The Science and Information (SAI) Organization
  • Home
  • About Us
  • Journals
  • Conferences
  • Contact Us

Publication Links

  • IJACSA
  • Author Guidelines
  • Publication Policies
  • Digital Archiving Policy
  • Promote your Publication
  • Metadata Harvesting (OAI2)

IJACSA

  • About the Journal
  • Call for Papers
  • Editorial Board
  • Author Guidelines
  • Submit your Paper
  • Current Issue
  • Archives
  • Indexing
  • Fees/ APC
  • Reviewers
  • Apply as a Reviewer

IJARAI

  • About the Journal
  • Archives
  • Indexing & Archiving

Special Issues

  • Home
  • Archives
  • Proposals
  • Guest Editors
  • SUSAI-EE 2025
  • ICONS-BA 2025
  • IoT-BLOCK 2025

Computing Conference

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Intelligent Systems Conference (IntelliSys)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Computer Vision Conference (CVC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact
  • Home
  • Call for Papers
  • Editorial Board
  • Guidelines
  • Submit
  • Current Issue
  • Archives
  • Indexing
  • Fees
  • Reviewers
  • Subscribe

DOI: 10.14569/IJACSA.2021.0121207
PDF

On Validating Cognitive Diagnosis Models for the Arithmetic Skills of Elementary School Students

Author 1: Hyejung Koh
Author 2: Wonjin Jang
Author 3: Yongseok Yoo

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 12, 2021.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: Cognitive diagnosis models (CDMs) have been shown to provide detailed evaluations of students’ achievement in terms of proficiency of individual cognitive attributes. Attribute hierarchy model (AHM), a variant of CDM, takes the hierarchical structure of those cognitive attributes to provide more accurate and interpretable measurements of learning achievement. However, advantages of the richer model come at the expense of increased difficulty in designing the hierarchy of the cognitive attributes and developing corresponding test sets. In this study, we propose quantitative tools for validating the hierarchical structures of cognitive attributes. First, a method to quantitatively compare alternative cognitive hierarchies is established by computing the inconsistency between a given cognitive hierarchy and students’ responses. Then, this method is generalized to validate a cognitive hierarchy without real responses. Numerical simulations were performed starting from an AHM designed by experts and responses of elementary school students. Results show that the expert-designed cognitive attribute explains the students’ responses better than most of alternative hierarchies do, but not all; a superior cognitive hierarchy is identified. This discrepancy is discussed in terms of internalization of cognitive attributes.

Keywords: Cognitive diagnosis model; attribute hierarchy model; cognitive hierarchy; model validation

Hyejung Koh, Wonjin Jang and Yongseok Yoo, “On Validating Cognitive Diagnosis Models for the Arithmetic Skills of Elementary School Students” International Journal of Advanced Computer Science and Applications(IJACSA), 12(12), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0121207

@article{Koh2021,
title = {On Validating Cognitive Diagnosis Models for the Arithmetic Skills of Elementary School Students},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0121207},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0121207},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {12},
author = {Hyejung Koh and Wonjin Jang and Yongseok Yoo}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

IJACSA

Upcoming Conferences

IntelliSys 2025

28-29 August 2025

  • Amsterdam, The Netherlands

Future Technologies Conference 2025

6-7 November 2025

  • Munich, Germany

Healthcare Conference 2026

21-22 May 2026

  • Amsterdam, The Netherlands

Computing Conference 2026

9-10 July 2026

  • London, United Kingdom

IntelliSys 2026

3-4 September 2026

  • Amsterdam, The Netherlands

Computer Vision Conference 2026

15-16 October 2026

  • Berlin, Germany
The Science and Information (SAI) Organization
BACK TO TOP

Computer Science Journal

  • About the Journal
  • Call for Papers
  • Submit Paper
  • Indexing

Our Conferences

  • Computing Conference
  • Intelligent Systems Conference
  • Computer Vision Conference
  • Healthcare Conference

Help & Support

  • Contact Us
  • About Us
  • Terms and Conditions
  • Privacy Policy

© The Science and Information (SAI) Organization Limited. All rights reserved. Registered in England and Wales. Company Number 8933205. thesai.org