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Research & Approach

For more than two decades, my work has focused on translating research about how people learn into practical decisions about teaching, assessment, course design, and technology. That work began with Course Design Studio (CDS) and has continued to evolve through faculty development, SoTL, active learning, formative assessment, learning design systems, and now AI. The technologies have changed considerably, but the underlying questions have remained remarkably consistent.

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My current work explores how AI can support faculty in designing learning experiences that align with outcomes and evidence while preserving human judgment, cognitive activity, valid evidence of learning, and learner agency.

Explore the Research. Three perspectives on the evolution, research agenda, and current CDS development.

20 Years of CDS

Trace the evolution of Course Design Studios (CDS) through alignment matrices, learning theory, assessment, active learning, and emerging tech to the current AI supported CDS.

Learning Design, Evidence & AI

Read the Research Program Charter describing the questions, intellectual commitments, research directions, and principles guiding my current work.

Course Design Studio + AI

See how AI can translate learning research into practical course design decisions by analyzing assessment, alignment, active learning methods, and syllabus design.

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