Digital Commons Network^™

Creating A Positive Learning Environment In A Math Course For Preservice Teachers, Kien H. Lim, Hilda Y. Sotelo

Departmental Papers (Math)

This study examines how a mathematics instructor cultivated a positive learning environment in a synchronous online course for 23 preservice teachers. Guided by self-determination theory, growth mindset, and mathematical caring, the course integrated high-cognitive-demand tasks, collaborative problem solving, flexible policies, and motivational supports. Data sources included reflection logs (Likert-scale items and open-ended responses) and a focus group; the instructor’s reflexive self-study informed result interpretation. Wilcoxon signed-rank tests indicated significant gains in students’ sense of inclusion and trust, though some instructor- related ratings declined late in the semester. Qualitative findings emphasized students’ appreciation for flexibility, encouragement, and growth-oriented feedback. Despite time …

International Law Duties Not To Recognize, Not To Assist, And To Cooperate Against Peremptory Norms (Jus Cogens) Violations,, Diane A. Desierto

Journal Articles

Peremptory norms (jus cogens) are the highest norms of international law. When these norms are violated, all States and international organizations have, at a minimum, three international legal duties to discharge while the violation is occurring: (1) the duty of non-recognition, where no State or international organization should recognize the situation caused by the violation; (2) the duty of non-assistance, where no State or international organization should render any aid or assistance to maintain this situation caused by the violation; and (3) the duty of cooperation, where all States and international organizations should cooperate to bring the violation to an …

What Beginning Law Students Learn When Ai Gets Personal, Kristina Swanson

Journal Articles

From the Introduction

While legal writing and research professors wrestle with artificial intelligence (AI)'s impact on the skills we teach, one thing is clear: beginning law students cannot discern whether AI answers to legal questions are correct. AI-generated responses to legal questions sound right and are designed to bolster the beleaguered law student's confidence. Deliberately programmed to hook customers, AI-generated answers often begin by praising the brilliant question and expressing electronic empathy for the difficulty the student may have had answering it. The end result: students with the wrong legal answer and misplaced confidence.

Reforming Revocation By Physical Act, Barry Cushman

Journal Articles

From the Introduction

In a previous article, I documented the various problems that are created by the law’s recognition of the power of a testator to revoke his will in whole or in part by physical act. That article canvassed five different areas of law in which such difficulties arise: ineffective attempts at revocation; the presumption of revocation; partial revocation by physical act; dependent relative revocation; and revival. In this Article, I first explore the asymmetries within the law of wills created by the persistence of revocation by physical act. I then offer some reflections on possibilities for reform.

The Object Of Interpretation, Francisco J. Urbina

Journal Articles

This Article provides an account of the object of legal interpretation. It examines various potential objects: text, lawmaking choice, practice, and order. The Article argues for a pluralist conception of the object of interpretation, according to which all of these alternatives are possible objects. In making this argument, the Article puts forth an account of the nature of the object of interpretation. The object of legal interpretation is, in essence, what is treated as a source of law, a fact that is recognized as generating law. As such, which alternative is exactly the object of interpretation in a given context …

Generative Ai For Born-Digital Collections: A Case Study For Metadata Management In An Institutional Repository, Tang (Cindy) Tian

Journal Articles

This case study examines the application of generative artificial intelligence (AI) tools, specifically ChatGPT-4o, ChatGPT-5, and Google Gemini 2.5 Flash, to streamline metadata extraction and creation for a born-digital collection within a digital repository environment. Testing four descriptive metadata elements—titles, abstracts, keywords, and full-text URLs—the study shows that AI improves efficiency in structured tasks but remains limited in semantic ones such as keyword matching. Results demonstrate that AI can streamline metadata workflows for small or resource-constrained institutions while emphasizing the continuing importance of human oversight and ethical responsibility in AI-assisted metadata workflows.

Bovine Lactoferrin Maintains Antibacterial Effect Against Neonatal Escherichia Coli Septicaemia Isolates Despite The Presence Of Iron Acquisition Genes, Matthew Mayorga, Joshua L. Wheatley, Brianna N. Maldonado, Susana Chavez-Bueno

Student Publications

Introduction. Escherichia coli is a dominant cause of neonatal sepsis for which no prevention measures currently exist. Lactoferrin (LF) is an iron-sequestering antibacterial protein that has been noticed to decrease neonatal late-onset sepsis.

Hypothesis/Gap Statement. LF’s effect on in vitro growth of neonatal E. coli clinical isolates causing septicaemia is unknown. The prevalence of iron acquisition virulence genes which contribute to pathogenicity outcomes in these strains has also not been described in detail.

