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The effect of ChatGPT on the development of medical waste attitudes, behaviors, and environmental awareness among university students: A quasi-experimental study

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  • Kaya, Nahsan
  • Parlak, Lütfiye
  • Duru, Pınar

Abstract

This study investigates the effect of ChatGPT on developing medical waste attitudes, behaviors, and environmental awareness among university students. Conducted between March and June 2023 as quasi-experimental research, the study involved 76 students divided into study and control groups. The "Waste Management" course was taught with ChatGPT-supported instruction for the study group over 14 weeks. Results show that ChatGPT-assisted education did not significantly improve students' medical waste attitudes and behaviors but positively influenced their environmental awareness. Students in the study group found ChatGPT helpful in acquiring information and raising awareness, significantly increasing their environmental awareness compared to the control group. However, the expected positive effect on medical waste attitudes was not observed, indicating that educational methods should be reevaluated. In conclusion, ChatGPT can be an effective tool in environmental education, but more interactive and practical applications are needed to improve medical waste attitudes. Future studies should explore AI-supported education methods across different fields more comprehensively.

Suggested Citation

  • Kaya, Nahsan & Parlak, Lütfiye & Duru, Pınar, 2025. "The effect of ChatGPT on the development of medical waste attitudes, behaviors, and environmental awareness among university students: A quasi-experimental study," Evaluation and Program Planning, Elsevier, vol. 111(C).
    • Handle: RePEc:eee:epplan:v:111:y:2025:i:c:s014971892500062x
    DOI: 10.1016/j.evalprogplan.2025.102595
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    References listed on IDEAS

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    1. Behzad Foroughi & Bita Naghmeh‐Abbaspour & Jun Wen & Morteza Ghobakhloo & Mostafa Al‐Emran & Mohammed A. Al‐Sharafi, 2025. "Determinants of Generative AI in Promoting Green Purchasing Behavior: A Hybrid Partial Least Squares–Artificial Neural Network Approach," Business Strategy and the Environment, Wiley Blackwell, vol. 34(4), pages 4072-4094, May.
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