Students' learning growth in mental addition and subtraction: Results from a learning progress monitoring approach.

Autor/inn/en	Anderson, Sven; Schurig, Michael; Sommerhoff, Daniel; Gebhardt, Markus
Titel	Students' learning growth in mental addition and subtraction: Results from a learning progress monitoring approach. Gefälligkeitsübersetzung: Lernfortschritt von Schülerinnen und Schülern bei der mentalen Addition und Subtraktion: Ergebnisse eines Ansatzes zur Lernfortschrittskontrolle.
Quelle	In: Frontiers in psychology, 13 (2022) Art. 944702, 18 S. PDF als Volltext kostenfreie Datei Link als defekt meldenVerfügbarkeit
Sprache	englisch
Dokumenttyp	online; Zeitschriftenaufsatz
ISSN	1664-1078
DOI	10.3389/fpsyg.2022.944702
Schlagwörter	Kognitiver Prozess; Pädagogische Diagnostik; Schule; Primarbereich; Schüler; Schülerin; Schülerleistung; Lernen; Lernzielorientierung; Mathematikunterricht; Individueller Unterschied; Kontrolle
Abstract	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. (ZPID).
Erfasst von	Leibniz-Institut für Psychologie, Trier
Update	2024/1