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Using NotebookLM in the Undergraduate Classroom
No full textThe advent of AI tools like ChatGPT has complicated the foundational task of teaching undergraduates research literacy—how to read, synthesize, and explain scholarly work. Participants in this session will learn to use Google NotebookLM to actively support student engagement with academic sources. The session will showcase a redesigned major assignment from a 200-level communication theory course where NotebookLM was used to guide students through the analysis of scholarly journal articles. The session will explore NotebookLM\u27s essential features, detail practical assignment models, and provide strategies for ensuring authentic, independent learning even with AI assistance
KEYNOTE: The Opposite of Cheating: Teaching for Integrity in the Age of AI
No full textIn these days of an ever-expanding internet, generative AI, and term paper mills, students may find it too easy and tempting to cheat, and teachers may think they can’t keep up. What’s needed, and what Tricia Bertram Gallant and David A. Rettinger offer in their timely book, is a new approach—one that works with the realities of the twenty-first century, not just to protect academic integrity but also to maximize opportunities for students to learn.Bertram Gallant will share a positive, forward-looking, research-backed vision for what classroom integrity can look like in the GenAI era, both in cyberspace and on campus. This includes workable measures teachers can use to better understand why students cheat and to prevent cheating while aiming to enhance learning and integrity. Additionally, her work aims to revise the conversation around integrity, refocus classes and students on learning, reconsider the structure and goals of assessment, and generally reframe our response to cheating. At the core of this strategy is a call for teachers, academic staff, institutional leaders, and administrators to rethink how we “show up” for students, and to reinforce and fully support quality teaching, learning, and assessment
From Paper to Podium: AI Proof Delivery
No full textOutcomes of evaluating, analyzing, applying, explaining, discussing, defining, supporting, critiquing can all be done verbally in a speech rather than a paper. Learn how to create a speech assignment that demands student understanding of material. Receive rubric ideas to change a grammar grade to a speech delivery grade. Receive step by step instructions for recorded speeches and more
A Systematic Review and Meta-Analysis on the Role of Somatostatin Therapy in Non-Variceal Gastrointestinal Bleeding
No full textBackground and Aims: Non-variceal upper gastrointestinal bleeding (NVUGIB) is a common cause of hospitalizations, with proton pump inhibitors (PPIs) being the mainstay treatment. However, there is a lack of high-level evidence to show if adjunctive medical therapy (somatostatin and its analogs) can improve outcomes. This systematic review and meta-analysis aim to evaluate the outcomes of PPIs with adjunctive therapy versus PPI monotherapy in treating NVUGIB in an in-patient setting. Methods: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist, major databases were systematically searched to retrieve English-only, original studies, published from 1 January 2000 to 31 December 2023, investigating NVUGIB only. The primary outcomes included the mortality rate within 7 days of therapy, rebleeding rate within 7 days of therapy, and length of hospital stay. Results: Seven studies with 789 patients had a pooled mortality rate of 2.0% (95% CI, 0–4.0%), and the pooled risk ratio was 1.11 (95% CI, 0.50–2.48; p = 0.79) between PPI monotherapy and PPIs with adjunctive medical therapy. The pooled rebleeding rate was 13% (95% CI, 6–20%) and the risk ratio was 1.04 (95% CI, 0.73–1.48; p = 0.83). The pooled average length of stay in the hospital was 5.47 days (95% CI, 3.72–7.21 days), with insignificant weighted differences between the two groups. No statistically significant differences were noted in surgical management risk ratios or amount of blood transfusion. Conclusions: Among patients with NVUGIB, adjunctive medical therapy offered no clinical benefits given the statistically insignificant differences in the primary outcomes. However, this conclusion is limited by the considerable variability in treatment protocols, weak control of confounding variables, and missing clinical information in the original studies. Therefore, better-quality, large-scale randomized controlled trials are needed, ideally using standardized somatostatin dosing, timing, delivery routes, and clearly defined inclusion criteria to more accurately evaluate the role of somatostatin in NVUGIB management
Ecological Momentary Assessment of Mood, Affect, and Perceived Criticism: Investigation of Daily Patterns and Family Impact
