| 2019 | A generalizable performance evaluation model of driving games via risk-weighted trajectories. | Rory Flemming, Emmanuel Schmck, Dominic Mussack, Pedro Cardoso-Leite, Paul Schrater |
| 2019 | Visualizing Learning Performance Data and Model Predictions as Objects in a 3D Space. | Bruno Emond, Julio J. Valds |
| 2019 | Predicting Early and Often: Predictive Student Modeling for Block-Based Programming Environments. | Andrew Emerson, Andy Smith, Cody Smith, Fernando J. Rodrguez, Wookhee Min, Eric N. Wiebe, Bradford W. Mott, Kristy Elizabeth Boyer, James C. Lester |
| 2019 | Differentiating between Educational Data Mining and Learning Analytics: A Bibliometric Approach. | Stevens Dormezil, Taghi M. Khoshgoftaar, Federica Robinson-Bryant |
| 2019 | Design and Deployment of a Better University Course Search: Inferring Latent Keywords from Enrollments. | Matthew Dong, Run Yu, Zachary A. Pardos |
| 2019 | Rank-Based Tensor Factorization for Student Performance Prediction. | Thanh-Nam Doan, Shaghayegh Sahebi |
| 2019 | Why Deep Knowledge Tracing has less Depth than Anticipated. | Xinyi Ding, Eric C. Larson |
| 2019 | A Data-Driven Approach for Automated Assessment of Scientific Explanations in Science Inquiry. | Rachel Dickler, Haiying Li, Janice D. Gobert |
| 2019 | N-gram Graphs for Topic Extraction in Educational Forums. | Glenn M. Davis, Cindy Wang, Christina Yuan |
| 2019 | Individual Differences in Student Learning Aid Usage. | Andra K. Davis, Yun Jin Rho, Daniel Furr |
| 2019 | Exploring the Link Between Motivations and Gaming. | Steven Dang, Ken Koedinger |
| 2019 | A Better Cold-Start for Early Prediction of Student At-Risk Status in New School Districts. | Chad Coleman, Ryan S. Baker, Shonte Stephenson |
| 2019 | Machine-Learned School Dropout Early Warning at Scale. | S. Thomas Christie, Daniel C. Jarratt, Lukas A. Olson, Taavi T. Taijala |
| 2019 | Gender Differences in Work-Integrated Learning Assessments. | Shivangi Chopra, Abeer Khan, Melicaalsadat Mirsafian, Lukasz Golab |
| 2019 | DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills. | Benot Choffin, Fabrice Popineau, Yolaine Bourda, Jill-Jnn Vie |
| 2019 | Predictors of Student Satisfaction: A Large-scale Study of Human-Human Online Tutorial Dialogues. | Guanliang Chen, David Lang, Rafael Ferreira, Dragan Gasevic |
| 2019 | Parent as a Companion for Solving Challenging Math Problems: Insights from Multi-modal Observational Data. | Lujie Chen, Eva Gjekmarkaj, Artur Dubrawski |
| 2019 | Incorporating Prior Practice Difficulty into Performance Factor Analysis to Model Mandarin Tone Learning. | Meng Cao, Philip I. Pavlik Jr., Gavin M. Bidelman |
| 2019 | Design and evaluation of a semantic indicator for automatically supporting programming learning. | Julien Broisin, Clment Hrouard |
| 2019 | Application of Hidden Markov Models to quantify the impact of enrollment patterns on student performance. | Shahab Boumi, Adan Vela |
| 2019 | Shedding Light on the Automated Essay Scoring Process. | David Boulanger, Vivekanandan Kumar |
| 2019 | Machine-Learned or Expert-Engineered Features? Exploring Feature Engineering Methods in Detectors of Student Behavior and Affect. | Anthony F. Botelho, Ryan S. Baker, Neil T. Heffernan |
| 2019 | Assessing Student Response in Tutorial Dialogue Context using Probabilistic Soft Logic. | Rajendra Banjade, Vasile Rus |
| 2019 | The Guided Team-Partitioning Problem: Definition, Complexity, and Algorithm. | Sanaz Bahargam, Theodoros Lappas, Evimaria Terzi |
| 2019 | Leveraging Deep Reinforcement Learning for Pedagogical Policy Induction in an Intelligent Tutoring System. | Markel Sanz Ausin, Hamoon Azizsoltani, Tiffany Barnes, Min Chi |