| 2021 | pyBKT: An Accessible Library of Bayesian Knowledge Tracing Models. | Anirudhan Badrinath, Frdric Wang, Zachary A. Pardos |
| 2021 | Benefits of alternative evaluation methods for Automated Essay Scoring. | istein E. Andersen, Rebecca Watson, Zheng Yuan, Kevin Yet Fong Cheung |
| 2021 | Topic Transitions in MOOCs: An Analysis Study. | Fareedah Alsaad, Thomas Reichel, Yuchen Zeng, Abdussalam Alawini |
| 2021 | Context-aware knowledge tracing integrated with the exercise representation and association in mathematics. | Tao Huang, Mengyi Liang, Huali Yang, Zhi Li, Tao Yu, Shengze Hu |
| 2021 | Automated Claim Identification Using NLP Features in Student Argumentative Essays. | Qian Wan, Scott A. Crossley, Michelle P. Banawan, Renu Balyan, Danielle S. McNamara, Laura K. Allen |
| 2021 | More With Less: Exploring How to Use Deep Learning Effectively through Semi-supervised Learning for Automatic Bug Detection in Student Code. | Yang Shi, Ye Mao, Tiffany Barnes, Min Chi, Thomas W. Price |
| 2021 | Catalog: An educational content tagging system. | Saad Khan, Joshua Rosaler, Jesse Hamer, Tiago Almeida |
| 2021 | Generate: A NLG system for educational content creation. | Saad Khan, Jesse Hamer, Tiago Almeida |
| 2021 | Identifying Hubs in Undergraduate Course Networks Based on Scaled Co-Enrollments. | Gary Weiss, Nam Nguyen, Karla Dominguez, Daniel D. Leeds |
| 2021 | Fine-Grained Versus Coarse-Grained Data for Estimating Time-on-Task in Learning Programming. | Juho Leinonen, Francisco Enrique Vicente Castro, Arto Hellas |
| 2020 | Predicting Student Performance in a Master's Program in Data Science using Admissions Data. | Yijun Zhao, Qiangwen Xu, Ming Chen, Gary Weiss |
| 2020 | Modeling Knowledge Acquisition from Multiple Learning Resource Types. | Siqian Zhao, Chunpai Wang, Shaghayegh Sahebi |
| 2020 | A Quantitative Machine Learning Approach to Master Students Admission for Professional Institutions. | Yijun Zhao, Bryan Lackaye, Jennifer G. Dy, Carla E. Brodley |
| 2020 | An effect-size-based temporal interestingness metric for sequential pattern mining. | Yingbin Zhang, Luc Paquette |
| 2020 | The NAEP EDM Competition: Theory-Driven Psychometrics and Machine Learning for Predictions Based on Log Data. | Fabian Zehner, Scott Harrison, Beate Eichmann, Tobias Deribo, Daniel Bengs, Nico Andersen, Carolin Hahnel |
| 2020 | Towards Accurate and Fair Prediction of College Success: Evaluating Different Sources of Student Data. | Renzhe Yu, Qiujie Li, Christian Fischer, Shayan Doroudi, Di Xu |
| 2020 | Analyzing Student Procrastination in MOOCs: A Multivariate Hawkes Approach. | Mengfan Yao, Shaghayegh Sahebi, Reza Feyzi-Behnagh |
| 2020 | Student Subtyping via EM-Inverse Reinforcement Learning. | Xi Yang, Guojing Zhou, Michelle Taub, Roger Azevedo, Min Chi |
| 2020 | Crowd-sourcing and Automatic Generation of Semantic Information in Blended-Learning Environments. | Elad Yacobson |
| 2020 | Incorporating Task-specific Features into Deep Models to Classify Argument Components. | Linting Xue, Collin F. Lynch |
| 2020 | Semi-supervised Learning Method for Adjusting Biased Item Difficulty Estimates Caused by Nonignorable Missingness under 2PL-IRT Model. | Kang Xue |
| 2020 | Dynamic Knowledge Embedding and Tracing. | Liangbei Xu, Mark A. Davenport |
| 2020 | An Empirical Analysis of Skewed Temporal Data for Distribution-based Course Similarity. | Tao Xie, Chaohua Gong, Geping Liu |
| 2020 | Detecting Problem Statements in Peer Assessments. | Yunkai Xiao, Gabriel Zingle, Qinjin Jia, Harsh R. Shah, Yi Zhang, Tianyi Li, Mohsin Karovaliya, Weixiang Zhao, Yang Song, Jie Ji, Ashwin Balasubramaniam, Harshit Patel, Priyankha Bhalasubbramanian, Vikram Patel, Edward F. Gehringer |
| 2020 | Problem detection in peer assessments between subjects by effective transfer learning and active learning. | Yunkai Xiao, Gabriel Zingle, Qinjin Jia, Shoaib Akbar, Song Yang, Muyao Dong, Li Qi, Edward F. Gehringer |