From Learning Problems to Learning Systems
My portfolio represents more than instructional materials.
Each project begins with a learning or performance problem and asks a larger question:
What system would help learners become competent, independent, and capable of applying what they know?
The work presented here demonstrates approaches to healthcare curriculum development, adaptive learning, clinical reasoning, assessment, evidence appraisal, learner engagement, and instructional innovation.
As this portfolio develops, each case study will document the challenge, learning strategy, design process, implementation approach, measurement strategy, results, and lessons learned.
Selected Areas of Work
Medical Terminology Learning System
A comprehensive learning framework integrating foundational terminology, retrieval practice, application, case-based learning, assessment, remediation, and learner autonomy.
Healthcare Career & Workforce Education
Learning experiences designed to help students understand healthcare roles, educational pathways, scope of practice, interdisciplinary collaboration, and professional expectations.
Clinical Case-Based Learning
Multi-perspective healthcare cases that require learners to assess evidence, compare competing approaches, recognize professional bias, and defend clinical decisions.
Critical Analysis of Evidence
A structured framework that teaches learners to evaluate evidence according to strength, validity, bias, applicability, and relevance.
Adaptive Medical Science Curriculum
Blended and student-centered learning systems designed to increase learner independence while allowing instructors to focus intervention where it produces the greatest value.
Insights
Ideas at the Intersection of Healthcare, Learning, and Performance
This is where I explore how people learn complex information—and how organizations can design better systems to help them do it.
Topics include healthcare education, clinical reasoning, learning science, evidence appraisal, competency development, adaptive instruction, artificial intelligence, professional education, workforce development, and learning measurement.
The goal is not to promote educational trends for their own sake.
It is to examine which approaches improve understanding, independence, decision-making, and performance—and which simply add complexity.