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Jiaen Yu

I am a second year PhD student in the Halıcıoğlu Data Science Institute (HDSI) at University of California San Diego, advised by Dr. Soohyun Nam Liao. My research interests lie in Computing Education, including educational data mining, human-centered tool design, and AI-based approaches to support learning at scale.

Before I join HDSI, I obtained an M.S. in Computer Science from CSE department of UCSD, and B.S. in Electronic Information Science & Technology from Jiangsu University of Science and Technology.

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🎓 Education

  • Ph.D. in Data Science,
    University of California San Diego, 2024 -
  • M.S. in Computer Science,
    University of California San Diego, 2021 - 2023
  • B.Sc. in Electronic Info Sci & Tech,
    Jiangsu University of Sci & Tech, 2017 - 2021

🎉 News

  • Apr. 2025 – Our paper on CompassX was accepted to ASEE Conference 2025!
  • Apr. 2025 – Our paper on ClearMind was accepted to ASEE Conference 2025!
  • Mar. 2025 – I served as a panelist at the CCSC Southwestern 2025, sharing our work on ClearMind.
  • Jan. 2025 – I will serve as a Student Volunteer for SIGCSE TS 2025!
  • Nov. 2024 – Our work CompassX was accepted as a poster at SIGCSE 2025!

📖 Publications

Engagement with Metacognition-promoting Web-based Interventions and its Relationship with Learning Outcomes [link]

Jiaen Yu, Anshul Shah, John Driscoll, Yandong Xiang, Xingyin Xu, Sophia Krause-Levy, Soohyun Nam Liao

Computers in Education Division, ASEE Annual Conference, 2025

Exploring Student Use of an ACT-based Mobile Application and its Impact on Reducing Procrastination [link]

Yiqing (Brenda) Li, Jiaen Yu, U Lam Lou, Dingyi Yu, Michael Levin, Korena S Klimczak, Soohyun Nam Liao

Computers in Education Division, ASEE Annual Conference, 2025

Student Usage of Metacognition-Promoting Tool in a CS2 Course and its Relationship with Performance [paper]

Jiaen Yu, Anshul Shah, John Driscoll, Yandong Xiang, Xingyin Xu, Sophia Krause-Levy, Soohyun Nam Liao

ACM SIGCSE TS [Poster], 2025

Design of Robot Object Detection Based on Deep Learning

Jiaen Yu, Guojun Ma, Yongheng Ren, Yajun Wang

Electronic Design Engineering (China), 2021

🌟 Research Projects

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Improving LLM-Generated Content for Data Science


An open-source tool that generates programming questions for data science courses using large language models (LLMs). We evaluated the tool through custom metrics and instructor feedback to improve content quality. This project offers a practical approach for improving LLM-generated educational content.

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CompassX: Promoting Metacognition with Web-based Learning Application


poster / short paper / paper

CompassX is a web-based learning application designed to promote metacognitive study behaviors among students in computing courses. It guides students through planning, monitoring, and reflection phases, and helps explore how metacognitive engagement relates to academic performance.

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ClearMind: A Human-Centered Application for Addressing Academic Procrastination


paper

We developed ClearMind, a mobile application to help students overcome academic procrastination by integrating Acceptance and Commitment Therapy (ACT) principles with human-centered design. It offers interactive, evidence-based exercises to support self-regulation and goal-directed learning. Our study explores how digital interventions impact student engagement and procrastination.

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Crowd Counting Based on Deep Learning (Bachelor's Thesis, 2021)


Developed and deployed deep learning models for accurate crowd density estimation, achieving high precision with an error rate significantly lower than the industry average.

Teaching

  • Teaching Assistant for DSC 30 (Data Structures and Algorithms for Data Science) – UC San Diego – Summer Session 2, 2025
  • COSMOS Teaching Assistant (Machine Learning) – UC San Diego Jacobs School of Engineering – 2025
  • COSMOS Teaching Assistant (Computers in Everyday Life) – UC San Diego Jacobs School of Engineering – 2024

Academic Service


Design and source code from Jon Barron's website