Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Когнітивне діагностичне комп'ютеризоване адаптивне тестування× | Методологія простору правил× | |
|---|---|---|
| Галузь | Психометрія | Психометрія |
| Родина | Latent structure | Latent structure |
| Рік появи≠ | 2007 | 1983 |
| Автор методу≠ | Xueli Xu, Jean-Paul Fox | Kikumi K. Tatsuoka |
| Тип≠ | Skill-adaptive testing with psychometric diagnostic classification | IRT-based diagnostic classification |
| Основоположне джерело≠ | Choi, K. M., Lee, Y. S., & Park, Y. S. (2015). What CDM can tell about examinees' strengths and weaknesses: Cognitive diagnostic information in TIMSS. Journal of Educational Evaluation for Policy Analysis, 24(1), 79-100. link ↗ | Hartz, S. M. (2002). A Bayesian framework for the unified treatment of assessing dimensionality, assessing local dependence, and estimating ability for unidimensional and multidimensional item response data. Unpublished doctoral dissertation, University of Illinois at Urbana-Champaign. link ↗ |
| Інші назви | CD-CAT | RSM |
| Пов'язані | 5 | 5 |
| Підсумок≠ | Cognitive Diagnostic Computerized Adaptive Testing (CD-CAT) combines computerized adaptive testing (CAT) with cognitive diagnostic models (CDMs) to efficiently assess students' specific skill profiles. Rather than producing a single overall ability score, CD-CAT adaptively selects items to quickly identify which skills a student has mastered and which need development. | Rule Space Methodology (RSM) is a diagnostic classification approach developed by Tatsuoka (1983) that uses Item Response Theory and geometric methods to classify examinees into knowledge states based on their response patterns. Unlike classical scoring, RSM identifies which specific skills or competencies an examinee possesses or lacks, enabling targeted educational interventions. |
| ScholarGateНабір даних ↗ |
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