Issues of Question Equivalence in Online Exam Pools

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Title: Issues of Question Equivalence in Online Exam Pools
Language: English
Authors: Goolsby-Cole, Cody, Bass, Sarah M., Stanwyck, Liz, Leupen, Sarah, Carpenter, Tara S., Hodges, Linda C.
Source: Journal of College Science Teaching. Mar-Apr 2023 52(4):24-30.
Availability: National Science Teaching Association. 1840 Wilson Boulevard, Arlington, VA 22201-3000. Tel: 800-722-6782; Fax: 703-243-3924; e-mail: membership@nsta.org; Web site: https://www.nsta.org/
Peer Reviewed: Y
Page Count: 7
Publication Date: 2023
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Science Instruction, Computer Assisted Testing, Cheating, STEM Education, Test Items, Concept Formation, Scientific Concepts, Chemistry, Physics, Introductory Courses, Physiology, Science Achievement, Item Analysis, Science Tests, Biology, Majors (Students), Undergraduate Students, Learning Management Systems, Difficulty Level
ISSN: 0047-231X
1943-4898
Abstract: During the pandemic, the use of question pools for online testing was recommended to mitigate cheating, exposing multitudes of science, technology, engineering, and mathematics (STEM) students across the globe to this practice. Yet instructors may be unfamiliar with the ways that seemingly small changes between questions in a pool can expose differences in student understanding. In this study, we undertook an investigation of student performance on our questions in online exam pools across several STEM courses: upper-level physiology, general chemistry, and introductory physics. We found that the difficulty of creating analogous questions in a pool varied by question type, with quantitative problems being the easiest to vary without altering average student performance. However, when instructors created pools by rearranging aspects of a question, posing opposite counterparts of concepts, or formulating questions to assess the same learning objective, we sometimes discovered student learning differences between seemingly closely related ideas, illustrating the challenge of our own expert blind spot. We provide suggestions for how instructors can improve the equity of question pools, such as being cautious in how many variables one changes in a specific pool and "test driving" proposed questions in lower-stakes assessments.
Abstractor: As Provided
Entry Date: 2023
Access URL: https://www.nsta.org/journal-college-science-teaching/journal-college-science-teaching-marchapril-2023/issues-question
Accession Number: EJ1383886
Database: ERIC
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  Data: Issues of Question Equivalence in Online Exam Pools
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  Data: National Science Teaching Association. 1840 Wilson Boulevard, Arlington, VA 22201-3000. Tel: 800-722-6782; Fax: 703-243-3924; e-mail: membership@nsta.org; Web site: https://www.nsta.org/
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  Data: 7
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  Data: During the pandemic, the use of question pools for online testing was recommended to mitigate cheating, exposing multitudes of science, technology, engineering, and mathematics (STEM) students across the globe to this practice. Yet instructors may be unfamiliar with the ways that seemingly small changes between questions in a pool can expose differences in student understanding. In this study, we undertook an investigation of student performance on our questions in online exam pools across several STEM courses: upper-level physiology, general chemistry, and introductory physics. We found that the difficulty of creating analogous questions in a pool varied by question type, with quantitative problems being the easiest to vary without altering average student performance. However, when instructors created pools by rearranging aspects of a question, posing opposite counterparts of concepts, or formulating questions to assess the same learning objective, we sometimes discovered student learning differences between seemingly closely related ideas, illustrating the challenge of our own expert blind spot. We provide suggestions for how instructors can improve the equity of question pools, such as being cautious in how many variables one changes in a specific pool and "test driving" proposed questions in lower-stakes assessments.
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  Data: 2023
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    Languages:
      – Text: English
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      Pagination:
        PageCount: 7
        StartPage: 24
    Subjects:
      – SubjectFull: Science Instruction
        Type: general
      – SubjectFull: Computer Assisted Testing
        Type: general
      – SubjectFull: Cheating
        Type: general
      – SubjectFull: STEM Education
        Type: general
      – SubjectFull: Test Items
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      – SubjectFull: Concept Formation
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      – SubjectFull: Scientific Concepts
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      – SubjectFull: Chemistry
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      – SubjectFull: Science Achievement
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      – SubjectFull: Item Analysis
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      – TitleFull: Issues of Question Equivalence in Online Exam Pools
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