Knowledge
Creativity
Learning in the Loop
Teaching Philosophy
I design my courses around the belief that learning is an active, social, and iterative process. Students learn best when they are regularly asked to think, explain, test ideas, and revise their understanding, not simply absorb information. Everything I do in the on-ground or virtual classroom is based on the learning feedback loop: do something→ receive feedback→ reflect → revise → do it again – the deepest learning happens in reflection and revision. Failure is a key part of the learning process and when students don’t learn to fail, they fail to learn. For those reasons, I rely heavily on active learning strategies – low-stakes quizzes, structured writing, discussion, and collaborative problem-solving – to help students connect prior knowledge to new concepts and to make their thinking visible. Whether I am teaching a quantitative or qualitative course, I expect students to engage consistently with the material and with one another, developing intellectual confidence through practice rather than performance.
Assessment in my courses is intentionally authentic and aligned with how knowledge is used beyond the classroom. I emphasize interpretation, reasoning, and the ability to explain why an answer makes sense, not just whether it is correct. Grades are treated as feedback on learning rather than the goal of learning, and I encourage students to focus on mastery, reflection, and growth instead of point accumulation. At the same time, I hold high expectations and provide high support to each student, including clarity, care, and structure. My classrooms are designed to be rigorous and supportive spaces where students are comfortable taking intellectual risks, learning from mistakes, and developing the habits of mind they will need long after the course ends.
Active learning
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Authentic assessment
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Feedback
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Reflection
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Revision
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Mastery
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Rigor
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Intellectual risk-taking
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Engagement
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Active learning · Authentic assessment · Feedback · Reflection · Revision · Mastery · Rigor · Intellectual risk-taking · Engagement ·
Teaching Areas
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Mathematics & Statistics
Courses in probability, statistics, calculus, and quantitative reasoning. Nick teaches students to think rigorously about data, uncertainty, and mathematical models — skills that transfer across disciplines and into everyday civic life.
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Political Science & American Government
Courses in American politics, electoral systems, voting behavior, and democratic institutions. Nick’s teaching connects foundational political science concepts to contemporary questions about elections, representation, and civic engagement.
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Research Methods
Courses in quantitative and qualitative research design, applied statistics, and data analysis. Nick equips students with the methodological tools to ask rigorous questions, evaluate evidence, and produce original research across the social sciences.
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Higher Education Pedagogy
Courses and workshops on college teaching, learning design, and the evolving role of AI in higher education. Nick’s pedagogy-focused work helps instructors at all levels think intentionally about assessment, student engagement, and what it means to teach thinking humans in an age of generative AI.