2,689 research outputs found

    UMSL Bulletin 2023-2024

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    The 2023-2024 Bulletin and Course Catalog for the University of Missouri St. Louis.https://irl.umsl.edu/bulletin/1088/thumbnail.jp

    Graduate Catalog of Studies, 2023-2024

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    Visualizing the Academic Library of the Future Based on Collections, Spaces, Technologies, and Services

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    This paper analyzed the literature on collection development, space planning, futuristic technologies, and information services related to academic libraries. The content analysis method was applied to review these papers. The selected papers for review have the potential to influence the future of academic libraries. This review of the related studies shows that the academic library has evolved into a hybrid model, combining traditional collections and a modern, sophisticated knowledge warehouse. It is predicted that the future library will be a place for aesthetic, emotion-rich social centers and will act as a knowledge refinery. Developing innovative technologies and services and improving the skills of library staff are significant challenges for the future. This study has designed a new conceptual framework in this area, identifying the possible scenarios for future academic libraries

    2023-2024 academic bulletin & course catalog

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    University of South Carolina Aiken publishes a catalog with information about the university, student life, undergraduate and graduate academic programs, and faculty and staff listings

    Atlas

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    Public libraries want to contribute to an inclusive and innovative society and aim to enable their patrons to acquire the necessary 21st century skills. Dutch public libraries are therefore gradually adding more and more activities to their curriculum, teaching these different types of skills, such as ‘invention literacy’. They also often provide a ‘performative space’ (i.e. a makerspace) for their patrons. This means library spaces are no longer dominated by books, but rather reflect the current development in libraries’ core business, moving from collections to connections in order to serve their local communities. The KB, the National Library of The Netherlands, participated in the KIEM1 project Performative Spaces in Dutch Public Libraries. Stepping Stones of Inclusive Innovation, researching the development of performative spaces in libraries. This project, a collaboration with the Faculty of Architecture and the Built Environment at the Delft University of Technology, fits the KBs strategic interests in providing an innovative and socially aware library system

    Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation

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    As an indispensable personalized service in Location-based Social Networks (LBSNs), the next Point-of-Interest (POI) recommendation aims to help people discover attractive and interesting places. Currently, most POI recommenders are based on the conventional centralized paradigm that heavily relies on the cloud to train the recommendation models with large volumes of collected users' sensitive check-in data. Although a few recent works have explored on-device frameworks for resilient and privacy-preserving POI recommendations, they invariably hold the assumption of model homogeneity for parameters/gradients aggregation and collaboration. However, users' mobile devices in the real world have various hardware configurations (e.g., compute resources), leading to heterogeneous on-device models with different architectures and sizes. In light of this, We propose a novel on-device POI recommendation framework, namely Model-Agnostic Collaborative learning for on-device POI recommendation (MAC), allowing users to customize their own model structures (e.g., dimension \& number of hidden layers). To counteract the sparsity of on-device user data, we propose to pre-select neighbors for collaboration based on physical distances, category-level preferences, and social networks. To assimilate knowledge from the above-selected neighbors in an efficient and secure way, we adopt the knowledge distillation framework with mutual information maximization. Instead of sharing sensitive models/gradients, clients in MAC only share their soft decisions on a preloaded reference dataset. To filter out low-quality neighbors, we propose two sampling strategies, performance-triggered sampling and similarity-based sampling, to speed up the training process and obtain optimal recommenders. In addition, we design two novel approaches to generate more effective reference datasets while protecting users' privacy

    Towards Mobility Data Science (Vision Paper)

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    Mobility data captures the locations of moving objects such as humans, animals, and cars. With the availability of GPS-equipped mobile devices and other inexpensive location-tracking technologies, mobility data is collected ubiquitously. In recent years, the use of mobility data has demonstrated significant impact in various domains including traffic management, urban planning, and health sciences. In this paper, we present the emerging domain of mobility data science. Towards a unified approach to mobility data science, we envision a pipeline having the following components: mobility data collection, cleaning, analysis, management, and privacy. For each of these components, we explain how mobility data science differs from general data science, we survey the current state of the art and describe open challenges for the research community in the coming years.Comment: Updated arXiv metadata to include two authors that were missing from the metadata. PDF has not been change

    A Narrative Case Study Exploring The Preparation Experiences of Novice Teachers In Urban Elementary Schools

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    Title from PDF of title page, viewed June 21, 2023Dissertation advisor: Jennifer WaddellVitaIncludes bibliographical references (pages 355-419)Dissertation (Ph.D.)--Division of Curriculum and Instruction, Division of Educational Leadership, Policy and Foundations. University of Missouri--Kansas City, 2023Literature has shown that qualified, effective, and confident teachers are the number one predictor of student success inside the classroom. Students in urban schools experience a greater number of inexperienced or qualified teachers than their peers, which has and currently is creating a social justice crisis in our nation. The reality of staff shortages and the amount of teacher attrition is extremely alarming, especially for students in urban school contexts. Teachers are leaving the profession because they are unprepared. Research suggests that teacher preparation must focus on preparing teachers through culturally and contextually responsive teaching and building critical competency for effective urban educators (Gay, 2010; Hollins, 2012; Howard & Milner, 2014). The purpose of this narrative case study was to understand novice teachers’ preparation for teaching in an urban elementary school setting. The unit of analysis was the preparation of pre-service teachers’ education experiences. This study examined the question: What stories do novice teachers tell about their preparedness to teach in an urban school? Data were collected from six novice teachers who were within the first three years of their teaching career. Data collection consisted of an initial survey and two face-to-face interviews. The secret, sacred, and cover stories told by participants revealed five major narrative themes, including (a) Field Experiences, (b) Exposure to Culturally Relevant Practices, (c) Reflective Practices, (d) Life Experiences, and (e) Relationships with Faculty. The stories and implications described in this dissertation offer perspective for teacher preparation programs and leadership in urban school contexts.Introduction -- Literature review -- Methodology -- Findings -- Research findings -- Conclusio

    Graduate Catalog of Studies, 2022-2023

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    Black Women's Experiences with Mindfulness, Distress, and Superwoman Schema

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    This dissertation embarks on an exploration of Black women's experiences with mindfulness, distress, and Superwoman Schema (SWS) through two approaches. The first approach utilizes bivariate correlations and regressions between dispositional mindfulness, depressive symptoms, and endorsement of dimensions of SWS in a sample of African American women (AAW) with elevated cardiometabolic risk, moderate endorsement of SWS, and report some significant stress in their lives. The second approach engages Black Feminist Autoethnography, a novel conceptualization of the practice of autoethnography with groundings in Black Feminist Thought, to explore the researcher's lived experiences with mindfulness, distress, and SWS. Findings from this dissertation reveal that endorsement of dimensions of SWS are inversely associated with dispositional mindfulness and positively associated with depressive symptoms in a sample of AAW. Overall, we see that an intense motivation to succeed despite limited resources and prioritization of caregiving over self-care are positively associated with depressive symptoms and inversely associated with dispositional mindfulness when controlling for age, body mass index (BMI) income, and participant and parent's education. We also see that dimension one of SWS, an obligation to manifest strength, is not associated with distress or dispositional mindfulness which further illuminates the paradoxical nature of the phenomena of SWS. The researcher's lived experiences implicate mindfulness as a culturally-relevant practice capable of intervening on experiences of distress and transforming embodiment of the SWS. Implications from this study point to mind-body dualism and racial capitalism as systems of oppression contributing to the experience of stress-related health outcomes among African American women.Doctor of Philosoph
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