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Students’ learning growth in mental addition and subtraction: Results from a learning progress monitoring approach
The purpose of this study was to measure and describe students’ learning development in mental computation of mixed addition and subtraction tasks up to 100. We used a learning progress monitoring (LPM) approach with multiple repeated measurements to examine the learning curves of second-and third-g...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9742475/ https://www.ncbi.nlm.nih.gov/pubmed/36518966 http://dx.doi.org/10.3389/fpsyg.2022.944702 |
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author | Anderson, Sven Schurig, Michael Sommerhoff, Daniel Gebhardt, Markus |
author_facet | Anderson, Sven Schurig, Michael Sommerhoff, Daniel Gebhardt, Markus |
author_sort | Anderson, Sven |
collection | PubMed |
description | The purpose of this study was to measure and describe students’ learning development in mental computation of mixed addition and subtraction tasks up to 100. We used a learning progress monitoring (LPM) approach with multiple repeated measurements to examine the learning curves of second-and third-grade primary school students in mental computation over a period of 17 biweekly measurement intervals in the school year 2020/2021. Moreover, we investigated how homogeneous students’ learning curves were and how sociodemographic variables (gender, grade level, the assignment of special educational needs) affected students’ learning growth. Therefore, 348 German students from six schools and 20 classes (10.9% students with special educational needs) worked on systematically, but randomly mixed addition and subtraction tasks at regular intervals with an online LPM tool. We collected learning progress data for 12 measurement intervals during the survey period that was impacted by the COVID-19 pandemic. Technical results show that the employed LPM tool for mental computation met the criteria of LPM research stages 1 and 2. Focusing on the learning curves, results from latent growth curve modeling showed significant differences in the intercept and in the slope based on the background variables. The results illustrate that one-size-fits-all instruction is not appropriate, thus highlighting the value of LPM or other means that allow individualized, adaptive teaching. The study provides a first quantitative overview over the learning curves for mental computation in second and third grade. Furthermore, it offers a validated tool for the empirical analysis of learning curves regarding mental computation and strong reference data against which individual learning growth can be compared to identify students with unfavorable learning curves and provide targeted support as part of an adaptive, evidence-based teaching approach. Implications for further research and school practice are discussed. |
format | Online Article Text |
id | pubmed-9742475 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97424752022-12-13 Students’ learning growth in mental addition and subtraction: Results from a learning progress monitoring approach Anderson, Sven Schurig, Michael Sommerhoff, Daniel Gebhardt, Markus Front Psychol Psychology The purpose of this study was to measure and describe students’ learning development in mental computation of mixed addition and subtraction tasks up to 100. We used a learning progress monitoring (LPM) approach with multiple repeated measurements to examine the learning curves of second-and third-grade primary school students in mental computation over a period of 17 biweekly measurement intervals in the school year 2020/2021. Moreover, we investigated how homogeneous students’ learning curves were and how sociodemographic variables (gender, grade level, the assignment of special educational needs) affected students’ learning growth. Therefore, 348 German students from six schools and 20 classes (10.9% students with special educational needs) worked on systematically, but randomly mixed addition and subtraction tasks at regular intervals with an online LPM tool. We collected learning progress data for 12 measurement intervals during the survey period that was impacted by the COVID-19 pandemic. Technical results show that the employed LPM tool for mental computation met the criteria of LPM research stages 1 and 2. Focusing on the learning curves, results from latent growth curve modeling showed significant differences in the intercept and in the slope based on the background variables. The results illustrate that one-size-fits-all instruction is not appropriate, thus highlighting the value of LPM or other means that allow individualized, adaptive teaching. The study provides a first quantitative overview over the learning curves for mental computation in second and third grade. Furthermore, it offers a validated tool for the empirical analysis of learning curves regarding mental computation and strong reference data against which individual learning growth can be compared to identify students with unfavorable learning curves and provide targeted support as part of an adaptive, evidence-based teaching approach. Implications for further research and school practice are discussed. Frontiers Media S.A. 2022-11-28 /pmc/articles/PMC9742475/ /pubmed/36518966 http://dx.doi.org/10.3389/fpsyg.2022.944702 Text en Copyright © 2022 Anderson, Schurig, Sommerhoff and Gebhardt. 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 Anderson, Sven Schurig, Michael Sommerhoff, Daniel Gebhardt, Markus Students’ learning growth in mental addition and subtraction: Results from a learning progress monitoring approach |
title | Students’ learning growth in mental addition and subtraction: Results from a learning progress monitoring approach |
title_full | Students’ learning growth in mental addition and subtraction: Results from a learning progress monitoring approach |
title_fullStr | Students’ learning growth in mental addition and subtraction: Results from a learning progress monitoring approach |
title_full_unstemmed | Students’ learning growth in mental addition and subtraction: Results from a learning progress monitoring approach |
title_short | Students’ learning growth in mental addition and subtraction: Results from a learning progress monitoring approach |
title_sort | students’ learning growth in mental addition and subtraction: results from a learning progress monitoring approach |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9742475/ https://www.ncbi.nlm.nih.gov/pubmed/36518966 http://dx.doi.org/10.3389/fpsyg.2022.944702 |
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