Enhancing Sustainability Consciousness in Higher Education: Impacts of Artificial Intelligence-Integrated Sustainable Engineering Education

Synthesis: Liu, Wang, Guo, and Tang (2026) propose AI-SEE (Artificial Intelligence-Integrated Sustainable Engineering Education), a pedagogical framework that integrates AI across the engineering curriculum as both a cognitive scaffold and a resource for system-level analysis. Grounded in Human AI Collaboration, AI-SEE comprises four pillars — intelligence-driven, green-empowered, responsibility-leading, and practice-integrated — and was tested with 144 undergraduates in transportation-related programs at Nantong University. The study reports that AI-SEE enhanced students' sustainability consciousness and translated it into behavioral engagement across personal, academic, professional, and social levels, with evidence of social diffusion effects beyond the classroom.

Key Findings

1. AI-SEE is a four-pillar framework. Intelligence-driven (AI as cognitive scaffold), green-empowered (AI for sustainability analysis), responsibility-leading (ethical use), and practice-integrated (authentic decision-making in real stakeholder environments).
2. It addresses fragmented sustainability learning. In application-oriented undergraduate programs, sustainability learning is often fragmented and disconnected from authentic engineering decision-making; AI-SEE integrates it across the curriculum.
3. Behavioral engagement at multiple levels. Compared to a control group's incremental lifestyle adjustments, pilot-group students showed engagement across personal, academic, professional, and social levels, consistent with evidence that sustained behavioral change follows actions producing multiple co-benefits.
4. Social diffusion effects. Students acting as communicators within families and peer networks suggest sustainability consciousness propagates beyond the immediate educational setting.

Relevance

This is a concrete, empirical illustration of AI for sustainability in the knowledge base's Sustainability concept page: using AI for sustainable education outcomes, in this case building sustainability consciousness in Engineering Education. It complements the value-critical and scoping-review articles by providing an implementable pedagogical framework and evidence of learning and behavior change.

Connected Concepts

• Sustainability
• Engineering Education
• Higher Ed
• Human AI Collaboration
• Learning Design
• Personalized Learning
• Ethics

Connected Articles

• Daniel AI Sustainability Scoping Review 2026 — Scoping review of AI for sustainability and sustainable AI in higher education
• Alsuhaymi Sustainable Education AI Digitalization 2026 — Value-critical approach to sustainable education and AI

Citation

Liu, F., Wang, H., Guo, Y., & Tang, T. (2026). Enhancing Sustainability Consciousness in Higher Education: Impacts of Artificial Intelligence-Integrated Sustainable Engineering Education. Sustainability, 18(4), 2124.