Environmental Awareness and Responsibility: A Machine Learning Analysis of Polish University Students

This study explores the concept of environmental responsibility and assesses the attitudes and perceptions of young adults towards environmental challenges. Applying a hybrid approach based on feature selection, machine learning methods (classification and regression trees (CART) and recursive feature elimination (RFE)) and statistical methods (chi-squared tests), we analyzed survey data from 500 students across three universities. The results reveal that 82% of students rate their climate knowledge as moderate or good, while 92% perceive climate change as a serious threat. Women are more likely than men to report engagement in pro-environmental initiatives. Students’ environmental orientation weakens in the middle years of study but re-emerges in the final year, possibly reflecting greater maturity and a stronger sense of responsibility before graduation. The willingness to establish sustainable enterprises does not always correspond to a high level of knowledge or daily environmental practices. While undergraduates report high levels of climate awareness, they often fail to translate this into concrete actions, indicating a gap between knowledge, motivation, and practice. The insights from the research can inform environmental education strategies, institutional practices, and youth engagement programs within higher education.

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Publication Details

Journal
Sustainability
Published
2025-09-24
DOI
https://doi.org/10.3390/su17198577
Citations
2
Primary Topic
Environmental Education and Sustainability
Type
article
Field-Weighted Citation Impact
4.84
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article

Environmental Awareness and Responsibility: A Machine Learning Analysis of Polish University Students

Dorota Murzyn, Teresa Mroczek, Marta Czyżewska, Karolina Jezierska
2 citations
Sustainability
Environmental Education and Sustainability
4.84
article

Environmental Awareness and Responsibility: A Machine Learning Analysis of Polish University Students

Dorota Murzyn, Teresa Mroczek, Marta Czyżewska, Karolina Jezierska
article en
2 citations

Abstract

This study explores the concept of environmental responsibility and assesses the attitudes and perceptions of young adults towards environmental challenges. Applying a hybrid approach based on feature selection, machine learning methods (classification and regression trees (CART) and recursive feature elimination (RFE)) and statistical methods (chi-squared tests), we analyzed survey data from 500 students across three universities. The results reveal that 82% of students rate their climate knowledge as moderate or good, while 92% perceive climate change as a serious threat. Women are more likely than men to report engagement in pro-environmental initiatives. Students’ environmental orientation weakens in the middle years of study but re-emerges in the final year, possibly reflecting greater maturity and a stronger sense of responsibility before graduation. The willingness to establish sustainable enterprises does not always correspond to a high level of knowledge or daily environmental practices. While undergraduates report high levels of climate awareness, they often fail to translate this into concrete actions, indicating a gap between knowledge, motivation, and practice. The insights from the research can inform environmental education strategies, institutional practices, and youth engagement programs within higher education.

SustainabilityVol. 17(19)
University School of Physical Education in Kraków (PL), University of Information Technology and Management in Rzeszow (PL), University of Rzeszów (PL)
Openalex Percentile: Top 5%
Environmental Education and Sustainability
4.84
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Environmental Awareness and Responsibility: A Machine Learning Analysis of Polish University Students — Dorota Murzyn, Teresa Mroczek, et al. · Sustainability (2025) | TGRS Research Map | TGRS