Reimagining Teacher Preparation Classrooms for AI-Supported Learning
How should classrooms evolve as AI becomes part of teacher education in colleges and universities? This session presents early findings from a participatory design study of a pre-service teacher education classroom. Using surveys, interviews, and design conversations with instructors, students, and staff — alongside insights from Steelcase research on AI and learning environments — the project examines how spatial design, furniture, and infrastructure shape the meaningful use of AI and other digital tools.
Speakers
Mike FrazierGraduate Assistant, College of Education, Michigan State University
Michael LachneyAssociate Professor, College of Education, Michigan State University, College of Education, Department of Counseling, Educational Psychology and Special Education.
Andrew KimDirector, Research + Innovation, Steelcase
More Information
Allow Registration:No
Capacity Unlimited:No
Indicate how the topic is applicable to Health, Safety, Welfare (HSW) Design credits.:NA
Learner Engagement:Participants will engage in a structured, small-group discussion activity where they analyze a classroom layout and identify spatial features that support or constrain technology-rich learning. Drawing on findings from the classroom redesign study and industry research on AI and learning environments, groups will discuss one redesign strategy to better support collaborative and technology-mediated teaching activities. Polling questions and visual examples from the research will be used throughout the session to prompt discussion, comparison across contexts, and reflection on participants’ own learning spaces.
Learning Objective 1:Examine how instructors and students perceive shifts in teaching, learning, and technology use within AI-supported classroom environments.



