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
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
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
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