| 2024 | EDM | An Evaluation of a Placement Assessment for an Adaptive Learning System. | Jeffrey Matayoshi, Eric Cosyn, Christopher Lechuga, Hasan Uzun |
| 2023 | AIED | Analyzing Response Times and Answer Feedback Tags in an Adaptive Assessment. | Jeffrey Matayoshi, Hasan Uzun, Eric Cosyn |
| 2022 | EDM | Does Practice Make Perfect? Analyzing the Relationship Between Higher Mastery and Forgetting in an Adaptive Learning System. | Jeffrey Matayoshi, Eric Cosyn, Hasan Uzun |
| 2022 | EDM | Using a Randomized Experiment to Compare the Performance of Two Adaptive Assessment Engines. | Jeffrey Matayoshi, Hasan Uzun, Eric Cosyn |
| 2021 | AIED | Pre-course Prediction of At-Risk Calculus Students. | James Cunningham, Raktim Mukhopadhyay, Rishabh Ranjit Kumar Jain, Jeffrey Matayoshi, Eric Cosyn, Hasan Uzun |
| 2021 | AIED | Evaluating the Impact of Research-Based Updates to an Adaptive Learning System. | Jeffrey Matayoshi, Eric Cosyn, Hasan Uzun |
| 2019 | AIED | Using Recurrent Neural Networks to Build a Stopping Algorithm for an Adaptive Assessment. | Jeffrey Matayoshi, Eric Cosyn, Hasan Uzun |
| 2019 | AIED | Deep (Un)Learning: Using Neural Networks to Model Retention and Forgetting in an Adaptive Learning System. | Jeffrey Matayoshi, Hasan Uzun, Eric Cosyn |
| 2018 | EDM | Forgetting curves and testing effect in an adaptive learning and assessment system. | Jeffrey Matayoshi, Umberto Granziol, Christopher Doble, Hasan Uzun, Eric Cosyn |