Aim. To evaluate bovine lactoferrin’s (bLF) effects on the in vitro growth of neonatal septicaemia E. coli isolates, and to determine the presence of iron acquisition …

Levonorgestrel Intrauterine System Use And The Risk Of Cervical Cancer In Women With Human Papillomavirus, Britney Margheim, Lauren Zakshorn, Sadie Wiens

Student Publications

No abstract provided.

Equity In Coastal Resilience: A Framework For University Engagement In Community-Based Projects, Juita-Elena (Wie) Yusuf, Jennifer L. Whytlaw, Marina Saitgalina, Ogechukwu N. Nwandu-Vincent, Khairul A. Anuar, Thomas Allen, Joshua Behr

School of Public Service Faculty Publications

As communities face intensifying climate hazards, it is vital to strengthen resilience in ways that explicitly prioritize social equity. This study examines how higher education institutions can better support government, nonprofit, and community partners in advancing equity-centered coastal resilience in the U.S. Utilizing a qualitative research design, we analyze discussions among researchers and practitioners during a three-day workshop. We present a framework derived from a thematic analysis of breakout group transcripts from a three-day national virtual workshop involving 113 researchers and practitioners. The analysis identified four core themes: the necessity of aligning projects with community-defined priorities; the foundational role of …

Cognitive Prosthetic: An Ai-Enabled Multimodal System For Episodic Recall In Knowledge Work, Lawrence Obiuwevwi, Krzystof J. Rechowicz, Vikas Ashok, Sachin Shetty, Sampath Jayarathna

Computer Science Faculty Publications

Modern knowledge workplaces increasingly strain human episodic memory as individuals navigate fragmented attention, overlapping meetings, and multimodal information streams. Existing workplace tools provide partial support through note-taking or analytics but rarely integrate cognitive, physiological, and attentional context into retrievable memory representations. This paper presents the Cognitive Prosthetic Multimodal System (CPMS)—an AI-enabled proof-of-concept designed to support episodic recall in knowledge work through structured episodic capture and natural language retrieval. CPMS synchronizes speech transcripts, physiological signals, and gaze behavior into temporally aligned, JSON-based episodic records processed locally for privacy. Beyond data logging, the system includes a web-based retrieval interface that allows users …

Preoperative Patient Sentiment Is Associated With Postoperative Outcomes In Adult Spinal Deformity Surgery, Ross J. Gore, David Mazur-Hart, Mohan K. Sunkara, Aaqib Ali, Qizar Ali, Christopher J. Lynch

Center for Secure and Intelligent Critical Systems (CSICS) Publications

Study Design:

Prospective observational pilot study of adult spinal deformity surgery patients.

Objective:

To determine whether preoperative patient sentiment, quantified using a 21-class valence scale extending the CARP paradigm implemented through an offline Large Language Model, predicts postoperative outcomes.

Summary of Background Data:

Predicting adult spinal deformity surgery outcomes remains challenging with traditional clinical and radiographic parameters alone. Although patient psychological factors and expectations significantly influence postoperative satisfaction and quality of life, systematic approaches to capture these factors are underdeveloped. Offline Large Language Models offer scalable, privacy-preserving psychological risk stratification.

Materials and Methods:

We prospectively enrolled 18 patients undergoing adult …

The (Non) Numeric Truths Behind College And Career Aspirations: A Quantcrit Analysis Of The Precarious Pathways For Secondary Students Of Color, Norma A. Marrun, Danielle Mireles, Jori S. Beck, Christine Clark

Teaching & Learning Faculty Publications

This article explored the college and career choices of 963 students across six urban secondary schools in a large public school district in the Southwestern United States. A Quantitative Critical Race Theory, or QuantCrit, analysis was applied to expose the false narrative of number neutrality and the systemic racism that belies it. Findings demonstrate how the myth of meritocracy through education (as ‘the great equalizer’) is perpetuated when educators hold onto racist and ableist beliefs about who can pursue college, and ignore the structural disadvantages underlying the college and career aspirations of students of Color juxtaposed with the reality of …

Methodological Insights And Trends: Participatory Positioning Of Children And Youth In Visual Art Education Research, Angela Eckhoff

Teaching & Learning Faculty Publications

Participatory research methods have a focus on facilitating research processes that engage with participants and, as such, aim to promote individual voice, facilitate richer reflection and dialogue, and enable the articulation of participants' unique experiences. To explore the degree to which participatory practices are enacted in visual art education research, the present study critically examines the agentic positioning of children and youth in school‐based, visual arts experiences through a systematic, methodological literature review. Findings from this review serve to ground proposed recommendations for the inclusion of supportive research practices that carefully attend to the unique considerations that arise during participatory …

Participatory Approaches To Understanding Collaborative, Child-Initiated Play: Children's Agency, Social Negotiation, And Identity Construction On The Playground, Angela Eckhoff

