• Prediction of Middle School St...

Treffer: Prediction of Middle School Students' Recycling Behaviors with Machine Learning Algorithms

Title:
Prediction of Middle School Students' Recycling Behaviors with Machine Learning Algorithms
Language:
English
Authors:
Fatma Merve Mustafaoglu (ORCID 0000-0001-7223-0794), Fatma Alkan (ORCID 0000-0003-2784-875X)
Source:
Science Education International. 2025 36(2):209-218.
Availability:
International Council of Associations for Science Education. Dokuz Eylul University Faculty of Education, Buca, Izmir 35150, Turkey. Tel: +90-532-4267927; Fax: +90-232-4204895; Web site: http://www.icaseonline.net/seiweb/
Peer Reviewed:
Y
Page Count:
10
Publication Date:
2025
Document Type:
Fachzeitschrift Journal Articles<br />Reports - Research
Education Level:
Junior High Schools
Middle Schools
Secondary Education
Descriptors:
Middle School Students, Recycling, Student Behavior, Artificial Intelligence, Algorithms, Foreign Countries, Prediction, Conservation (Environment)
Geographic Terms:
Turkey
ISSN:
1450-104X
2077-2327
Entry Date:
2025
Accession Number:
EJ1478496
Database:
ERIC

Weitere Informationen

Recycling waste is essential to mitigate environmental damage caused by human activity. Environmentally responsible behaviors, shaped during early ages, are closely linked to environmental attitudes, as demonstrated by prior research. This study aims to predict middle school students' recycling behaviors using machine learning algorithms. A correlational survey model was employed, involving 574 middle school students in Turkey. Data were collected using the Environmental Attitude Scale, Recycling Knowledge Test, and Plastics Recycling Information Test. Logistic regression analysis was conducted to determine relationships among environmental behavior, environmental emotion, plastics recycling knowledge, and recycling behavior. Results revealed that recycling behavior is positively and significantly predicted by plastics recycling information, environmental behavior, and negatively significant relationship with environmental emotion. These variables emerged as strong and reliable predictors of students' recycling behaviors. This study highlights the importance of fostering environmental knowledge and emotional engagement to encourage responsible recycling practices among young learners.

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