No full textPerceived criticism (PC) is a component of expressed emotion (EE) that assesses an individual’s perceptions of the criticism that they are exposed to within their interpersonal relationships. PC is elevated among individuals with mood disorders, and mood and mood symptoms act as both a predictor and an outcome of PC. However, few studies have examined the relationship between PC and affect, a more momentary measure of emotion that can serve as a guide to underlying mood. Additionally, limited research has examined how PC within family relationships compares to other interpersonal interactions. Understanding the relationship between momentary affect and PC and exploring how this association varies across different interpersonal contexts may provide additional insights into how affect, mood, and PC can be therapeutically addressed. Therefore, this manuscript used ecological momentary assessment (EMA) to examine how momentary affect is associated with ratings of PC and to explore how this relationship compares across familial and non-familial interpersonal contexts. Generally, negative affect (i.e., irritability and depression) was associated with increases in PC, whereas positive affect (i.e., energy and happiness) was associated with decreases in PC, and individuals rated higher PC in family interactions compared to non-family interactions. State affect (e.g., momentary) ratings, were also more consistently associated with changes in PC compared to trait affect (e.g., summary mood) ratings. However, the relationship between state affect and PC varied across high and low trait affect and across social contexts (e.g., family or non-family). Momentary affect may play a particularly important role in PC, and assessing and intervening on affect may be a beneficial way to reduce criticism and improve social functioning, particularly within family relationships. Understanding general mood may also inform how momentary affect will impact PC and which relationships will be most impacted, allowing individuals to maximize or minimize the impact of momentary affect on PC
Reading the Rainbow: Exploring Themes and Identities in LGBTQIA+ Picture Books
No full textThis presentation shares an analysis of over 275 picture books featuring LGBTQIA+ identities, providing evidence that the depiction of queerness in children’s literature is complex and varied. Tools for defining narrative themes and LGBTQIA+ identities will be shared as well as data on queer characters with intersecting identities. By exploring the nuances of LGBTQIA+ representation in picture books, attendees will gain a better understanding of novel research inquiries into representation
Relational Database Schema to Support Research Profiling Studies, Natural Language Processing, and Bibliometric Analysis
No full textIn this paper, a relational database schema is introduced that supports rapid prototyping, data preprocessing, and warehousing tasks associated with research profiling studies, natural language processing, and bibliometric analysis. Python scripts are leveraged for the seamless retrieval and processing of data from Semantic Scholar. This schema is tailored to efficiently analyze entities such as authors, their scientific papers, referenced papers, and cited papers. Adhering to the relational model, this schema offers a standardized approach to data storage and detailed information retrieval for scientific papers. Enhancing knowledge discovery in scientific databases, this schema provides researchers with a powerful platform for robust data management, retrieval, and analysis
When Realism in Testing Backfires: Lessons From an Unstructured Practical Exam Pairing
No full textPhysical therapists must adapt quickly and independently in diverse neurologic settings. To reinforce diagnostic readiness and self-sufficiency, students were not assigned partners in advance and received their exam schedule only on the day of testing. This format was designed to challenge adaptability under realistic conditions, promote independent preparation across all course skills, and reduce reliance on rehearsed teamwork.https://oasis.library.unlv.edu/btp_expo/1215/thumbnail.jp
No More Deer in the Headlights: Interview Practice With AI
No full textEver had a student (or been the student) who froze like a deer in headlights during an interview? Been there. Whether it’s for a job, graduate school, or a conversation with a potential mentor, high-stakes interviews can spark panic. This teaching practice introduces AI-powered mock interviews to give students—both traditional and adult learners—a low-pressure space to prepare. Using AI, students rehearse: Informational interviews Job interviews Graduate school and assistantship interviews
Why it works: Students receive meaningful, low-stakes practice and instant feedback on tone, clarity, and content. They can revise, retry, and gain confidence with each round. This approach also supports responsible and effective AI use—an important skill as students transition into the workforce or graduate programs.https://oasis.library.unlv.edu/btp_expo/1221/thumbnail.jp
Legislative Transparency and Self-Government: Nevada and First Amendment Application
No full textWith the rise in political tension in the United States, the call for transparency from elected officials has reached an all-time high. While the role of American democracy is to promote a sense of participation from constituents, the lack of information regarding policy decisions has exempted the public from the halls of the legislature. This policy brief examines legislative transparency in Nevada through the concept of self-government theory. Despite a 1994 constitutional amendment to require publicly accessible legislative committee meetings, exemptions from Open Meeting Law and statutory exemptions continue to limit public access and further the divide between the government and its constituents. Drawing comparisons on transparency models in Florida and California, this report highlights structural gaps in Nevada’s accountability model, while proposing a series of reforms to promote public notice requirements, transparency mediation, removal of legislative exemptions, and control the influence of lobbyist disclosure rules. These recommendations will allow Nevada to align its legislative proceedings with reinvigorated civic participation, public trust, and democratic efficacy