Culminate engineering learning tasks in action within real contexts through industry, government, and NGO partnerships¶

Strategy · All strategies
Evidence · no claims cited

Description¶

The practice-integrated pillar recommends that learning tasks end in real-world action rather than laboratory simulations or hypothetical projects, which the article says limit exposure to uncertainty, stakeholder diversity, and implementation constraints. The article states that "AI-SEE therefore emphasizes that learning tasks should culminate in action within real contexts," with implementation pathways including energy-efficiency diagnostics with enterprises, photovoltaic site selection with township governments, and social innovation projects with environmental NGOs.

Design Implications¶

Context¶

Requirements¶

• partnerships with industrial parks, manufacturing enterprises, township or village governments, and environmental NGOs
• capstone and graduation projects sourced from industrial challenges and pressing societal issues

Constraints¶

• the article presents this as one pillar of a framework designed for resource-constrained, practice-oriented higher education contexts

Target Learners¶

• undergraduate engineering students

Target Learning Goals¶

• resilience, systems thinking, and integrative coordination capabilities
• public service competence and civic engagement

Affordances¶

• Ai See Framework

Related Strategies¶

• Authentic Audiences and Purposes
• Make-Believe: Problem-Based Learning

Examples¶

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Key Sources¶

• Feng Liu, Hua Wang, Yuntao Guo, Tianpei Tang. (2026). Enhancing Sustainability Consciousness in Higher Education: Impacts of Artificial Intelligence-Integrated Sustainable Engineering Education. Sustainability 18, 2124. https://doi.org/10.3390/su18042124