2,606 research outputs found

    A Critical Review Of Post-Secondary Education Writing During A 21st Century Education Revolution

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    Educational materials are effective instruments which provide information and report new discoveries uncovered by researchers in specific areas of academia. Higher education, like other education institutions, rely on instructional materials to inform its practice of educating adult learners. In post-secondary education, developmental English programs are tasked with meeting the needs of dynamic populations, thus there is a continuous need for research in this area to support its changing landscape. However, the majority of scholarly thought in this area centers on K-12 reading and writing. This paucity presents a phenomenon to the post-secondary community. This research study uses a qualitative content analysis to examine peer-reviewed journals from 2003-2017, developmental online websites, and a government issued document directed toward reforming post-secondary developmental education programs. These highly relevant sources aid educators in discovering informational support to apply best practices for student success. Developmental education serves the purpose of addressing literacy gaps for students transitioning to college-level work. The findings here illuminate the dearth of material offered to developmental educators. This study suggests the field of literacy research is fragmented and highlights an apparent blind spot in scholarly literature with regard to English writing instruction. This poses a quandary for post-secondary literacy researchers in the 21st century and establishes the necessity for the literacy research community to commit future scholarship toward equipping college educators teaching writing instruction to underprepared adult learners

    The Individual And Their World

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    Anaerobic Digestion at Western Washington University

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    Anaerobic digestion (AD) is the process by which organic matter (such as food waste, manure, paper products, etc.) are broken down by bacteria in a contained system lacking oxygen. The decomposition in this environment produces the byproducts of digestate, which can be used as a liquid fertilizer, and biogas, which can be used in place of natural gas. The goal of anaerobic digestion at Western Washington University is to create a closed-loop waste system to process the pre-consumer and post-consumer organic food waste from the dining halls and use the resulting byproducts. This paper provides recommendations for anaerobic digestion at WWU

    Microcredentials to support PBL

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    Exploring Strategies for Measuring Team Innovation in Small Financial Business

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    Small financial business leaders cannot maintain a competitive advantage without effectively measuring work team innovation. The purpose of this qualitative exploratory multiple case study was to explore the strategies that small financial business leaders use to measure work team innovation to maintain a competitive advantage. The conceptual framework undergirding this study was Schumpeter’s innovation management theory. The research question asked what strategies small financial business leaders use to effectively measure work team innovation to maintain a competitive advantage. Interview data were collected from 15 small financial business leaders who employ less than 100 employees in Madison, Chester, Gibson, Henderson, and Crockett counties in west Tennessee and are members of a local Chamber of Commerce. Data analysis used descriptive coding method. The findings showed that small financial business leaders understand the importance of using innovation appropriately in their organization to maximize organizational performance on the work team level. Small financial business leaders acknowledged the effect COVID-19 had on the work environment and that the focus of their organization should be on the customers’ needs over the needs of their organization. This study’s positive social change implications could be that small financial businesses that use innovation appropriately in their organization might increase customer satisfaction and increase organizational success

    Image-based Decision Support Systems: Technical Concepts, Design Knowledge, and Applications for Sustainability

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    Unstructured data accounts for 80-90% of all data generated, with image data contributing its largest portion. In recent years, the field of computer vision, fueled by deep learning techniques, has made significant advances in exploiting this data to generate value. However, often computer vision models are not sufficient for value creation. In these cases, image-based decision support systems (IB-DSSs), i.e., decision support systems that rely on images and computer vision, can be used to create value by combining human and artificial intelligence. Despite its potential, there is only little work on IB-DSSs so far. In this thesis, we develop technical foundations and design knowledge for IBDSSs and demonstrate the possible positive effect of IB-DSSs on environmental sustainability. The theoretical contributions of this work are based on and evaluated in a series of artifacts in practical use cases: First, we use technical experiments to demonstrate the feasibility of innovative approaches to exploit images for IBDSSs. We show the feasibility of deep-learning-based computer vision and identify future research opportunities based on one of our practical use cases. Building on this, we develop and evaluate a novel approach for combining human and artificial intelligence for value creation from image data. Second, we develop design knowledge that can serve as a blueprint for future IB-DSSs. We perform two design science research studies to formulate generalizable principles for purposeful design — one for IB-DSSs and one for the subclass of image-mining-based decision support systems (IM-DSSs). While IB-DSSs can provide decision support based on single images, IM-DSSs are suitable when large amounts of image data are available and required for decision-making. Third, we demonstrate the viability of applying IBDSSs to enhance environmental sustainability by performing life cycle assessments for two practical use cases — one in which the IB-DSS enables a prolonged product lifetime and one in which the IB-DSS facilitates an improvement of manufacturing processes. We hope this thesis will contribute to expand the use and effectiveness of imagebased decision support systems in practice and will provide directions for future research

    An Ergonomic Approach for Esport Athletes: The Potential for Less Injury and Increased Occupational Performance

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    The purpose of developing the case study was to determine the satisfaction of implementing an ergonomic protocol tailored to esport athletes in addition to tracking improvements in performance through KovaaK’s tracking trainer while reducing the risk of repetitive strain injuries. Occupational therapists are trained to assess individuals with a holistic lens while treating the deficits that prevent them from living a meaningful life. Occupational therapists advise ergonomically correct positioning for their clients to decrease the risk of injury and to optimize the person’s performance. There is a need for an ergonomic protocol tailored to esport athletes because of the increase in players leading to a high incidence of injuries due to the high number of hours they train. Esports has increased exponentially in popularity over recent years, and the growing population of esport athletes require more medical professionals to attend to the unique needs of this field. The esport ergonomic protocol was implemented with the consent and participation of a selected member from the Overwatch 2 team from the University of Nevada, Las Vegas, at the Black Fire Innovation Esports Arena. The protocol\u27s effectiveness was measured through a post-structured and semi-structured interview after an eight-week period. Additionally, the KovaaKs tracking trainer will assess the member’s aiming performance, in person, during weeks one, four, and eight of the protocol’s implementation. This capstone study suggests that if esport athletes focus on caring for themselves during training and competitive hours through implementation of an ergonomic protocol repetitive strain injuries can be prevented and higher level of performance can be achieved

    If I Can\u27t Predict My Future, Why Can AI? Exploring Human Interaction with Predictive Analytics

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    This research study seeks to understand how AI-based chatbots can potentially be leveraged as a tool in a PSYOP. This study is methodologically driven as it employs validated scales concerning suggestibility and human-computer interaction to assess how participants interact with a specific AI chatbot, Replika. Recent studies demonstrate the capability of GPT-based analytics to influence user’s moral judgements, and this paper is interested in exploring why. Results will help draw conclusions regarding human interaction with predictive analytics (in this case a free GPT-based chatbot, Replika) to understand if suggestibility (how easily influenced someone generally is) impacts the overall usability of AI chatbots. This project will help assess how much of a concern predictive AI chatbots should be considered as virtual AI influencers and other bot-based propaganda modalities emerge in the contemporary media environment. This study uses the CASA paradigm, medium theory, and Boyd’s theory of conflict to explore how factors that often drive human computer interaction— like anthropomorphic autonomy and suspension of disbelief— potentially relate to suggestibility or chatbot usability. Overall, this study is interested in specifically exploring if suggestion can predict usability in AI chatbots
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