Self-Regulated Learning and Working Memory Determine Problem-Solving Accuracy in Math

Paula Da Costa Ferreira, Aristides I. Ferreira, Ana Margarida Vieira Da Veiga Simão, Rui Prada, Ana Paula Paulino, Ricardo Rodrigues

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

This study aims to understand the role of self-regulated learning (SRL) and its different processes in the relationship between working memory (WM) and problem-solving accuracy in math in primary school children. A sample of 269 primary school children (M age = 8.84, SD = 0.81, 58% boys) participated in this study. Tasks were used as intervention resources to assess children's WM (i.e., reading and computation span tasks), SRL (i.e., a digital game), and performance (i.e., the performance in the game, as well as a traditional math problem). Through structural equation modeling, results revealed that WM predicted children's SRL and their problem-solving accuracy in math, such that those with higher capability for temporary storage attained better accuracy. Accordingly, children's SRL explained the relationship between WM capacity and problem-solving accuracy in math; such that the indirect effect of WM capacity through SRL was lower on problem-solving accuracy in math. Results indicated that the planning phase was a greater indicator of students' SRL in problem-solving accuracy in math. These results highlight the importance of SRL competencies in explaining children's performance in problem-solving in math.

Original languageEnglish
Article numbere23
JournalSpanish Journal of Psychology
Volume25
Issue number6
DOIs
Publication statusPublished - 26 Sept 2022

Bibliographical note

Publisher Copyright:
© Universidad Complutense de Madrid and Colegio Oficial de Psicólogos de Madrid 2022.

Keywords

  • primary school children
  • problem-solving in math
  • self-regulated learning
  • working memory capacity

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