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Jiaen YuI am a third year PhD student in the Halıcıoğlu Data Science Institute (HDSI) at University of California San Diego. I work in the Data-Driven Learning Lab (DDL-Lab) under the supervision of Dr. Soohyun Nam Liao. My research interests lie at the intersection of educational data mining and human-centered systems, especially how Generative AI can reshape and support student learning in computing education. 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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CV
🎓 Education
- Ph.D. in Data Science,
- M.S. in Computer Science,
- B.Sc. in Electronic Info Sci & Tech,
🎉 News
- Sept. 2026 – Our work on a data-driven planning intervention was accepted to SIGCSE TS 2027! We will present our paper in Sacramento in February 2027. Preprint available on arXiv.
- Sept. 2025 – Our work ContentGen was accepted at SIGCSE 2026!
- Apr. 2025 – Two papers were accepted to ASEE Conference 2025!
- Mar. 2025 – I served as a panelist at the CCSC Southwestern 2025, sharing our work on ClearMind.
📖 Publications |
Better Plans, Better Outcomes: Integrating Historical Data into Student Planning in a Computing CourseACM SIGCSE TS, 2027 (to appear)
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Improving LLM-Generated Educational Content: A Case Study on Prototyping, Prompt Engineering, and Evaluating a Tool for Generating Programming Problems for Data ScienceACM SIGCSE TS, 2026
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Engagement with Metacognition-promoting Web-based Interventions and its Relationship with Learning OutcomesComputers in Education Division, ASEE Annual Conference, 2025
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Exploring Student Use of an ACT-based Mobile Application and its Impact on Reducing ProcrastinationComputers in Education Division, ASEE Annual Conference, 2025
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Student Usage of Metacognition-Promoting Tool in a CS2 Course and its Relationship with PerformanceACM SIGCSE TS [Poster], 2025
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🌟 Research Projects |
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ContentGen: Improving LLM-Generated Content for Data ScienceContentGen is 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 ApplicationCompassX 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 ProcrastinationWe 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. |
Awards
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GPSA Travel Grant Award
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First Year Fellowship
Teaching
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Teaching Assistant · DSC 106 (Data Visualization)
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Teaching Assistant · DSC 30 (Data Structures and Algorithms for Data Science)
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Teaching Assistant · DSC 20 (Programming and Data Structures for Data Science)
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COSMOS Teaching Assistant (Machine Learning)
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COSMOS Teaching Assistant (Computers in Everyday Life)
Academic Service
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PC Reviewer (Paper - Experience Reports and Tools)
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PC Reviewer (Posters & Paper - Experience Reports and Tools)
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PC Reviewer (Paper - Position and Curricula Initiatives)
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Design and source code from Jon Barron's website |