1. Home
  2. Special Session

Special Session 2



AI-Powered Pedagogy: Architecting the Future of Digital Education


Organizer: Prof. Dr.-Ing. habil. Herwig Unger, FernUniversität in Hagen, Germany

This session aims to explore the integration of sophisticated Artificial Intelligence (AI) workflows into the core of the teaching and learning process. Moving beyond traditional lecture-seminar models and basic distance learning, we will focus on how AI can address critical pedagogical challenges such as student engagement, personalized learning paths, and scalable interaction. As education increasingly shifts to hybrid and digital-first models, AI plays a pivotal role in automating administrative tasks, generating dynamic content, providing intelligent tutoring, and facilitating data-driven insights for educators. This session welcomes contributions on innovative AI architectures, workflow designs, and practical implementations that enhance educational outcomes, promote lifelong learning, and create more responsive and inclusive digital learning environments, with a particular interest in contributions that also address the critical sociological and ethical dimensions of this technological integration.

Topics of Interest (but not limited to):
  • AI-driven workflow automation for course and task management (e.g., using platforms like n8n)
  • Intelligent Tutoring Systems (ITS) and on-demand, personalized student assistance
  • AI for content generation, summarization, and automated assessment creation
  • Data analysis and learning analytics for tracking student progress and predicting outcomes
  • AI tools for facilitating and moderating equitable online discussions and seminars
  • Designing for diverse roles and knowledge levels within AI-augmented learning systems
  • Addressing challenges of bias, fairness, and data privacy in educational AI
  • Overcoming implementation barriers: teacher training, cost, and resistance to change
  • Case studies of successful AI integration in university-level and lifelong learning programs
  • The future of the "Digital Professor": AI as a co-pilot in teaching
  • Sociological and ethical implications of AI in education
  • Algorithmic bias and fairness in automated grading and support systems
  • Data privacy, student surveillance, and ethical data use policies
  • Impact of AI on teacher-student dynamics and educational equity

    •  Submission Link: https://www.zmeeting.org/Submit/paper/track_id/311/short_url/APCT2026.html