Posts by Collection

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

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