University of Southern Maine

University of Southern Maine: Digital Commons@USM
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    28130 research outputs found

    Unicorn Island

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    Created by a 4th grade student from Marshwood Great Works School in South Berwick.https://digitalcommons.usm.maine.edu/mapmaking-contest-2025/1245/thumbnail.jp

    The Larkin Islands

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    Created by a 4th grade student from Marshwood Great Works School in South Berwick.https://digitalcommons.usm.maine.edu/mapmaking-contest-2025/1248/thumbnail.jp

    Fairyland Island

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    Created by a 4th grade student from Marshwood Great Works in South Berwick.https://digitalcommons.usm.maine.edu/mapmaking-contest-2025/1254/thumbnail.jp

    Map of Bulgaria

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    Created by a 6th grade student from York Middle School in York.https://digitalcommons.usm.maine.edu/mapmaking-contest-2025/1272/thumbnail.jp

    Preppy Island

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    Created by a 6th grade student from York Middle School in York.https://digitalcommons.usm.maine.edu/mapmaking-contest-2025/1281/thumbnail.jp

    The USA

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    Created by a 4th grade student from Wentworth, Scarborough in Scarborough.https://digitalcommons.usm.maine.edu/mapmaking-contest-2025/1319/thumbnail.jp

    Lion Island

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    Created by a 5th grade student from Marshwood Great Works School in South Berwick.https://digitalcommons.usm.maine.edu/mapmaking-contest-2025/1328/thumbnail.jp

    Husky Snow Island

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    Created by a 4th grade student from Marshwood Great Works School in Eliot.https://digitalcommons.usm.maine.edu/mapmaking-contest-2025/1342/thumbnail.jp

    Theorizing the future of generative AI in education

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    This special issue presents theoretical investigations on the future of generative AI (GenAI) in education. We initiated the call for papers for this collection shortly after the release of the first ChatGPT in November of 2022. Since then, GenAI tools and products that use machine learning are rapidly proliferating across education, work, and daily life with uneven effects. As a public concept, the term GenAI possesses almost mythic status, suggesting that heretofore singularly human abilities of creation – of text, images, art, music – can be equally or better achieved by machines. But the term ‘GenAI’ is not uniform or without complications. Designed for a range of uses, these tools vary in their complexity and accuracy. No single GenAI tool is fully transparent; the black box problem acknowledges that its operations often elude technologists. Meanwhile, generative AI is quickly becoming more autonomous

    Withdrawal Management in Maine: Capacity Challenges and Opportunities for Improvement

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    This summary report presents findings from healthcare provider interviews conducted in 2024 to assess the current landscape of withdrawal management (WM) services in Maine. Sixteen providers, across eight counties and representing a range of substance use disorder (SUD) service types, were interviewed to evaluate capacity, challenges, and opportunities for improvement across the continuum of care. Thematic analysis identified widespread gaps in withdrawal management capacity, especially in ASAM Levels 1.7 to 4.0, with critical shortages in ambulatory and low-intensity residential services. Key barriers included geographic inequities, insufficient infrastructure, long waitlists, inadequate reimbursement, and workforce shortages exacerbated by stigma and provider discomfort. Providers emphasized the lack of step-down services following detox, limited support for individuals transitioning between public and private insurance, and persistent social determinants such as transportation and housing instability. The report concludes that expanding withdrawal management services and addressing systemic, financial, and logistical barriers are essential to improving access, continuity, and outcomes for individuals with SUD in Maine. For more information, please contact Lindsey Smith at [email protected]

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    University of Southern Maine: Digital Commons@USM
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