معرفی
Michele W. McColgan serves as Professor and Department Chair of Physics in Siena University's School of Science, where she has held progressive academic appointments since 2005. Her leadership spans curriculum development, physics club advisement, and departmental administration within this Catholic liberal arts institution located in New York's Capital Region.
Her academic credentials include:
- Ph.D. in Physics, University of Alabama
- M.S. in Physics, University of Alabama
- B.S. in Optical Science, University of Rochester
Dr. McColgan's research pioneers Physics Education Research methodologies, with emphasis on augmented reality applications for 3D physics visualization and team-based learning frameworks. She advocates for structured collaborative environments where students progress through preparation, readiness testing, application exercises, and summative assessments to build conceptual understanding, mathematical competence, and computational skills. Her work bridges theoretical physics with practical classroom implementation.
Analysis of her 2017-2021 publications reveals consistent innovation in STEM pedagogy, particularly regarding remote learning adaptations during the pandemic, MATLAB integration in physics instruction, and assessment of conceptual knowledge. These works collectively advance evidence-based strategies for improving student engagement and mastery in physics education through technology-enhanced and collaborative approaches.
As physics club advisor and research supervisor, Dr. McColgan mentors students in PER projects and outreach activities including senior symposia and community events. Her department leverages external funding from NASA, NSF, and DOE to support undergraduate research at facilities like CERN and international field sites, though specific grant leadership isn't documented in the source material.
She directs hands-on instruction in electronic instrumentation where students build circuits, program microcontrollers, and construct robots. Her department fosters a close-knit academic community through small classes (<20 students), physics formals, and collaborative projects that prepare graduates for careers in data science, engineering, and graduate studies at institutions including MIT and Dartmouth.
