Teaching contributions
I supported undergraduate students in applying statistical concepts to practical decisions, connecting classroom explanations with hands-on work during weekly applied sessions.
- Facilitated practice in R, Excel, Stata, and generative AI, guiding students through debugging, method selection, and a statistical consulting project.
- Developed instructor-reviewed model solutions and maintained Canvas discussions to support practice and feedback.
- Reinforced independent problem solving, critical evaluation, attribution, and responsible uses of generative AI.
- Supported classroom research through survey and assessment administration, documentation of GenAI engagement, and FERPA-aware handling of student interaction data.
Connection to my research
This teaching experience connects to my work on how learners explain statistical reasoning and evaluate AI assistance. My related Next Level Teaching Blueprint research examines critical thinking, AI literacy, and student–AI discourse in research methods courses.