Teaching & Learning Faculty Publications

Children's play in schools is often tightly controlled, shaped by adult beliefs and concerns about safety and appropriateness. Play in school settings can reflect expected school norms and follow rules set by adults, but free play also allows for rough, risky, mischievous, and subversive actions. This research, guided by an affordance framework, examines spontaneous, child-initiated outdoor free play to understand how children navigate and reinterpret the boundaries of play. Using critical naturalistic inquiry and participatory methods, the study data includes children's videography that captures dynamic interactions and shifts in agency among peers, go along interviews that track boundary negotiations in …

Supporting Teacher Candidates' Conceptions Of Equitable Mathematics Teaching: Using Exposure And Experience In Elementary Mathematics Methods Courses, Amanda Mohammad Mirzaei, Ethan P. Smith

Teaching & Learning Faculty Publications

Elementary mathematics methods courses may provide a lever to help support teacher candidates in their trajectory to becoming equitable mathematics teachers. To support the rising generation of mathematics teachers, mathematics teacher educators (MTEs) must critically analyze approaches to equity within and across teacher preparation programs. This study investigates an elementary mathematics course centering equitable mathematics teaching and learning (EMT), rather than isolating or using it as a supplementary aspect. We consider a framework of the teacher learning trajectory (Turner et al., 2012) where teacher candidates learn initial practices, make connections, and then incorporate these practices into their teaching. We extend …

Becoming A Self-Study Researcher: Learning Method Through Practice, Brandon M. Butler, Andrew J. Collins, Jim F. Leathrum, Christopher J. Lynch

Teaching & Learning Faculty Publications

Calls for methodological innovation in qualitative research often assume that researchers can readily adopt new approaches once they are introduced. Yet adoption presupposes learning, and far less attention has been given to how scholars come to understand and enact unfamiliar methodologies, particularly those that challenge entrenched assumptions about rigor, evidence, and researcher positioning. This study examines how three engineering faculty members learned self-study of professional practice through participation in a facilitated, collaborative inquiry. Using self-study as both methodology and site of investigation, we analyzed reflective journals, recorded dialogues, and analytic artifacts to examine methodological learning as it unfolded in practice. …

Modeling Rank Distribution And The Relative Importance Factor Index In Discrete Power-Law Models: Application To Social Resilience Using The Scopus Database, Brian Llinas, Jose Padilla, Humberto Llinas, Erika Frydenlund, Katherine Palacio

VMASC Publications

Prior research on power-law distributions has primarily focused on modeling frequency patterns, with less attention given to rank distributions and how ranked positions reflect relative importance among elements. In discrete power-law distributions, frequency-based metrics often provide limited discrimination in the tail, where elements may exhibit similar counts but differ in relative dominance. These patterns are especially evident, for instance, in academic publishing, where keywords, affiliations, and citations commonly exhibit power-law behavior. To address this limitation, we introduce the Relative Importance Factor (RIF) Index, a statistical measure derived from the estimated discrete power-law rank distribution rather than an additional independent parameter. …

Advocacy Matters, Richard B. Collins

Publications

The Supreme Court’s 2022 Castro-Huerta decision was wrong on the points it discussed. It was doubly wrong for a reason it ignored. But the latter error was shared because all briefs and the dissenting opinion ignored it as well. The question presented was whether a nineteenth-century federal Indian country statute provided for exclusive federal jurisdiction over interracial crimes, or for concurrent authority with states. The Court held that the statute allowed concurrent jurisdiction. But it ignored the fact that Congress and the Court, until fairly recently, avoided concurrent federal-state jurisdiction over crimes. Had the self-styled originalist Justices taken their theory …

The Internet And The Lost Law Of Transit, Vivek Krishnamurthy

Publications

For centuries, the law of transit has specified when states must permit foreign persons and goods to traverse their territory on journeys beginning and ending beyond their borders. Transit is a right — not a privilege — that tempers territorial sovereignty. Though largely forgotten today, the right to transit springs from states’ responsibilities to the international community when their territory hosts infrastructure of global utility.

Yet the internet stands as a striking exception to this tradition. Despite its importance, no doctrine of transit constrains states’ power to block or disrupt internet traffic that merely passes through their territory. This is …

The Borderline Constitution, Pratheepan Gulasekaram

Publications

This Feature identifies and theorizes a distinct constitutional regime that federal courts have constructed at, adjacent to, and because of the nation’s border. Drawing together strands of First, Fourth, Fifth, and Fourteenth Amendment law, along with habeas doctrine, constitutional torts, tribal sovereignty, and separation-of-powers concerns, this Feature demonstrates how constitutional guarantees systematically recede in the border’s shadow. These deviations from canonical and mainstream constitutional norms authorize intrusive state invasions of privacy and other fundamental rights, abdicate judicial oversight in favor of outsized executive discretion, and entrench racial and religious subordination.

