San Diego, California, United States
Summary: Analyze and understand the differences between Native English Speakers (NES) and Non-Native English Speakers (NNES) in CS education in order to minimize the barriers faced by NNES.
Project #1:
• An Analysis of Stress and Sense of Belonging Among Native and Non-native English Speakers Learning Computer Science
(53rd ACM Technical Symposium on Computer Science Education (SIGCSE) 2022 (In Press)
* Currently performing research at the Computing Education Research (CER) Lab in a team of six members.
* Quantitative analysis of the experimental data of more than 1500 students in three computer science courses.
Project #2:
• A Qualitative Analysis of Lecture Videos and Student Feedback on Static Code Examples and Live Coding: A Case Study
23rd Australasian Computing Education Conference (ACE) 2021
* Collaborated with five team members to work on the project
* Video Analysis of introductory CS lectures of a US University and data compilation
* Survey Analysis of the weekly surveys to demonstrate the qualities of different lecture styles