Modeling temporal self-regulatory processing in a higher education biology course JA Greene, RD Plumley, CJ Urban, ML Bernacki, KM Gates, KA Hogan, ... Learning and Instruction 72, 101201, 2021 | 86 | 2021 |
Deep learning: A primer for psychologists. CJ Urban, KM Gates Psychological Methods 26 (6), 743, 2021 | 62 | 2021 |
Predicting student outcomes using digital logs of learning behaviors: Review, current standards, and suggestions for future work CJ Arizmendi, ML Bernacki, M Raković, RD Plumley, CJ Urban, AT Panter, ... Behavior research methods 55 (6), 3026-3054, 2023 | 47 | 2023 |
A deep learning algorithm for high-dimensional exploratory item factor analysis CJ Urban, DJ Bauer Psychometrika 86 (1), 1-29, 2021 | 40 | 2021 |
Co‐designing enduring learning analytics prediction and support tools in undergraduate biology courses RD Plumley, ML Bernacki, JA Greene, S Kuhlmann, M Raković, CJ Urban, ... British Journal of Educational Technology, 2024 | 4 | 2024 |
A deep learning factor analysis model based on importance‐weighted variational inference and normalizing flow priors: Evaluation within a set of multidimensional performance … P Kilian, D Leyhr, CJ Urban, O Höner, A Kelava Statistical Analysis and Data Mining: The ASA Data Science Journal 16 (5 …, 2023 | 4 | 2023 |
Machine learning-based estimation and goodness-of-fit for large-scale confirmatory item factor analysis CJ Urban The University of North Carolina at Chapel Hill, 2021 | 2 | 2021 |
Modeling Intensively Measured, Longitudinal, and Multidimensional Item Responses: Capturing Continuous-Time Latent Change Processes via Neural Stochastic Differential Equations CJ Urban The University of North Carolina at Chapel Hill, 2024 | | 2024 |
Deep‑Learning Methods for Mobile Sensing CJ Arizmendi, CJ Urban, KM Gates Mobile Sensing in Psychology: Methods and Applications, 432, 2023 | | 2023 |
An Evaluation of Deep Learning Approaches for Factor Analysis of Response and Response Time Data R Debelak, C Urban PsyArXiv, 2022 | | 2022 |