Dein Suchergebnis zum Thema: Model

This study investigates longitudinal linking of dichotomous item responses across three time points, focusing on Haberman, Haebara, Stocking-Lord linking, and concurrent calibration under item parameter drift (IPD). Joint and chain linking are examined. Three simulation studies compared these methods under IPD and different linking designs. The first study assessed linking methods under sampling error and uniform IPD, showing Haberman joint linking minimized bias and root mean square error (RMSE), especially at larger sample sizes, while concurrent calibration was most accurate without IPD. The second study introduced two designs: using anchor items across all three time points or only adjacent items between consecutive time points. Without IPD, concurrent calibration remained most precise, while under uniform IPD, Haberman methods balanced bias and precision. The third study analyzed nonuniform IPD, finding Haberman chain linking achieved the best bias and RMSE performance. Overall, chain linking outperformed joint linking under IPD. Implications for analyzing longitudinal linking designs are discussed.
des IPN A comparison of linking methods for longitudinal designs with the 2PL model

This study investigates longitudinal linking of dichotomous item responses across three time points, focusing on Haberman, Haebara, Stocking-Lord linking, and concurrent calibration under item parameter drift (IPD). Joint and chain linking are examined. Three simulation studies compared these methods under IPD and different linking designs. The first study assessed linking methods under sampling error and uniform IPD, showing Haberman joint linking minimized bias and root mean square error (RMSE), especially at larger sample sizes, while concurrent calibration was most accurate without IPD. The second study introduced two designs: using anchor items across all three time points or only adjacent items between consecutive time points. Without IPD, concurrent calibration remained most precise, while under uniform IPD, Haberman methods balanced bias and precision. The third study analyzed nonuniform IPD, finding Haberman chain linking achieved the best bias and RMSE performance. Overall, chain linking outperformed joint linking under IPD. Implications for analyzing longitudinal linking designs are discussed.
des IPN A comparison of linking methods for longitudinal designs with the 2PL model

metacognitive monitoring are thought to be involved in building a coherent situation model – purposeful reanalysis of passages that appear inconsistent to readers improves situation model
metacognitive monitoring are thought to be involved in building a coherent situation model

metacognitive monitoring are thought to be involved in building a coherent situation model – purposeful reanalysis of passages that appear inconsistent to readers improves situation model
metacognitive monitoring are thought to be involved in building a coherent situation model

Implications for teacher education and classroom practice such as the emulation of model
Implications for teacher education and classroom practice such as the emulation of model

More stable estimation of the STARTS model: A Bayesian approach using Markov Chain

Implications for teacher education and classroom practice such as the emulation of model
Implications for teacher education and classroom practice such as the emulation of model

LLM (ᵃA⁡ᵄ3⁢ᵄ7−4⁢ᵅC, using varying prompting techniques) and a reasoning-optimized model
LLM (𝐺⁡𝑃⁢𝑇−4⁢𝑜, using varying prompting techniques) and a reasoning-optimized model

Am 26. Juni begrüßt die Arbeitsgruppe Didaktik der Informatik am IPN Dr. Alejandra J. Magana, Professorin für Computer and Information Technology sowie für Engineering Education an der Purdue University (USA).
For this, students need to be able to understand the behavior of a model by connecting

The Job Demands‐Resources model: state of the art.