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Michael Lachney

Michael Lachney

Associate Professor, College of EducationMichigan State University, College of Education, Department of Counseling, Educational Psychology and Special Education.

Michael Lachney is an associate professor in the Educational Psychology and Educational Technology program in the College of Education. He has a PhD in Science and Technology Studies from the Rensselaer Polytechnic Institute, where he learned about critical theories of technology and qualitative methods. His research explores the cultural politics of educational technology, including how technology and race co-shape each other in school and out-of-school contexts. In addition, he works on educational technology design strategies and implementation tactics to help educators collaborate with community experts (e.g., braiders, urban gardeners, youth sports coaches, etc.) in culturally responsive science, technology, engineering, and mathematics education. Michael's research has appeared in the journals Computer Science Education, Interactive Learning Environments, Learning, Media and Technology, Science as Culture, among others in the fields of STS and educational technology. His most recent project explores how to theorize and ethically construct relationships between humans, nonhuman animals, plants, and technologies in educational technology research.

Wed Oct 281:00 PM – 2:00 PM

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 partici…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 des…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 infrastru…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.Show MoreClick the title to see all detailsShow More

EDsession (60 minutes in classrooms)Session TypeTRACK 1: Learning Spaces, Reimagined — Evolving physical spaces shaping the future of learningSession Track
Mike Frazier
Michael Lachney
Andrew Kim
Mike Frazier
Mike FrazierGraduate Assistant, College of Education, Michigan State University
Michael Lachney
Michael LachneyAssociate Professor, College of Education, Michigan State University, College of Education, Department of Counseling, Educational Psychology and Special Education.
Andrew Kim
Andrew KimDirector, Research + Innovation, Steelcase
Mike Frazier
Mike FrazierGraduate Assistant, College of Education, Michigan State University
Michael Lachney
Michael LachneyAssociate Professor, College of Education, Michigan State University, College of Education, Department of Counseling, Educational Psychology and Special Education.
Andrew Kim
Andrew KimDirector, Research + Innovation, Steelcase
Tags:Group A
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.