Passive and Active Components of Working Memory and Transcription Skills among First-Graders

Transcription skills allow us to put spoken language into written text, and they entail handwriting processes and spelling knowledge. Handwriting and spelling are supported by different processes, but they are highly related. Additionally, both are directly supported by working memory (WM). The present study aims to examine how differently passive and active components of WM affect transcription (handwriting and spelling) among Italian beginner writers. We evaluated 395 Italian first-grade children (197 boys and 198 girls) with an average age of 6 years and 6 months (SD = 4.3 months) with five writing tasks (three handwriting tasks and two spelling tasks) and two WM tasks (passive components = span task; active components = selective span task). We computed a SEM analysis to investigate how differently the passive and active WM components affect the two spelling tasks both directly and via handwriting. Passive and active WM components directly affect handwriting; while spelling is directly affected by the active WM, and indirectly (via handwriting) by both WM components. These results confirmed the crucial role of handwriting in predicting spelling accuracy. In conclusion, current results show that the distinction between passive and active WM components is useful to understand how WM supports transcription processes.

Authors

Institutions

Publication Details

Journal
The Journal of Experimental Education
Published
2024-09-30
DOI
https://doi.org/10.1080/00220973.2024.2389887
Citations
1
Primary Topic
Writing and Handwriting Education
Type
article
Field-Weighted Citation Impact
2.10
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Passive and Active Components of Working Memory and Transcription Skills among First-Graders

Francesca De Vita, Anna Maria Re, Barbara Carretti, Gerardo Pellegrino et al.
1 citations
The Journal of Experimental Education
Writing and Handwriting Education
2.10
article

Passive and Active Components of Working Memory and Transcription Skills among First-Graders

Francesca De Vita, Anna Maria Re, Barbara Carretti, Gerardo Pellegrino, Eleonora Pizzigallo
article en
1 citations

Abstract

Transcription skills allow us to put spoken language into written text, and they entail handwriting processes and spelling knowledge. Handwriting and spelling are supported by different processes, but they are highly related. Additionally, both are directly supported by working memory (WM). The present study aims to examine how differently passive and active components of WM affect transcription (handwriting and spelling) among Italian beginner writers. We evaluated 395 Italian first-grade children (197 boys and 198 girls) with an average age of 6 years and 6 months (SD = 4.3 months) with five writing tasks (three handwriting tasks and two spelling tasks) and two WM tasks (passive components = span task; active components = selective span task). We computed a SEM analysis to investigate how differently the passive and active WM components affect the two spelling tasks both directly and via handwriting. Passive and active WM components directly affect handwriting; while spelling is directly affected by the active WM, and indirectly (via handwriting) by both WM components. These results confirmed the crucial role of handwriting in predicting spelling accuracy. In conclusion, current results show that the distinction between passive and active WM components is useful to understand how WM supports transcription processes.

The Journal of Experimental Education
University of Padua (IT), University of Turin (IT), University of Palermo (IT)
Reduced inequalities
Openalex Percentile: Top 12%
Writing and Handwriting Education
2.10
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.