Texas Digital Library

Scholarly Works @ SHSU (Sam Houston State University)
Not a member yet
    4449 research outputs found

    Parity for Detention & Enforcement Divisions within Sheriff�s Offices

    Get PDF
    There is a longstanding issue of disparity between the detention and enforcement divisions within Sheriff's Offices. Despite endorsements from the National Sheriff's Association and the American Jail Association since 1982, detention staff continue to face lower compensation, reduced access to training, and fewer leadership opportunities compared to their enforcement counterparts. This imbalance affects occupational prestige, advancement, recruitment, and retention in detention roles, leading to lower morale, a desire to transition to enforcement divisions, and an internal divide that diminishes the effectiveness of sheriff's offices. Detention is the backbone of the criminal justice system and the need for parity is a matter of internal equity and a critical factor in the efficacy of the criminal justice system. The disparities in compensation, occupational prestige, and opportunities for professional development contribute to recruitment and retention challenges which can be addressed through parity.LEMI

    Regular & Substantive Interaction: A Primer

    No full text
    Regular and Substantive Interaction (RSI) is a legal framework used by the U.S. Department of Education. As such, it serves as both a guardrail and a litmus test, distinguishing between distance education and correspondence education in the context of online education. Institutions of Higher Education (IHEs) who fail to insure that at least 50% of their online courses qualify as distance education run the risk of losing their DOE certification as distance education providers, and even of being compelled to repay Title IV monies to the government. Participants in this session will learn what is meant by RSI, what is the rule’s intent, who enforces it, what are the consequences of non-compliance, and how it applies to them

    Calm Down. We got This!

    No full text
    This presentation addresses the worry that Large Language Models (LLMs), such as ChatGPT, pose an existential threat to writing instruction, especially in online courses. I argue that the supposed threat is both not entirely new and a welcome disruption to the way writing instruction is typically delivered. This new technology seems to be prompting many instructors to question whether essay responses to paper prompts reflect students' own thinking and learning. This uneasiness is long overdue, and the hope is it leads instructors to explore evidence-based best practices familiar from the scholarship of teaching and learning. We’ve known for some time how to better teach our students to think and write. Perhaps the arrival of LLMs will get us to put these lessons into widespread practice

    Keynote Themed Conversation: Additional Insights and Innovative Examples

    No full text

    EXAMPLE: Application for Faculty Development Leave

    No full text
    The project description from a completed and successful application for faculty development leave.Applicant from the Dept. of Physics & Astronomy (COSET

    Leveraging Large Language Models for Behavior-Based Malware Detection Using Deep Learning

    Get PDF
    Malware poses significant threats through cybercrime, fraud, scams, and nation state cyberwarfare, often resulting in irreversible data loss and substantial economic damages. Traditional antivirus solutions, relying on signature-based and heuristic-based detections, struggle against zero-day attacks. Heuristic methods analyze the behavior of programs to detect potentially malicious patterns, yet they still fall short when facing sophisticated malware. Furthermore, the adoption of Large Language Models (LLMs) such as GPT-4 and LLaMA by cyber attackers complicates the identification of malicious activities, increasing both alert fatigue and investigative costs. This proposal introduces a deep learning framework designed to overcome these limitations by utilizing artificial intelligence to analyze malware based on dynamic behavioral features captured in a controlled sandbox environment. The framework employs LLMs to abstract these behavioral features, thereby enhancing detection capabilities. This innovative approach not only promises to improve malware detection rates but also sets the stage for future advancements in cybersecurity technologies

    Police Perceptions of Human Trafficking in Thailand and Understanding of a Recently Implemented National Referral Mechanism

    Get PDF
    It is estimated that trafficking in persons affects millions of individuals in various countries across the world. Despite local and international efforts to combat human trafficking through identification, investigation, and prosecution, challenges remain. In Thailand—a major transit, origin, and destination zone for human trafficking—the issue is a focus for government and law enforcement personnel. As frontline officials, police officers fulfill an essential function in anti-human trafficking initiatives. This research examines Thai police officers’ perceptions of human trafficking by focusing on adherence to human trafficking myths and understanding of sex trafficking. Additionally, the current study provides an initial examination of Thai police personnel’s understanding of a recently implemented national referral mechanism aimed to improve police responses and the delivery of victim services through interagency cooperation. Data are derived from the survey of 522 current and imminent police officers and six semi-structured interviews with Thai police leaders in the human trafficking space. Results demonstrate the general tendency of respondents to endorse several human trafficking myths, while attitudes toward sex trafficking and understanding of the national referral mechanism indicate an overall comprehensive and accurate understanding. Regression results demonstrate the significance of attitudes toward immigrants, belief/victim blame, and understanding of and attitudes toward human and sex trafficking. Implications for law enforcement organizations, broadly, and the Royal Thai Police, specifically, are discussed

