Artificial Intelligence is rapidly transforming engineering practice—and with it, the foundations of engineering education. The key question is no longer whether AI will be integrated into education, but how this integration can be designed responsibly.
The ETCOP Institute for Interdisciplinary Research is proud to contribute to this critical discourse through the Special Session:
“Responsible AI in Engineering Education: Competence Development, Pedagogical Design, and Institutional Transformation (RAIEE)”
This session will take place as part of the
29th International Conference on Interactive Collaborative Learning (ICL2026) and the 55th IGIP International Conference on Engineering Pedagogy,
held from September 30 to October 2, 2026 in Cologne, Germany.
Why Responsible AI in Engineering Education Matters
AI-enabled systems offer unprecedented opportunities for:
- personalized learning,
- enhanced access to knowledge,
- and more efficient educational processes.
At the same time, they challenge core principles of engineering education, including:
- competence development,
- reflective judgment,
- accountability,
- and professional responsibility.
Focus of the RAIEE Special Session
The RAIEE session approaches AI in education from a human-centered and future-oriented perspective. It emphasizes the need to:
- preserve human agency and critical thinking in AI-supported learning environments
- prevent cognitive deskilling and overreliance on automated systems
- redesign assessment and evaluation to maintain academic integrity
- develop institutional strategies and governance models for responsible AI integration
Key Thematic Areas
The session is structured around four interrelated themes:
- AI-Mediated Agency and Assessment Integrity
- Cognitive Integrity and Reflective AI Literacy
- Institutional Governance and Responsible AI Ecosystems
- AI as Cognitive Infrastructure
Call for Contributions
We invite theoretical, empirical, and design-based research contributions addressing responsible AI in engineering education, including:
- curriculum redesign and innovation
- AI-supported collaborative learning
- human-in-the-loop pedagogies
- ethical and explainable AI in education
- cross-cultural and transdisciplinary perspectives
Important Dates
- Submission deadline: May 15, 2026
- Notification of acceptance: June 15, 2026
- Camera-ready submission: July 15, 2026
Accepted papers will be published in the ICL 2026 proceedings (Springer LNNS, indexed in Scopus and Compendex).
Submissions may include applied research, classroom implementations, and case studies.
Join the Conversation
If your work addresses the future of AI in education, we encourage you to contribute and engage with this growing international community. Submit your paper and be part of shaping responsible AI in engineering education.
