The Question Complexity Rubric: Development and Application for a National Archive of Astro 101 Multiple-Choice Questions

Statistics – Applications

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Scientific paper

For the last two years we have been developing an online national archive of multiple-choice questions for use in the Astro 101 classroom. These questions are intended to either supplement an instructor's implementation of Think-Pair-Share or be used for assessment purposes (i.e. exams and homework). In this talk we will describe the development, testing and implementation of the Question Complexity Rubric (QCR), which is designed to guide the ranking of questions in this archive based on their conceptual complexity. Using the QCR, a score is assigned to differentiate each question based on the cognitive steps necessary to comprehensively explain the reasoning pathway to the correct answer. The lowest QCR score is given to questions with a reasoning pathway requiring only declarative knowledge whereas the highest QCR score is given to questions that require multiple pathways of multi-step reasoning. When completed, the online question archive will provide users with the utility to 1) search for and download questions based on subject and average QCR score, 2) use the QCR to score questions, and 3) add their own questions to the archive. We will also discuss other potential applications of the QCR, such as how it informs our work in developing and testing of survey instruments by allowing us to calibrate the range of question complexity.
This material is based upon work supported by the National Science Foundation under Grant No. 0715517, a CCLI Phase III Grant for the Collaboration of Astronomy Teaching Scholars (CATS). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.

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