Dynamic Bayesian Item Response Model with Decomposition (D-BIRD): Modeling Cohort and Individual Learning Over Time
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866915361253752832 |
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| author | Lee, Hansol Cho, Jason B. Matteson, David S. Domingue, Benjamin W. |
| author_facet | Lee, Hansol Cho, Jason B. Matteson, David S. Domingue, Benjamin W. |
| contents | We present D-BIRD, a Bayesian dynamic item response model for estimating student ability from sparse, longitudinal assessments. By decomposing ability into a cohort trend and individual trajectory, D-BIRD supports interpretable modeling of learning over time. We evaluate parameter recovery in simulation and demonstrate the model using real-world personalized learning data. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2506_21723 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Dynamic Bayesian Item Response Model with Decomposition (D-BIRD): Modeling Cohort and Individual Learning Over Time Lee, Hansol Cho, Jason B. Matteson, David S. Domingue, Benjamin W. Applications Computers and Society Methodology We present D-BIRD, a Bayesian dynamic item response model for estimating student ability from sparse, longitudinal assessments. By decomposing ability into a cohort trend and individual trajectory, D-BIRD supports interpretable modeling of learning over time. We evaluate parameter recovery in simulation and demonstrate the model using real-world personalized learning data. |
| title | Dynamic Bayesian Item Response Model with Decomposition (D-BIRD): Modeling Cohort and Individual Learning Over Time |
| topic | Applications Computers and Society Methodology |
| url | https://arxiv.org/abs/2506.21723 |