PERC 2025 Abstract Detail Page
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| Abstract Title: | Introducing the virtual Distraction Driven Development (D3) toolkit for developing Standardized Conceptual Learning Assessments (SCLAs) |
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| Abstract Type: | Contributed Poster Presentation |
| Abstract: | The Distraction Driven Development (D3) toolkit is a Shiny R-based application that enables Standardized Conceptual Learning Assessment (SCLA) developers to upload their data and instantly generate a comprehensive analysis report. The complete toolkit will support non-parametric approaches to Classical Test Theory (CTT), Item Response Theory (IRT), Differential Item Functioning (DIF), and Concentration Analysis (CA). Additional development tools will be added to D3 in the future. Currently, the tool focuses on Concentration Analysis, offering researchers a robust, interactive framework to guide SCLA development [2]. It accepts two csv inputs - student responses and an answer key- and produces item-level metrics, visualizations, and diagnostic tables based on the CA framework. This initial implementation of the CA module is open source, designed for transparency and flexibility, and supports tiered question formats common in conceptual assessments. This paper presents the functionality, technical design, and application of the CA module. |
| Session Time: | Poster Session C |
| Poster Number: | C-26 |
Author/Organizer Information | |
| Primary Contact: |
Mayuri Gilhooly University of New England Biddeford, ME |
| Co-Author(s) and Co-Presenter(s) |
Andrew J. Mason, University of Central Arkansas Liam G. McDermott, University of Connecticut Daniel Young, Westminster University Rebecca Lindell, Solutions for Higher Education |
Contributed Poster | |
| Contributed Poster: | Download the Contributed Poster |
