6 research outputs found

    Quantitative Reasoning - Mathematical Modeling in the Sciences

    Get PDF

    21st Century STEM Reasoning

    Get PDF
    The Georgia Southern University Real STEM Project is collaborating with 10 middle and high schools on development and implementation of an interdisciplinary STEM research and design course that actively engages students in real-world problem solving. We will discuss the expected outcomes of such interdisciplinary STEM experiences which is the development of 21st century STEM reasoning. Examples of using authentic teaching strategies to promote complex systems reasoning, model-based reasoning, computational reasoning, engineering design-based reasoning, and quantitative reasoning will be shared with participants

    Quantitative Reasoning in Environmental Science: Rasch Measurement to Support QR Assessment

    Get PDF
    Original work is hosted at USF Libraries Scholar Commons publisher of Numeracy, the electronic journal of the National Numeracy Network (NNN). Abstract : The ability of middle and high school students to reason quantitatively within the context of environmental science was investigated. A quantitative reasoning (QR) learning progression, with associated QR assessments in the content areas of biodiversity, water, and carbon, was developed based on three QR progress variables: quantification act, quantitative interpretation, and quantitative modeling. Diagnostic instruments were developed specifically for the progress variable quantitative interpretation (QI), each consisting of 96 Likert-scale items. Each content version of the instrument focused on three scale levels (macro scale, micro scale, and landscape scale) and four elements of QI identified in prior research (trend, translation, prediction, and revision). The QI assessments were completed by 362, 6th to 12th grade students in three U.S. states. Rasch (1960/1980) measurement was used to determine item and person measures for the QI instruments, both to examine validity and reliability characteristics of the instrument administration and inform the evolution of the learning progression. Rasch methods allowed identification of several QI instrument revisions, including modification of specific items, reducing number of items to avoid cognitive fatigue, reconsidering proposed item difficulty levels, and reducing Likert scale to 4 levels. Rasch diagnostics also indicated favorable levels of instrument reliability and appropriate targeting of item abilities to student abilities for the majority of participants. A revised QI instrument is available for STEM researchers and educators

    Assessment of modeling skills

    Get PDF

    Panel Discussion

    No full text
    Engage in a conversation over breakfast with Robert “Bob” Mayes the Institute for Interdisciplinary STEM Education Director, The Center for Excellence in STEM Education iSTEM Consultant and conference key note Chris Anderson, Gilda Lyon Georgia Department of Education STEM Coordinator and Gulf Stream Executive David Mining about the impact of STEM in education and industry
    corecore