AI-Driven Sustainable
Engineering Education

Outcome of The Session : "Digital Engineering Pedagogies"

Objective of Session
"Digital Engineering Pedagogies"

To advance innovative, AI-driven teaching and learning ecosystems that foster quality education, integrate sustainability awareness and strengthen industry-academia collaboration through digital pedagogy.

Focus Areas

AI in Engineering Pedagogy

Intelligent tutoring, adaptive learning, and personalized curricula.

Sustainability Integration

Embedding clean water, climate resilience, and eco-engineering.

Industry & Innovation Linkages

Preparing learners for Industry 4.0 through AI-enabled skills.

Digital Tools & Platforms

Smart labs, simulation environments, and immersive technologies.

Policy & Governance

Ethical AI adoption and sustainable engineering frameworks.

Core Objectives

SDG 4 – Quality Education
  • Inclusive and future-ready education
  • AI-driven lifelong learning
SDG 6 – Clean Water & Sanitation
  • Sustainability in engineering curricula
  • AI-enabled water solutions
SDG 9 – Industry, Innovation & Infrastructure
  • Innovation-driven education
  • Academia–industry collaboration
To be a Presenter please submit your Research Abstract
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