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Related Experiment Video

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Measuring Light-Switching Behavior Using an Occupancy and Light Data Logger
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Competitive Development Tools in Identifying Efficient Educational Interventions for Improving Pro-Environmental and

Sorin Popescu1, Diana Rusu1, Mihai Dragomir1

  • 1Department of Design Engineering and Robotics, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania.

International Journal of Environmental Research and Public Health
|December 28, 2019
PubMed
Summary

This study introduces a roadmap using Quality Function Deployment (QFD) to create effective educational interventions for behavior change, focusing on environmental and recycling habits. The method optimizes interventions for low cost, high impact, and rapid results.

Keywords:
behavioral change theorieschanging behaviorefficient educational interventionsrecycling behaviorsustainable wellbeing behavior

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Area of Science:

  • Environmental Science
  • Behavioral Science
  • Educational Psychology

Background:

  • Modern life demands rapid behavioral adaptation to environmental and societal challenges.
  • Education is a powerful but resource-intensive tool for behavior modification.
  • Existing educational strategies for behavior change, particularly in environmental contexts, require optimization for efficiency.

Purpose of the Study:

  • To propose a novel roadmap for designing efficient educational interventions.
  • To integrate industrial competitive development methods, specifically Quality Function Deployment (QFD), into educational strategy.
  • To optimize interventions for specific behavioral changes, such as improved recycling habits, focusing on cost, impact, and speed.

Main Methods:

  • Conducted a literature review to identify over 30 targetable behavioral factors (constructs) for educational intervention.
  • Performed a survey among education professionals to evaluate the impact of these behavioral factors.
  • Applied the Quality Function Deployment (QFD) method to correlate educational interventions with behavioral factors across three dimensions: personnel, content/tools, and institutional levels.

Main Results:

  • Developed a framework for configuring educational interventions based on identified behavioral factors.
  • Utilized QFD to map interventions against criteria for low cost, high impact, and fast results.
  • Specifically demonstrated the application for enhancing recycling behaviors.

Conclusions:

  • The proposed QFD-integrated roadmap offers a structured approach to designing efficient educational interventions for behavior change.
  • The methodology is adaptable to various environmental and health-related behavioral concerns.
  • This approach can contribute to long-term public well-being by fostering sustainable behaviors.