Preservice Music Teachers’ Soundscape Memories as Indicators of Musical Eco-Literacy

This study investigates preservice music teachers’ meaningful soundscape memories and how these memories reflect students’ general musical eco-literacy. We ask: Do sound memories reflect the factors in the Paananen model of eco-literacy? A theory-driven content analysis was performed based on the Paananen model’s competency categories. The data entries were analyzed using repeated measures analysis of variance. Fleiss’ kappa was used to check for inter-rater agreement. The competency areas of the Paananen model of eco-literacy in music were present in the university students’ narratives of meaningful soundscape memories. Recognition of eco-literacy from the soundscape narratives was statistically significantly different between the different competency factors, F (3.37, 236.00) = 71.79, p < .001, partial η 2 = .51. Meaningful soundscape memories as written assignments emphasize the cognitive and emotional competency factors in the eco-literate musical thinking of preservice music teachers. A large proportion of the sound memories reflected a strong sense of connection to the natural environment, was positively connected to nature, and depicted a concrete, specific location. Therefore, soundscape memories could be a pedagogical tool for promoting place-specific eco-literacy in the musical sense and in the sense of living an eco-literate life.

Authors

Institutions

Publication Details

Journal
International Journal of Music Education
Published
2025-12-01
DOI
https://doi.org/10.1177/02557614251396903
Primary Topic
Environmental Education and Sustainability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Preservice Music Teachers’ Soundscape Memories as Indicators of Musical Eco-Literacy

Marja Ervasti, Pirkko Paananen, Tua Hakanpää
International Journal of Music Education
Environmental Education and Sustainability
article

Preservice Music Teachers’ Soundscape Memories as Indicators of Musical Eco-Literacy

Marja Ervasti, Pirkko Paananen, Tua Hakanpää
article en

Abstract

This study investigates preservice music teachers’ meaningful soundscape memories and how these memories reflect students’ general musical eco-literacy. We ask: Do sound memories reflect the factors in the Paananen model of eco-literacy? A theory-driven content analysis was performed based on the Paananen model’s competency categories. The data entries were analyzed using repeated measures analysis of variance. Fleiss’ kappa was used to check for inter-rater agreement. The competency areas of the Paananen model of eco-literacy in music were present in the university students’ narratives of meaningful soundscape memories. Recognition of eco-literacy from the soundscape narratives was statistically significantly different between the different competency factors, F (3.37, 236.00) = 71.79, p < .001, partial η 2 = .51. Meaningful soundscape memories as written assignments emphasize the cognitive and emotional competency factors in the eco-literate musical thinking of preservice music teachers. A large proportion of the sound memories reflected a strong sense of connection to the natural environment, was positively connected to nature, and depicted a concrete, specific location. Therefore, soundscape memories could be a pedagogical tool for promoting place-specific eco-literacy in the musical sense and in the sense of living an eco-literate life.

International Journal of Music Education
University of Turku (FI), University of Oulu (FI)
Openalex Percentile: Top 52%
Environmental Education and Sustainability
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.