dstl-lab.github.io/index.md at main · Xcysteven/dstl-lab.github.io

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title	The Data Science Teaching and Learning Lab
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{% comment %} Undergraduate or Masters student at UCSD? Join our lab! We will host an info session on Oct 2 and applications are due 11:59pm on Oct 3. Please check out our apply page for more details. {: .notice } {% endcomment %}

The Data Science Teaching and Learning Lab (DSTL, pronounced "distill") at UCSD conducts research studies and prototypes novel tools for teaching and learning data science. The overarching goal of our group is to discover how instructors use (or struggle to use!) software tools to accomplish the many tasks of teaching, and design new tools that can improve the lives of data science instructors everywhere.

{% comment %} Teaching data science is hard! Instructors design learning materials, oversee course staff, maintain infrastructure, and integrate new discoveries in an rapidly-evolving field, all under the constraints of their academic calendar. {% endcomment %}

What we do: Our group applies methods from Human-Computer Interaction (HCI) to understand how instructors use software by conducting interviews and usability studies. We also build and maintain software tools like Pandas Tutor, used by over 20,000 people per year.

Who we are: Our group is led by professor Samuel Lau in the Halıcıoğlu Data Science Institute at UC San Diego and a small (but mighty!) team of students: