Teaching with and about AI Symposium

Brando’s Engagement Philosophy encourages “direct engagement with our subjects of research, not only as sources of information, but as structural contributors to the development of our research projects and its priorities.” This symposium applies this principle to the integration of AI in education, examining how students and educators collectively shape our understanding of AI’s role in teaching and learning.

The symposium brings together three key elements:

A practical workshop demonstrating techniques for ethical and effective AI deployment in educational settings, emphasising experiential learning without requiring programming expertise and an interactive discussion and demonstration of assessment and classroom activities actively using AI to move higher on Bloom’s taxonomy.

A collaborative analysis session examining student evidence and educator experiences, treating these not merely as data but as structural contributions to our understanding of AI in education.

Discussion of extended abstracts of case studies and ethnographic accounts that highlight both successes and failures in knowledge transmission, focusing particularly on how different approaches to AI education, at both the individual and institutional level, influence student learning and development.

For more information, or to submit an extended abstract, click here: https://iacapconf.org/2025symposia/teachingAI 

If you are interested in submitting and want to ask if your project aligns with our themes, or if you want to request access to available research data, please reach out to [email protected] 

We seek extended abstracts that:

Present phenomenological accounts of teaching and learning with AI

Analyze patterns of student-AI interaction and development

Document benefits and challenges in communicating AI practices across disciplines

Examine the relationship between humanities methodologies and AI literacy

Investigate ethical implications of AI integration in education

The symposium will conclude with a collaborative session developing themes for an edited volume, ensuring that our subjects of research - students, educators, and AI tools themselves - contribute meaningfully to the development of both theory and practice.

Expected Outcomes:

The symposium will produce a design for an edited volume examining the practical and philosophical dimensions of AI in education. Contributors will document:

Successful methodologies for teaching AI literacy

Critical evaluations of different pedagogical approaches

Phenomenological accounts of student-AI interaction

Frameworks for ethical implementation of AI in educational settings

Evidence-based recommendations for institutional adoption

Accepted contributors should expect to submit their full papers to an edited volume within three months after the conference.