| Developing Early Detectors of Student Attrition and Wheel Spinning Using Deep Learning | 0 | 0.34 | 2019 |
| Sequencing content in an adaptive testing system: the role of choice. | 0 | 0.34 | 2017 |
| Clustering Students in ASSISTments: Exploring System- and School-Level Traits to Advance Personalization. | 1 | 0.37 | 2017 |
| Predicting student performance on post-requisite skills using prerequisite skill data: an alternative method for refining prerequisite skill structures. | 4 | 0.40 | 2016 |
| The Opportunity Count Model: A Flexible Approach to Modeling Student Performance. | 0 | 0.34 | 2016 |
| Modeling Interactions Across Skills: A Method to Construct and Compare Models Predicting the Existence of Skill Relationships. | 1 | 0.36 | 2016 |
| The Effect of the Distribution of Predictions of User Models. | 0 | 0.34 | 2015 |
| An analysis of the impact of action order on future performance: the fine-grain action model | 3 | 0.37 | 2015 |
| Improving Student Modeling Through Partial Credit and Problem Difficulty | 5 | 0.49 | 2015 |
| Predicting Student Aptitude Using Performance History. | 0 | 0.34 | 2015 |
| Improving Learning Maps Using An Adaptive Testing System: Placements | 2 | 0.45 | 2015 |
| Using Partial Credit and Response History to Model User Knowledge. | 0 | 0.34 | 2015 |
| Building Models to Predict Hint-or-Attempt Actions of Students. | 1 | 0.35 | 2015 |
| Refining Learning Maps with Data Fitting Techniques: Searching for Better Fitting Learning Maps. | 1 | 0.40 | 2014 |
| Improving Retention Performance Prediction with Prerequisite Skill Features. | 1 | 0.46 | 2014 |
| Do students really learn an equal amount independent of whether they get an item correct or wrong? | 0 | 0.34 | 2013 |
