Grand Valley State University

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    24297 research outputs found

    Disarming the Deficit: Creating a Positive Disabled Community on Campus

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    In the United States, the number of individuals with disabilities who pursue a college degree has increased. According to Wagner et al. (2018), 26% of people with disabilities pursued postsecondary education, whether at a two-year (20%) or four-year program (6%). Retention of students with disabilities, however, remains an issue. 41% of all college students with disabilities left school before graduation compared to 33% of their typically abled peers. Disabled students are also more likely to struggle with loneliness and isolation on campus due to a lack of sense of belonging. Having a strong campus community leads to better retention and graduation rates. Creating a space where disabled students can have community with one another is imperative and is shown to improve loneliness, isolation, and other negative symptoms. This project outlines the creation of Disabled Students Supporting Each Other (DSSE), a support group for disabled students on Grand Valley State University’s campus. DSSE will provide disabled student a place to connect with one another, a place where they are in control of their own narratives and get to tell their own story

    Electronic Health Record Integration at a Primary Care Medical Home: A Quality Improvement Project

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    The advent of electronic health records provided healthcare organizations with opportunities to seek innovative solutions to improve patient care while maintaining quality and efficiency by eliminating paper-based documentation. Paper-based documentation is associated with missing, illegible or inaccurate data, integration difficulties, and delays in information processing (IOM, 1997). A primary care medical home in a rural Midwest community is exploring using an electronic form to replace their paper documentation to capture patient-reported Review of Systems (ROS) data for adults presenting to their annual physical exams. A quality improvement project was implemented at this clinic to improve the capture of patient-reported ROS data using electronic tablets. A chi-squared analysis of 200 abstracted charts showed a statistically significant difference between the paper-based and electronic forms related to form completion. The electronic-based ROS form improved capture of patient-reported ROS data at this clinic and empirically improved patient and provider satisfaction

    Engaging Youth in Philanthropic Practice: Field-Building Strategies and the Promise of Youth-Possible Philanthropy™

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    Traditional philanthropy has largely been top-down, with communities — including youth — having limited decision-making power. Despite philanthropy’s recent shift toward participatory approaches, young people in these historically excluded communities are often ignored as contributors to philanthropic strategy. Youth-Possible Philanthropy™ (YPP) offers a new, emerging theoretical framework that proposes to shift this dynamic by positioning youth as co-creators and possibility catalysts in philanthropic governance and strategy. YPP is grounded in possibility development, participatory approaches, and trust-based philanthropy. The article provides strategies for operationalizing YPP. Case examples illustrate how YPP can foster authentic power-sharing and bridge gaps in philanthropic practice

    Effect of Using Machine Learning to Improve Active Suspension Control for Vehicle Stability

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    This study demonstrates that it is possible to use road surface classification as a means of informing active suspension systems in order to limit their activity. An approach was taken to improve the response of an active suspension control system by classifying road surfaces in near real time. A control system model was developed to represent a full-body vehicle, and an AI was used to analyze road vibration noise. The model was adapted to allow the AI to select from multiple control signals based on the AI’s analysis of road vibration noise. The objective of the study was to demonstrate whether an AI could limit the use of an active suspension system to periods of where vibration energy from a road surface exceeded an identifiable threshold. The AI was successful in classifying road surfaces and in using that classification to identify whether vibration energy exceeded a specified threshold. The AI was subsequently successful in using the adapted control model to limit the use of the active suspension system to periods of activity in which vibration noise exceeded the specified threshold

    President-Elect’s Message…

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    From Assessment to Action: The Role of Data in Shaping Tiered Literacy Instruction

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    Abstract This project supports educators in identifying students’ literacy needs and implementing targeted, evidence-based interventions through a user-friendly, data-driven approach grounded in the Response to Intervention (RTI) framework and the Science of Reading. By enabling educators to input and analyze commonly available assessment data, the project aims to make data-informed instruction accessible even to those with limited training in data literacy. A digital tracking tool will monitor individual student progress across key reading domains (phonemic awareness, phonics, fluency, and comprehension), allowing for the creation of flexible, skill-based instructional groups. The project includes an intervention guide with links to research-based activities tailored to specific skill deficits, supporting the delivery of Tier 2 and Tier 3 interventions when students do not respond to high-quality Tier 1 instruction. Weekly or biweekly progress monitoring will inform instructional adjustments in real time, ensuring timely support. Drawing on research by Burns et al. (2024), Vaughn et al. (2009), and others, the project underscores the importance of data-based decision-making (DBDM) in improving reading outcomes and meeting federal mandates. Evaluation will be conducted through student growth data and teacher feedback, with the goal of creating a sustainable, scalable model that enhances reading proficiency across diverse student populations

    Investigation of a divergent triangle construct for internal fixation of vertical femoral neck fractures using experimental and finite element analysis methods

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    Hip fractures are a significant public health issue as they are a commonly encountered problem and have a high rate of mortality. The fracture of the femoral neck is difficult to treat due to the geometry of the proximal femur and the weight-bearing capacity that the structure must comply with. Internal fixation of the femoral neck is often accomplished with three screws inserted along the axis of the femoral neck. The optimal configuration and number of these screws is not agreed upon in the literature. The purpose of this study was to conduct a pilot investigation on the biomechanical performance of a novel, divergent triangle screw construct for internal fixation of femoral neck fractures using experimental methods and finite element analysis (FEA) in comparison to the standard inverted triangle construct. For the experimental portion, composite femur models were osteotomized using a custom-made cutting jig to simulate a Pauwels angle of 50 degrees, and the distal portion of the femur was removed. Specimens were placed at 20 degrees of adduction to simulate one-legged stance in the MTS material testing machine. Four specimens from each group were cyclically loaded for 10,000 cycles at 1 Hz with a force of 1000 N. Additionally, four specimens from each group were loaded cyclically at 1 Hz, then subsequently subjected to 10,000 cycles at 4.3 kN. All specimens surviving cyclic loading were loaded till failure. FEA was used to quantify the stress distribution and displacement of the divergent and inverted triangle constructs, providing an additional insight into their biomechanical stability. The experimental results showed that the inverted triangle had lower displacements during cyclic loading and on average a higher failure load, suggesting an advantage in construct stability and load bearing, however, due to a small sample size there was no statistical difference between the two groups. The FEA model revealed comparable equivalent stress distribution and deformation between the two fixation constructs, with the divergent triangle showing advantages in cancellous bone stress distribution but higher screw stresses, while the inverted triangle demonstrated reduced fracture surface displacement. Both constructs provided sufficient stability to support primary bone healing

    Executive Director’s Message…

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    Books That Belong: Diverse Stories for Michigan’s Literacy Equity Journey

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    The Red Shoes: Where Art and Reality Dance in Tandem

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