IN-PERSON Prague Research & Teaching Conference

Abstract

This presentation introduces a transformative framework for co-teaching with Artificial Intelligence (AI), integrating design thinking and co-intelligence to reshape pedagogical practice. Central to this model is the design process, where educators engage in iterative prototyping of activities and simulations by combining psychological priming of AI with structured feedback loops from students. These feedback loops allow for both rapid, real-time refinement and longer-term revisions of assignments and activities, fostering continuous improvement and adaptability. A key feature of this framework is its focus on leveraging AI to stimulate creativity. By generating novel ideas, exploring diverse perspectives, and presenting realistic, emotionally engaging scenarios, AI acts as a collaborative partner that enhances educators’ ability to create dynamic, immersive learning experiences. Practical applications include simulations for leadership decision-making, role-plays for handling difficult conversations, and personalized feedback for student research projects. The model also emphasizes structured outcomes, ensuring that co-teaching with AI produces measurable results across four dimensions: learning outcomes, emotional engagement, reflective practice, and accuracy/bias assessment. These structured outcomes provide educators with clear indicators to evaluate the effectiveness of activities, such as mastery of content, empathy development, and critical thinking skills, while safeguarding against inaccuracies and biases in AI-generated outputs. Attendees will gain insights into implementing this innovative framework, including strategies for design, collaboration, and outcome measurement. This session offers a visionary approach to integrating AI into teaching, positioning it as a co-teacher that enhances creativity, fosters reflection, and drives meaningful, equitable learning experiences.