| 2019 | Mining University Registrar Records to Predict First-Year Undergraduate Attrition. | Lovenoor S. Aulck, Dev Nambi, Nishant Velagapudi, Joshua Blumenstock, Jevin West |
| 2019 | Predicting Student Dropout in Higher Education Based on Previous Exam Results. | Alexander Askinadze, Stefan Conrad |
| 2019 | Grades are not Normal: Improving Exam Score Models Using the Logit-Normal Distribution. | Noah Arthurs, Ben Stenhaug, Sergey Karayev, Chris Piech |
| 2019 | Augmenting Transcripts with Natural Language Processing and Multimodal Data. | Tyler Angert, Bertrand Schneider |
| 2019 | Hello? Who is posting, who is answering, and who is succeeding in Massive Open Online Courses. | Juan Miguel L. Andres-Bray, Jaclyn L. Ocumpaugh, Ryan S. Baker |
| 2019 | Assessing the Fairness of Graduation Predictions. | Henry Anderson, Afshan Boodhwani, Ryan S. Baker |
| 2019 | Towards a General Purpose Anomaly Detection Method to Identify Cheaters in Massive Open Online Courses. | Giora Alexandron, Jos A. Ruiprez-Valiente, David E. Pritchard |
| 2019 | Concept-Aware Deep Knowledge Tracing and Exercise Recommendation in an Online Learning System. | Fangzhe Ai, Yishuai Chen, Yuchun Guo, Yongxiang Zhao, Zhenzhu Wang, Guowei Fu, Guangyan Wang |
| 2019 | How Should Online Teachers of English as a Foreign Language (EFL) Write Feedback to Students? | Cecilia Aguerrebere, Monica Bulger, Cristbal Cobo, Sofa Garca, Gabriela Kaplan, Jacob Whitehill |
| 2019 | A Multivariate ELO-based Learner Model for Adaptive Educational Systems. | Solmaz Abdi, Hassan Khosravi, Shazia Sadiq, Dragan Gasevic |
| 2018 | How many friends can you make in a week?: evolving social relationships in MOOCs over time. | Yiqiao Xu, Collin F. Lynch, Tiffany Barnes |
| 2018 | An Empirical Research on Identifiability and Q-matrix Design for DINA model. | Peng Xu, Michel C. Desmarais |
| 2018 | Textbook annotations as an early predictor of student learning. | Adam Winchell, Michael Mozer, Andrew S. Lan, Phillip Grimaldi, Harold Pashler |
| 2018 | Prediction of Academic Achievement Based on Digital Campus. | Zheng Wang, Xinning Zhu, Junfei Huang, Xiang Li, Yang Ji |
| 2018 | Document Chunking and Learning Objective Generation for Instruction Design. | Khoi-Nguyen Tran, Jey Han Lau, Danish Contractor, Utkarsh Gupta, Bikram Sengupta, Christopher J. Butler, Mukesh K. Mohania |
| 2018 | Predicting Student Enrollment based on Student and College Characteristics. | Ahmad Slim, Don R. Hush, Tushar Ojha, Terry Babbitt |
| 2018 | Modeling Hint-Taking Behavior and Knowledge State of Students with Multi-Task Learning. | Harvineet Singh, Shiv Kumar Saini, Ritwick Chaudhry, Pradeep Dogga |
| 2018 | Predicting Student Performance Based on Online Study Habits: A Study of Blended Courses. | Adithya Sheshadri, Niki Gitinabard, Collin F. Lynch, Tiffany Barnes, Sarah Heckman |
| 2018 | Machine Beats Human at Sequencing Visuals for Perceptual-Fluency Practice. | Ayon Sen, Purav Patel, Martina A. Rau, Blake Mason, Robert Nowak, Timothy T. Rogers, Xiaojin Zhu |
| 2018 | Filtered Time Series Analyses of Student Problem-Solving Behaviors in Game-based Learning. | Robert Sawyer, Jonathan P. Rowe, Roger Azevedo, James C. Lester |
| 2018 | Using Big Data to Sharpen Design-Based Inference in A/B Tests. | Adam Sales, Anthony Botelho, Thanaporn Patikorn, Neil T. Heffernan |
| 2018 | Student Performance Prediction by Discovering Inter-Activity Relations. | Shaghayegh Sahebi, Peter Brusilovsky |
| 2018 | Exploring Collaboration Using Motion Sensors and Multi-Modal Learning Analytics. | Joseph M. Reilly, Milan Ravenell, Bertrand Schneider |
| 2018 | Predicting Learning by Analyzing Eye-Gaze Data of Reading Behavior. | Ramkumar Rajendran, Anurag Kumar, Kelly E. Carter, Daniel T. Levin, Gautam Biswas |
| 2018 | What can we learn from college students' network transactions? Constructing useful features for student success prediction. | Ian Pytlarz, Shi Pu, Monal Patel, Rajini Prabhu |