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written by Jun-ichiro Yasuda, Naohiro Mae, Michael M. Hull, and Masa-aki Taniguchi
As a method to shorten the test time of the Force Concept Inventory (FCI), Computerized Adaptive Testing (CAT) is suggested. CAT is a test administered on a computer, where items (i.e. questions) are selected based on the responses of examinees to prior items. As a step of the development, we conducted analyses to find an optimal way for the administration of CAT with the FCI. Specifically, since CAT is based on Item Response Theory (IRT), we examined which IRT model is the most preferable. Using 2812 responses of the FCI of Japanese students, we estimated the item parameters of the One-, Two-, Three-, and Four-parameter logistic model of IRT and then we evaluated the statistics for the goodness of fit and for model selection. Based on the analysis, we suggest that the Two-parameter logistic model is the most preferable for the administration of CAT with the FCI.
Journal of Physics: Conference Series: Volume 1929, Issue 1, Pages 012009
Subjects Levels Resource Types
Classical Mechanics
- General
Education Foundations
- Assessment
= Conceptual Assessment
= Instruments
- Research Design & Methodology
= Data
= Evaluation
- Sample Population
- Student Characteristics
= Ability
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- Lower Undergraduate
- Reference Material
= Research study
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Access Rights:
Free access
License:
This material is released under a Creative Commons Attribution 4.0 license.
Rights Holder:
IOP Publishing Ltd.
DOI:
10.1088/1742-6596/1929/1/012009
Keywords:
FCI models, adaptive assessment, latent trait theory, psychometrics
Record Creator:
Metadata instance created February 15, 2022 by Adrian Madsen
Record Updated:
April 8, 2022 by Caroline Hall
Last Update
when Cataloged:
June 21, 2021
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AIP Format
J. Yasuda, N. Mae, M. Hull, and M. Taniguchi, , J. Phys. Conf. Ser. 1929 (1), 012009 (2021), WWW Document, (https://doi.org/10.1088/1742-6596/1929/1/012009).
AJP/PRST-PER
J. Yasuda, N. Mae, M. Hull, and M. Taniguchi, Analysis to Develop Computerized Adaptive Testing with the Force Concept Inventory, J. Phys. Conf. Ser. 1929 (1), 012009 (2021), <https://doi.org/10.1088/1742-6596/1929/1/012009>.
APA Format
Yasuda, J., Mae, N., Hull, M., & Taniguchi, M. (2021, June 21). Analysis to Develop Computerized Adaptive Testing with the Force Concept Inventory. J. Phys. Conf. Ser., 1929(1), 012009. Retrieved May 16, 2024, from https://doi.org/10.1088/1742-6596/1929/1/012009
Chicago Format
Yasuda, J, N. Mae, M. Hull, and M. Taniguchi. "Analysis to Develop Computerized Adaptive Testing with the Force Concept Inventory." J. Phys. Conf. Ser. 1929, no. 1, (June 21, 2021): 012009, https://doi.org/10.1088/1742-6596/1929/1/012009 (accessed 16 May 2024).
MLA Format
Yasuda, Jun-ichiro, Naohiro Mae, Michael Hull, and Masa-aki Taniguchi. "Analysis to Develop Computerized Adaptive Testing with the Force Concept Inventory." J. Phys. Conf. Ser. 1929.1 (2021): 012009. 16 May 2024 <https://doi.org/10.1088/1742-6596/1929/1/012009>.
BibTeX Export Format
@article{ Author = "Jun-ichiro Yasuda and Naohiro Mae and Michael Hull and Masa-aki Taniguchi", Title = {Analysis to Develop Computerized Adaptive Testing with the Force Concept Inventory}, Journal = {J. Phys. Conf. Ser.}, Volume = {1929}, Number = {1}, Pages = {012009}, Month = {June}, Year = {2021} }
Refer Export Format

%A Jun-ichiro Yasuda %A Naohiro Mae %A Michael Hull %A Masa-aki Taniguchi %T Analysis to Develop Computerized Adaptive Testing with the Force Concept Inventory %J J. Phys. Conf. Ser. %V 1929 %N 1 %D June 21, 2021 %P 012009 %U https://doi.org/10.1088/1742-6596/1929/1/012009 %O application/pdf

EndNote Export Format

%0 Journal Article %A Yasuda, Jun-ichiro %A Mae, Naohiro %A Hull, Michael %A Taniguchi, Masa-aki %D June 21, 2021 %T Analysis to Develop Computerized Adaptive Testing with the Force Concept Inventory %J J. Phys. Conf. Ser. %V 1929 %N 1 %P 012009 %8 June 21, 2021 %U https://doi.org/10.1088/1742-6596/1929/1/012009


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