Teaching and Learning in the Age of Artificial Intelligence

Overview

The Project Kaleidoscope (PKAL) Regional Networks provide low-cost, effective professional development opportunities for STEM faculty and administrators to foster a caring community, explore and advance modern undergraduate STEM pedagogies, disseminate findings from undergraduate STEM research and practice, and promote STEM faculty career advancement.  The Capital PKAL Regional Network welcomes all faculty and administrators from public and private 2- and 4-year higher education institutions to attend its upcoming Regional Network Meeting. 

Meeting Theme

The accelerating influence of artificial intelligence and machine learning is rapidly transforming higher education, notably in the ways students learn and how faculty teach. This Capital PKAL Regional Network Meeting will bring together educators, administrators and thought leaders to have critical discussions on how higher ed can best position itself to address these challenges, while leveraging the opportunities presented by AI/ML technologies and applications. This strategic approach involves reenvisioning the practice of teaching, learning, and assessment grounded in ethical, effective and responsible integration of AI into curricula, pedagogy, and institutional policies. The meeting aligns with AACU PKAL’s mission to promote and advance excellence in undergraduate STEM education by strengthening faculty capacity and institutional readiness for AI-enhanced teaching and learning in the 21st century.

Meeting Tracks

1. Faculty as AI-Learners: Faculty Learning Communities for AI Pedagogy
   This track explores case studies from institutions that have piloted AI teaching workshops, certificate programs, learning communities, or other forms of professional development and training targeted at building faculty capacity and self-efficacy in emerging AI/ML technologies. These implementations may serve as models for other institutions to develop best practices on how to effectively implement faculty professional development opportunities in AI/ML at the departmental or institutional level.
    
2. Teaching in the Age of AI: Rethinking Learning and Assessment
   This track explores how AI use and engagement impacts student learning behaviors and how faculty have adapted pedagogical practices and assessment strategies to promote student learning and outcomes. It is also inclusive of innovative strategies to align undergraduate STEM education with workforce readiness in AI-enabled STEM fields.
    
3. Pedagogical Innovations: Designing AI-integrated Assignments and Laboratory Experiences
   This track explores how AI/ML can be leveraged to support active learning and integrated into assignments, laboratory experiences, and other forms of instruction to promote critical thinking, creativity, and engagement.
    
4. Creating Ethical and Equitable AI Use Guidelines for Teaching, Learning and Research
   This track explores frameworks for how institutional policy and practice can promote responsible and ethical use of AI/ML in teaching, learning and research among all institutional stakeholders.

Registration

General registration for faculty and administrators is $74 per person and $50 per person for graduate/undergraduate students. Click HERE to register. Deadline: April 21, 2026.