Non-declarative Learning Techniques
title_fullStr Reconceptualizing Symbolic Magnitude Estimation Training Using Non-declarative Learning Techniques
title_full_unstemmed Reconceptualizing Symbolic Magnitude Estimation Training Using Non-declarative Learning Techniques
title_short Reconceptualizing Symbolic Magnitude Estimation Training Using Non-declarative Learning Techniques
title_sort reconceptualizing symbolic magnitude estimation training using non-declarative learning techniques
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8055935/
https://www.ncbi.nlm.nih.gov/pubmed/33889112
http://dx.doi.org/10.3389/fpsyg.2021.638004
work_keys_str_mv AT grahamerinn reconceptualizingsymbolicmagnitudeestimationtrainingusingnondeclarativelearningtechniques
AT waschristophera reconceptualizingsymbolicmagnitudeestimationtrainingusingnondeclarativelearningtechniques