A multidimensional Bayesian IRT method for discovering misconceptions from concept test data
We present an exploratory method for discovering likely misconceptions from multiple-choice concept test data, as well as preliminary evidence that this method recovers known misconceptions from real student responses. Our procedure is based on a Bayesian implementation of the Multidimensional Nomin...
Saved in:
Main Authors: | Martin Segado, Aaron Adair, John Stewart, Yunfei Ma, Byron Drury, David Pritchard |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2025-01-01
|
Series: | Frontiers in Psychology |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2025.1506320/full |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Analysis of the Misconceptions Taking Accounting Education Students About Accounting Education: Example of TRB 1 Region
by: Özcan Demir, et al.
Published: (2024-12-01) -
Students' misconceptions in algebraic concepts: A four-tier diagnostic test approach
by: Hestu Wilujeng, et al.
Published: (2025-02-01) -
Analyzing the quality of multiple-choice questions in microbiology for second-year MBBS students
by: Gurjeet Singh, et al.
Published: (2024-12-01) -
Treatment of limb skin defect with self-made skin distractor
by: Gao Lei, et al.
Published: (2024-12-01) -
An Exploration of Students’ Misconceptions about the Concept ‘Classification of Animals’ at Secondary Level and Effectiveness of Inquiry Method for Conceptual Change
by: Anjum NAZ, et al.
Published: (2013-10-01)