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Abstract Title: Development of a quantum computing conceptual assessment using the Rasch model
Abstract Type: Contributed Poster Presentation
Abstract: With the growth of quantum information science (QIS) and the push for a quantum-literate workforce, we have seen the rapid development of new QIS courses across disciplines and degree levels. Essential to the progress of QIS education is the ability to measure student understanding of relevant concepts. Here, we present the development of the Quantum Computing Conceptual Survey (QCCS), a research-based assessment (RBA) designed to measure student understanding of quantum computing fundamentals. In PER, RBAs have historically been validated using classical test theory. While item-response theory has seen increased use in recent years, it has primarily been used for retrospective analyses. In contrast, the QCCS was developed from the outset using the Rasch model and grounded in the principle of objective measurement. We discuss the process of using the Rasch model to guide development of an RBA and the benefits and constraints of using this approach.
Session Time: Poster Session A
Poster Number: A-128

Author/Organizer Information

Primary Contact: Molly Griston
University of Colorado Boulder
Boulder, CO 80303
Phone: 9256990253
Co-Author(s)
and Co-Presenter(s)
Josephine C. Meyer, University of Colorado Boulder
Gina Passante, California State University Fullerton
Steven J. Pollock, University of Colorado Boulder
Bethany R. Wilcox, University of Colorado Boulder