Springer Nature OA
open access
Future Trends in AI-Driven Sustainability Education and Research
Sustainability is increasingly recognized as a critical component for ensuring a resilient and prosperous future. Its significance spans environmental preservation, economic stability, social equity, and business innovation. The integration of Artificial Intelligence (AI) into sustainability educati
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- AI-Driven Sustainability Education in Business Schools: Expectations of Educators#1428409
- Inaugural editorial: Bridging AI and planetary sustainability — A new era for climate and eco-environmental research#10958
- Artificial Intelligence and Sustainable Transformation#1181269
- Transcending Boundaries: The Fusion of Sustainability Education and Software Engineering Education in a Master’s Course#1353645
- Sustainable science mapping: benchmarking green AI against transformers for cross-disciplinary abstract classification using arXiv.#375555
Record · ID 1428371
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive