Innovative Sustainable Software Solutions for Green Fashion

The fashion and textiles industry is one of the most significant contributors to global carbon emissions and wastewater pollution. As a result, the fashion industry contributes significantly to climate change and water scarcity. Many studies have demonstrated that social networks and fast fashion marketing influence young people, often promoting unsustainable consumption habits. Environmental and green fashion education at all levels becomes imperative for dealing with this issue, as it promotes changes in consumer behaviour. In this paper, we propose to elaborate an e-Learning framework to teach children about sustainable fashion through interactive games, videos, and activities. This research will include focus group sessions and observation studies to investigate users’ perceptions and interaction patterns. The framework will provide equitable access to sustainability education and an outlook for future careers for children, which will help to address gaps in current educational resources and leverage technology to scale impact. This might be especially useful for children in rural and remote areas as well as children who face socioeconomic disadvantage. The future direction of research will include an analysis of interaction patterns with respect to learning results, as well as an evaluation of the impact of game activity types on the interest of learners in engaging in sustainable fashion.

Authors

Institutions

Publication Details

Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.09.648
Primary Topic
Sustainability in Higher Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Innovative Sustainable Software Solutions for Green Fashion

Maria Spichkova, Carolina Quintero Rodriguez, Michelle J. S. Spencer, Rashmita Bardalai
Procedia Computer Science
Sustainability in Higher Education
article

Innovative Sustainable Software Solutions for Green Fashion

Maria Spichkova, Carolina Quintero Rodriguez, Michelle J. S. Spencer, Rashmita Bardalai
article en

Abstract

The fashion and textiles industry is one of the most significant contributors to global carbon emissions and wastewater pollution. As a result, the fashion industry contributes significantly to climate change and water scarcity. Many studies have demonstrated that social networks and fast fashion marketing influence young people, often promoting unsustainable consumption habits. Environmental and green fashion education at all levels becomes imperative for dealing with this issue, as it promotes changes in consumer behaviour. In this paper, we propose to elaborate an e-Learning framework to teach children about sustainable fashion through interactive games, videos, and activities. This research will include focus group sessions and observation studies to investigate users’ perceptions and interaction patterns. The framework will provide equitable access to sustainability education and an outlook for future careers for children, which will help to address gaps in current educational resources and leverage technology to scale impact. This might be especially useful for children in rural and remote areas as well as children who face socioeconomic disadvantage. The future direction of research will include an analysis of interaction patterns with respect to learning results, as well as an evaluation of the impact of game activity types on the interest of learners in engaging in sustainable fashion.

Procedia Computer ScienceVol. 270
MIT University (MK), RMIT University (AU)
Openalex Percentile: Top 65%
Sustainability in Higher Education
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.