    Gatekeepers of Justice: Law Enforcement Attitudes about and Decisions with Veterans

    Get PDF
    The occurrence of mental health problems among military veterans is high and has been linked to criminal justice involvement of veterans. The Sequential Intercept Model (SIM) was created and adapted to address the needs of justice-involved veterans (JIVs). The SIM consists of six points that serve as digression points diverting veterans away from the criminal justice system. Prior decision-making research related to JIVs in the SIM focused on intercept three (court system). Given that Law Enforcement Officers (LEOs) are the gatekeepers of the criminal justice process, research examining the unique interactions between LEOs, and veterans is essential. Police decision making research has examined mental illness stigma, perceived dangerousness, blameworthiness, and punitiveness as factors that influence LEOs decisions. A specific gap in the literature is identifying the beliefs LEOs hold towards veterans. The first aim of this study was the development of a measure which assessed LEOs beliefs about military veterans. Secondly, this study extends the current literature through examining the effects of mental illness stigma, blameworthiness, perceived dangerousness, punitiveness on LEOs response (i.e., arrest, warning/informal sanction, transport to psychiatric facility, or no action) to case scenario depicting a military veteran exhibiting symptoms of PTSD and law-breaking behavior. Results indicate LEOs view veterans as exceptional people and as burdensome to their communities. Further, subtle mental illness stigma and veterans as a burden were associated with endorsement of a criminal justice response. However, when the LEOs ultimate response was evaluated, none of the variables were predictive of the decision. Implications regarding LEO trainings regarding veteran-LEO interactions and the contribution of these results to the SIM is also discussed

    Nontraditional Student Perceptions Regarding the Impact of Noncognitive Characteristics on the Developmental Mathematics Learning Experience

    Get PDF
    Using a transcendental phenomenological approach, this study explored what and how noncognitive characteristics including self-concept, self-appraisal, navigation of the system and racism, goal-setting, an available support person, leadership experience, community involvement, and acquired knowledge impacted the learning experiences of students enrolled in different modalities of a developmental mathematics course. This research was conducted at a postsecondary technical college in a mid-sized city in the northern plains. Participants represented the three instructional modalities (traditional, online, and hybrid) that the college offered. The interview data was transcribed and analyzed to determine themes regarding student perceptions. The results were used to develop a composite description of nontraditional student perceptions regarding what and how noncognitive characteristics impact the learning experience in different instructional modalities of developmental courses. Across all instructional modalities, the emergent themes were growth and career advancement, learning preferences, strategies for success, application of knowledge, and support network. Findings indicated similarities between instructional modalities regarding long term career goals, multiple approaches to learning, and the connection between modality selection and preferred course structure. The findings also indicated differences between instructional modalities regarding course goals, strategies for minimizing distractions, and the role or lack thereof of the learning community in the developmental mathematics course. Implications for practice were discussed and recommendations for future research were made

    Latino Osteopathic Medical Student Audio Series - Muhanned Tokmachi

    No full text
    Bridging Horizons: Audio Series on a medical career journey for undergraduate students with Muhanned Tokmachi There is an undisputable need to increase Hispanic diversity in medical education and healthcare. Discover the inspiring world of medicine through "Bridging Horizons," an audio series designed to empower and guide Hispanic undergraduate students on their path to medical school. Delve into the personal stories and triumphs of Hispanic medical students, giving insights into their cultural perspectives on how to start the journey to becoming a medical professional. This audio series highlights the cultural attributes of medical students and their successful stories from navigating fears and uncertainties to initiating their medical career path up to their school’s admission. "Bridging Horizons" is a platform that celebrates the resilience, achievements, and contributions of Hispanic individuals in the initial journey to becoming medical professionals. Join us in fostering a supportive community for Hispanic prospective med students, offering practical advice on engagement to break down barriers, bridge cultural gaps, and provide a roadmap for aspiring Hispanic medical professionals. Tune in for a roadmap to success, from undergraduate studies to medical school admission.SHSU College of Osteopathic Medicin

    3,364

    full texts

    4,449

    metadata records
    Updated in last 30 days.
    Scholarly Works @ SHSU (Sam Houston State University)
    Access Repository Dashboard
    Do you manage Open Research Online? Become a CORE Member to access insider analytics, issue reports and manage access to outputs from your repository in the CORE Repository Dashboard! 👇