home - login - register

PERC 2025 Abstract Detail Page

Previous Page  |  New Search  |  Browse All

Abstract Title: Virtual Tools for Developing SCLAs: An Example of Concentration Analysis
Abstract Type: Contributed Poster Presentation
Abstract: Standardized Conceptual Learning Assessments (SCLAs) measure individuals' conceptual understanding using distractor-driven multiple-choice items. Concentration analysis (CA), a quantitative technique that evaluates the concentrations of each item's response distribution allowing researchers to determine how many models are triggered by each item [1], and can be utilized to help establish the validity of distractor driven items [2]. As part of the development of the Fluids Conceptual Evaluation (FCE), a distractor-driven two-tier multiple-choice evaluation instrument, the authors evaluated the concentration factors of a set of responses from the FCE's preliminary pilot test results. Results of this analysis show how many different mental models are triggered by each item's first tier. This paper demonstrates how the use of CA verifies recommended models, and suggests a similar model structure for concentration deviation. Recommendations for future use of concentration analysis will be made accordingly. Supported by NSF Award # 2021059 (AAPT), 2021261 (UNE) and 2021273 (UNH).
Footnote: [1] Bao, L., & Redish, E. F. (2001). Concentration analysis: A quantitative assessment of student states. American Journal of Physics, 69(S1), S45-S53.
[2] Lindell, R. S., & Olsen, J. P. (2002). Developing the Lunar Phases Concept Inventory. In 2002 PERC Proceedings [Boise, ID, August 7-8, 2002], edited by S. Franklin, K. Cummings, and J. Marx.
Session Time: Poster Session B
Poster Number: B-25
Contributed Paper Record: Contributed Paper Information
Contributed Paper Download: Download Contributed Paper

Author/Organizer Information

Primary Contact: Andrew J. Mason
University of Central Arkansas
Co-Author(s)
and Co-Presenter(s)
Liam G. E. McDermott, University of Connecticut, Avery Point
Mayuri Gilhooly, University of New England
Dawn Meredith, University of New Hampshire
James Vesenka, University of New England
D. J. Wagner, Grove City College
Daniel Young, Westminster University
Rebecca Lindell, Tiliadal Solutions

Contributed Poster

Contributed Poster: Download the Contributed Poster