Teaching

Through the GAANN Fellowship, we will receive training in teaching through our teaching mentors’ guidance and supervision. Every year, a report overviewing our progress must be submitted. Therefore, I will keep track of my progress over time through this page and with additional writings as a way to continuously reflect. As I gain more experience and by the end of this program, I will have developed a teaching portfolio as a way to present my overall learning and growth.

View My teaching reports and reflections

Teaching Philosophy

“We never know which lives we influence, or when, or why.”

Stephen King

I believe that teaching and learning is a constant process both inside and outside of the classroom. While this teaching philosophy is made with the teacher-student relationship in mind, learning and growth happens everywhere – between friends, family, and even complete strangers. We never know whose lives we will influence, or who will end up influencing ours, but I think it is those moments and connections that make life beautiful…

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Teaching Experiment Plan

Here I will record the Teaching Experiment Plan for each semester as I progress. There will also be a report at the end of each semester to summarize my overall experiences.

  • Spring 2024

    ♥ Teach the ITCS 3162 class (Introduction to Data Mining). We are now back in person with 76 students and 3 TAs (1 MS and 2 UG).
    ♥ Continue developing my personal website and teaching portfolio.

  • Fall 2023

    ♥ Teach the ITCS 3162 class (Introduction to Data Mining) again. This semester is an online asynchronous format with 95 students and 3 TAs (2 MS and 1 UG). I will have to organize the course to ensure the material fits the new format.
    ♥ Continue developing my personal website and teaching portfolio.

  • Spring 2023

    ♥ Take a semester to be a teaching assistant for the graduate Knowledge Discovery in Databases course.
    ♥ Continue developing my personal website and teaching portfolio.

  • Fall 2022

    ♥ Teach the ITCS 3162 class (Introduction to Data Mining). We now have 76 students and 3 TAs (all undergrad).
    ♥ Continue developing my personal website and teaching portfolio.

View All Semester Plans