ISG Talks are sponsored by Couchbase.
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Sarah Asad: Teaching Data Science and AI/ML to Diverse Learners Using Apache Texera: An Experience Report
April 17 @ 1:00 pm - 2:00 pm
We’ll have Sarah present her work for this week’s ISG seminar.
Time & Location:
Friday April 17, 2026, 1:00 PM – 2:00 PM
Donald Bren Hall 3011, ICS, UC Irvine
Zoom:
https://uci.zoom.us/j/95509222811?pwd=2V8Hnx71iP6dyfNsEPoo97NUfCFWTo.1
Lunch will be provided.
Title
Teaching Data Science and AI/ML to Diverse Learners Using Apache Texera: An Experience Report
Abstract
This talk reports on our experiences teaching data science and AI/ML through a series of hands-on programs to learners ranging from high school to graduate students and non-STEM faculty. The programs are taught using Texera, an open-source system for collaborative data science and AI/ML using GUI-based workflows. A uniqueness of these programs is that they did not require participants to have prior coding skills. We describe the program-preparation process, curriculum structure, classroom experience, and feedback collected from participants. We summarize our insights regarding student engagement, effectiveness of interactive and collaborative learning environments, and practical considerations for designing accessible data science programs for learners with diverse backgrounds.
Bio
Sarah Asad is a second-year PhD student in the Computer Science Department at UC Irvine, with research interests in data systems, data science, and big data analysis. She is supervised by Prof. Chen Li.