Digital Commons@Lindenwood University
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    19137 research outputs found

    Lindenwood University Choir images (2024-2025).

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    https://digitalcommons.lindenwood.edu/choir2024-2025/1008/thumbnail.jp

    Lindenwood University Choir images (2024-2025).

    No full text
    https://digitalcommons.lindenwood.edu/choir2024-2025/1016/thumbnail.jp

    Lindenwood University Choir images (2024-2025).

    No full text
    https://digitalcommons.lindenwood.edu/choir2024-2025/1017/thumbnail.jp

    NextGen Humanities: A Digital Art History Pedagogical Revolution

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    In response to the urgent need for more accessible, inclusive, and technologically relevant humanities education, the NextGen Humanities project was conceived as a digital initiative to reimagine pedagogical practices within art history and the broader humanities. Traditional perceptions of humanities disciplines as elite and static have contributed to declining engagement, necessitating innovative solutions that integrate open-access resources, digital tools, and inclusive frameworks. This project developed a publicly accessible platform curating free, vetted resources grounded in artificial intelligence (AI), virtual reality (VR), and open educational resources (OER), emphasizing critical engagement, cultural inclusivity, and technological adaptability. Methodologically, NextGen Humanities combined extensive literature reviews, platform design based on user-centered accessibility principles, and a five-part evaluative framework for resource inclusion, prioritizing pedagogical impact, inclusivity, historical authenticity, ethical considerations, and community collaboration. Early implementation demonstrated that integrating emerging technologies meaningfully into humanities education can broaden access, amplify marginalized voices, and foster dynamic, participatory learning environments. Despite challenges including resource limitations, technological access disparities, and the need for faculty development in digital pedagogy, the project illustrates a viable model for democratizing humanities education in the digital age. NextGen Humanities thus contributes substantively to reshaping educational norms, advancing equity, and sustaining the relevance of the humanities in an era defined by rapid technological and social transformation

    Simulating Chill: Exploring the Cognitive and Therapeutic Potential of Cold VR Environments

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    This study investigates the cognitive and therapeutic potential of immersive virtual reality (VR) environments designed to simulate cold conditions. Through the engagement of participants through multisensory stimuli—including vivid visual representations of the Athabasca Glacier, auditory effects of icy winds, and corresponding haptic feedback—the research evaluates neurological and physiological responses associated with attention, emotional regulation, and stress modulation. Participants experienced virtual scenarios featuring icy winds and snow, activating specific neurological pathways involving the occipital lobe, primary visual cortex, superior colliculus, and insula, thus reinforcing sensory integration. Through predictive coding, the anterior insula and hypothalamus were engaged, prompting thermoregulatory simulations and subconscious adaptive behaviors, such as arm-crossing. Emotional processing mediated by the amygdala and prefrontal cortex, combined with neurotransmitter releases (serotonin and dopamine), facilitated enhanced relaxation and mindfulness. Utilizing pre- and post-experience surveys, the study assessed participant-reported changes in attention, stress, and emotional regulation following exposure to simulated cold stimuli. Preliminary findings suggest significant benefits for attentional focus, stress reduction, and emotional regulation, highlighting the potential efficacy in therapeutic applications and workplace productivity optimization. This research underscores the broader implications of environmental simulation through VR, inviting further exploration into its neuroscientific mechanisms and practical applications for enhanced cognitive and emotional well-being

    Scaffolded Integration: Aligning AI Literacy with Authentic Assessment through a Revised Taxonomy in Education

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    The accelerating prevalence of generative artificial intelligence in educational and professional spheres necessitates a reevaluation of when and how such technologies are introduced within pedagogical practice. The principal challenge for educators is not merely the imperative to prepare students for an AI-driven world, but rather to ensure that assessment practices remain authentic—providing an accurate measure of what students can independently achieve before leveraging the augmentation potential of intelligent systems. This article contends that the incremental introduction of AI, mapped onto a scaffolded framework aligned with a revised Bloom’s Taxonomy, constitutes a methodologically sound approach for maintaining academic integrity, fostering transferable skills, and developing true AI literacy. In this model, student abilities and conceptual knowledge occupy a privileged position; only after demonstrable independent proficiency can AI tools be used to extend, refine, and synthesize student work. This phased model is not merely a theoretical exercise, but an actionable policy framework that incorporates formative assessment, transparency, process documentation, and ethical use as core design principles. By situating AI as both a tutor and collaborator—never a surrogate for student cognition—educators can ensure that learners are equipped to navigate the epistemological, ethical, and professional challenges of a world shaped by automated intelligence. The analysis draws upon constructivist pedagogy, authentic assessment theory, Universal Design for Learning, and current research on educational technology adoption, proposing practical strategies to preserve both rigor and relevance in a rapidly evolving landscape

    Lindenwood Digest, June 25, 2025

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    The Lindenwood Digest has been a digital employee newsletter since 2009

    Cinematic Algorithms: The Rise of Generative AI in Video Art and Visual Culture

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    This book explores the groundbreaking integration of generative artificial intelligence into filmmaking and visual storytelling. From democratizing video production to reshaping aesthetics, this book highlights the creative revolution AI offers. Through case studies, interviews with innovative artists, and historical perspectives, it examines how intelligent systems enhance creativity while challenging traditional notions of authorship and originality. With practical guides and forward-looking insights, this volume is essential for anyone curious about the intersection of technology and visual culture, offering a vivid portrait of the future of storytelling in an AI-driven world

    Gibberlin in Millet Physiology

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    Gibberellin is a hormone in plants that affects growth. Gibberellin works to begin germination in grass seeds by stimulating amylase production. It may be possible to use gibberellin to understand why different millet variants exhibit dwarf growth. We grew and treated 4 different dwarf variants with a gibberellic acid solution to identify the ability of each plant to utilize gibberellin. We compared the growth in millet grown both with and without the solution to see the effects of gibberellin on each variant. Dwarf millets may not produce their own gibberellin, or they may lack the receptors to utilize gibberellin. Our goal is to determine which dwarf category each of our millet variants falls into. We found that in most cases, gibberellin did affect the growth of dwarf millet variants

    Dietary preferences and food-seeking behavior of discoid cockroaches, Blaberus discoidalis

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    Blaberus discoidalis, commonly known as discoid cockroaches, are native to South American tropics where they consume leaf litter and decaying organic matter on forest floors. This experiment expands upon previous research concerning the diet preference of discoid cockroaches based on their loitering time when presented with different food types. Utilizing their preferred foods, peanuts, leaf litter, and banana, this experiment aims to determine how much of each food is being consumed to further support their diet preferences

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