The Feature further demonstrates that the effects of border exceptionalism …

Brady's Shadow, Justin Murray

Publications

Scholars have spent sixty years documenting Brady v. Maryland’s failures—its materiality standard that licenses suppression of exculpatory evidence, its abandonment of defendants who plead guilty, its toothless enforcement. Yet these same critics celebrate Brady’s supposed grand promise, treating the decision’s incarnate presence as the betrayal of an ideal rather than recognizing the promise itself as a mirage. This Article contends that our profession’s faith in Brady—even faith expressed through demands for reform—perpetuates the very dysfunction it critiques. Brady operates not merely as failed doctrine but as a trap and a shadow: the trap springs when its mythology …

Staying True To Narrative Fidelity, Derek Kiernan-Johnson

Publications

No abstract provided.

A. Vs. I In Ai: Is There A Threshold To "Engineered" Intelligence?, Joshit Mohanty

Engineering Management & Systems Engineering Faculty Publications

Despite artificial intelligence reshaping the world, its development generates uncertainties regarding future capabilities. AI simultaneously exists as an artifact of engineering design and as autonomous intelligence, creating an observer-participant feedback loop. This paper proposes that embodied AI faces a bandwidth-limited intelligence threshold T_h that it arises from B = min(C_sens,C_Act). However, Shannon capacity measures bits while intelligence operates on concepts, necessitating a dual-channel model separating physical bandwidth B_io from representational capacity B_rep. Intelligence emerges as multi-dimensional rather than scalar, with components exhibiting different bandwidth dependencies. Surpassing T_h requires either new sensing methods expanding B, enhanced representational frameworks, or reconceptualization within …

A Three-Stage Causal Root-Cause Diagnostic Protocol For Nonstationary Industrial Time Series Data, Cansu Yalim, Resit Unal, Holly A. H. Handley

Engineering Management & Systems Engineering Faculty Publications

Predictive maintenance (PdM) systems effectively forecast failures, but they often fail to find root causes, particularly when system dynamics change over time. This limitation arises from applying static causal models or decoupled segmentation to handle nonstationary industrial time series. For regime-aware causal diagnostics and interventional effect estimation, we introduce a three-stage time-varying dynamic Bayesian network (TV-DBN) protocol. Using a minimum description length (MDL) objective that connects segmentation to mechanism changes, Stage I jointly infers change points and regime-specific graph structure. Stage II produces a completed partially directed acyclic graph (DAG) by orienting edges within each regime using a combination of …

Technological Interventions For Reducing Climate Change Impacts On Health: An Overview Of Future Possibilities, Sujatha Alla, Vijay Kumar Chattu, Bawa Singh

Engineering Management & Systems Engineering Faculty Publications

Globally, over five million deaths annually are attributed to extreme weather events exacerbated by climate change, such as heatwaves, hurricanes, wildfires, droughts, and floods, which create health crises and economic losses. The 2015 Paris Declaration emphasized climate technology mechanisms, including research and development, to enhance resilience and reduce greenhouse gas emissions. Biotechnological advancements have mitigated about 20% of economic losses since the 1960s, highlighting technology’s potential to address climate-induced health risks.

Table Of Contents, University Of Colorado Law Review

University of Colorado Law Review

No abstract provided.

Silence For The Sake Of “Security”: Bop Regulations Stifle Incarcerated Journalism In Federal Prisons, Sydney Poppe

University of Colorado Law Review

No abstract provided.

"The Reality Is, It All Came Back To Catch Us": Urban Population Increase And Water Conservation In The Arid West, Madison Dobson

University of Colorado Law Review

No abstract provided.

2026 Winter - Friendly Correspondence Newsletter, Courtright Memorial Library

Friends of the Library

In This Issue:

• Fundraiser Updates
• Common Book
• FOL Board Updates
• Fall Program Review
• New Artist in Becker Gallery
• Library Mobile App
• Spring Events Calendar
• Otterbein Singers
• In Memoriam

Heat Misers, Snow Misers, And Cognitive Misers: The 'Nukewarm' Perceptions Of Nuclear Power, Tyler Williams

Dissertations and Theses

Rising energy demand in the United States necessitates alternatives to fossil fuels, yet renewable energy sources alone are insufficient to meet this demand. Nuclear power presents a promising option but faces persistent public hesitancy. This study examines how heuristic-based biases relate to American's risk-benefit perceptions towards nuclear power. Guided by the heuristic-systematic model. Results indicate that competence and affect are related to risk-benefit perceptions, and naturalness shows no relationship with risk perceptions but does correlate with benefit perceptions. Implications highlight the importance of affect-driven communication strategies for nuclear communicators, while also underscoring the need for participatory approaches that foster trust …