MCD-v2¶
Product or Programme · All products and programmes
Evidence · 3 claims (3 for) · 1 study (1 design),q2· 0 of 1 report an effect size · 3 claims rest on one study
Description¶
MCD-v2 is a computerized adaptive cognitive diagnostic test developed by Vy Le et al. to report college introductory-mechanics students' mastery of 14 fine-grained learning objectives during instruction.
Components¶
Claims¶
- The combined FCI, FMCE, and EMCS item bank covers all 14 learning objectives with at least six items each, mostly single- or two-LO items [+M]
- DINA models fit FCI and EMCS posttest data well but fit FMCE data only marginally [+M]
- The 14-LO attribute structure improved DINA model fit over MCD-v1's four-skill structure for all three RBAs [+W]
Related Products and Programmes¶
Key Sources¶
- Vy Le, Jayson M. Nissen, Jason W. Morphew, Hua Hua Chang, and Ben Van Dusen. (2026). Mechanics Cognitive Diagnostic: Testing Fine-Grained Learning Objectives in Introductory Physics. https://arxiv.org/abs/2609.09584
Page metadata
| Field | Value |
|---|---|
type |
product |
id |
mcd-v2 |
title |
MCD-v2 |
description |
MCD-v2 is a computerized adaptive cognitive diagnostic test developed by Vy Le et al. |
status |
review |
product_kind |
assessment |
generated |
by process:settle-candidates on 2026-10-11 |
trust |
unverified — no one has confirmed this page's content |
Frontmatter is the page's machine-readable record — see the Schema & Guide.