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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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portfolio
publications
Mining Detailed Course Transaction Records for Semantic Information
Published in Proceedings of the 16th International Conference on Educational Data Mining, 2023
Similarity-based course recommendations from detailed enrollment data
Recommended citation: Y. Xu and Z. A. Pardos. Mining detailed course transaction records for semantic information.Proceedings of the 16th International Conference on Educational Data Mining, pages 388–395, Bengaluru, India, July 2023. International Educational Data Mining Society. https://educationaldatamining.org/EDM2023/proceedings/2023.EDM-short-papers.39/2023.EDM-short-papers.39.pdf
Extracting Course Similarity Signal using Subword Embeddings
Published in The 14th Learning Analytics and Knowledge Conference (LAK ’24), 2024
Recommended citation: Yinuo Xu and Zachary A. Pardos. 2024. Extracting Course Similarity Signal using Subword Embeddings. In The 14th Learning Analytics and Knowledge Conference (LAK ’24), March 18–22, 2024, Kyoto, Japan. ACM, New York, NY, USA, 7 pages. https://doi.org/10.1145/3636555.3636903 https://doi.org/10.1145/3636555.3636903
Are You an Early Dropper or Late Shopper? Mining Enrollment Transaction Data to Study Procrastination in Higher Education
Published in Proceedings of the 17th International Conference on Educational Data Mining, 2024
Recommended citation: C. Borchers, Y. Xu, and Z. A. Pardos. Are you an early dropper or late shopper? mining enrollment transaction data to study procrastination in higher education. In B. Paaßen and C. D. Epp, editors, Proceedings of the 17th International Conference on Educational Data Mining, pages 426–433, Atlanta, Georgia, USA, July 2024. International Educational Data Mining Society. https://educationaldatamining.org/edm2024/proceedings/2024.EDM-short-papers.41/2024.EDM-short-papers.41.pdf
Toward Computational Literature Reviews: Analyzing Academic Theories through Supervised and Unsupervised Text-Analysis Methods
Published in SocArXiv, 2024
Recommended citation: Haber, J. R., Haveman, H. A., & Xu, Y. (2024, September 12). Toward Computational Literature Reviews: Analyzing Academic Theories through Supervised and Unsupervised Text-Analysis Methods. https://doi.org/10.31235/osf.io/e35vn https://osf.io/preprints/socarxiv/e35vn
talks
teaching
Course Facilitator (Technology and Social Impact)
Undergraduate/Graduate course, UC Berkeley College of Computing, Data Science, and Society, 2021
Jan 2021 – May 2023
Data Science (DATA 100) Undergrad Student Instructor
Undergraduate/Graduate course, UC Berkeley College of Computing, Data Science, and Society, 2022
May 2022 – Dec 2022
Natural Language Processing (INFO 159) TA
Undergraduate/Graduate course, UC Berkeley, School of Information, 2023
Jan 2023 – May 2023