Volume 4,Issue 2
AI-Supported Environmental Education: Insights from a Qualitative Study of Sustainable Behavior Change
This qualitative study explores how AI-supported environmental education is experienced in corporate contexts and how it influences sustainable behavior among adult professionals. Drawing on semi-structured interviews with corporate practitioners engaged in AI-mediated sustainability learning, the research applies reflexive thematic analysis to identify key behavioral mechanisms. The findings reveal four interrelated themes: personalization as a driver of engagement, continuous feedback and habit formation, the role of social and organizational context, and psychological or practical barriers limiting sustained action. Rather than functioning as a deterministic driver of pro-environmental behavior, AI emerges as a conditional behavioral mediator whose effectiveness depends on motivation, organizational culture, and contextual reinforcement. The study contributes qualitative insight to the interdisciplinary intersection of environmental education, educational technology, and behavioral change research, highlighting the importance of human-centered AI design and institutional alignment for durable sustainability practices. These findings provide a foundation for future longitudinal and mixed-method investigations of AI-mediated environmental learning across organizational settings.
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