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Inscape

No abstract provided.

Artificial Intelligence In Educational Research And Scholarship: Seven Framings, Eamon Costello, Giselle Ferreira, Stefan Hrastinski, Jason K. Mcdonald, Ahmed Tlili, George Veletsianos, Victoria I. Marin, Henk Huijser, Sharon Altena

Faculty Publications

In a recent interview (Bender et al., 2025), Professor Emily M. Bender discussed the limitations of technical solutions in addressing harmful Artificial Intelligence (AI) bias. She described a particular point we may reach at which technical solutions stop working, and when we should then widen the lens to ask about the problem framing itself. This is a crucial step in any inquiry that is of concern to both novice and experienced researchers alike: moving from problem-solving to problematisation. This commentary aims to provide educational researchers with a glimpse into the wide array of research problems and problematisation of AI in …

Encouraging Self-Regulation In An Online University Course For Preservice Teachers: An Intervention Study, Karen T. Arnesen, Charles R. Graham, Heather Leary, Alison I. Mcmurry

Faculty Publications

Although self-regulation (SR) has long been seen as an important educational concept, we know little about how to foster it in higher education online student populations. This research addresses this need by introducing an SR intervention into a preservice teacher course. The 30 students who participated used an intervention consisting of weekly student goal setting and self-reflection. Using data collected from a self-regulation survey, weekly reflections, final exam reflections, and interviews, all but one student indicated that the process of setting a goal weekly and especially reflecting on their actions during the week increased their self-regulation abilities. More than half …

Browsing Within An Academic Library, Holt Zaugg, Jillian Bunderson

Faculty Publications

Purpose – Browsing library resources is a method long used by researchers to expand their understanding of ill-defined projects and to have serendipitous research discoveries. This study sought to understand the browsing activities of students in an academic library. Design/methodology/approach – The study used two methods. First, a link to an online survey was posted on posters throughout the library inviting students to share their browsing experience. Second, library security officers (student employees) were asked to count the number of people browsing within the stacks as they conducted their hourly walk-throughs of the library. Browsing was broadly defined as anyone …

Mill Power Consumption And Fuel Particle Size Distribution While Co-Milling Bituminous Coal With Steam-Exploded Woody Biomass In A Conventional Bowl Mill, Brian Schoof, Rajarshi Roy, Regan Kuttler, Parker Latour, Scott Montgomery, Jacob Tuttle, Gwendolyn Bennett Bennett, Brian D. Iverson, Andrew Fry

Faculty Publications

The mill behavior of a 312 Combustion Engineering Raymond Bowl Mill was studied with five blends of Utah bituminous coal and steam-exploded woody biomass, ranging from 100 % coal to 100 % biomass. Mill power consumption increased with biomass content, peaking at 187 % of the power required for 100 % coal before the mill faulted at 100 % biomass. After repositioning the rollers, power consumption for 100 % biomass decreased by 13 % compared to 100 % coal. SEM images revealed that milled biomass particles were non-spherical, indicating some fibrous structure remained post steam-explosion. The particle size distribution (PSD) …

Nurturing Religious Education Using Artificial Intelligence, Matt Gardner

Religious Educator: Perspectives on the Restored Gospel

This essay focuses on helping teachers, parents, and students understand and become familiar with artificial intelligence (AI)—specifically, its capabilities and how it will affect our homes and classrooms. In doing so, teachers, parents, students, and children will learn to use certain gospel-approved principles to most successfully use and operate these new technologies to bless the lives of God’s children.

Full Issue

Religious Educator: Perspectives on the Restored Gospel

No abstract provided.

Business Communication And Editing Students’ Evaluations Of Written Error: An Eye-Tracking Study, Matt Baker, Grant Eck, Ana Barraza, Benjamin Duffield

Faculty Publications

Using eye-tracking and interview methods, this study investigates how business communication students and editing students attend to and evaluate writing. Participants reviewed blog posts embedded with errors and judged publication readiness. While both groups visually fixated longer on errors than non-errors, business communication students were more likely to approve error-containing texts for publication. Qualitative data revealed that business communication students prioritized content while editing students prioritized surface-level issues. These findings suggest that disciplinary background informs evaluative standards, even when error-detection behavior is similar. The results carry implications for instruction in business writing and editing, especially concerning collaborative, cross-disciplinary workplace writing.

A Generalized Coherence Framework For Quantifying Input Contributions In Multi-Input Systems With Correlated Or Uncorrelated Inputs, Nolan H. Howes, Matthew S. Allen, Dario Farina, Steven Knight Charles

Faculty Publications

In multi-input systems, it is often necessary to quantify the contribution of each input to an output. Such contribution analysis is frequently performed using coherence. However, when correlation is present between inputs, existing coherence measures do not accurately quantify the contribution of individual inputs, except in special cases. Here we propose an expanded coherence framework that enables contribution analysis in any multi-input system, regardless of input correlation. We bridged the gap by defining three new coherence measures: component, excluded, and isolated coherence. Component coherence is an intermediate measure that decomposes measured output power into components attributable to inputs directly vs …

Comparing The Sensitivity And Specificity Of Novel Motor Assessments For Traumatic Brain Injury, Paula K. Johnson, Ariana M. Hedges-Muncy, Erin D. Bigler, Lorie Richards, Steven Knight Charles

Faculty Publications

Background: Portable technology that records movements with high accuracy provides potential for sensitive clinical movement tests for individuals who experienced a traumatic brain injury (TBI). Objective: (1)To present impairments assessed using markerless motion capture (MMC) and (2) to compare the sensitivity and specificity of the MMCmediated tests to each other and to common clinical tests. Design: Screening study, using as criterion standard the ability to classify participant with TBI versus control participant. Setting: Research laboratory. Participants: The study included 30 individuals with TBI and 101 control participants. Entry criteria included most recent head injury < 5 years old, no history of movement issues prior to injury, no movement-affecting medications, and sufficient cognitive ability to follow instructions. Interventions: Not applicable. Main Outcome Measures: Performance on MMC-mediated tests and existing clinical analogs. MMC-mediated tests included finger oscillation, simple reaction time, and visually guided movement tasks. For comparison, participants also completed the following clinical tests: Halstead–Reitan finger tapping, simple reaction time test, and Beery Visuomotor Integration test. Impairments were identified as test scores of participants with TBI that fell outside of the 95% interval of control participants’ test scores. Random forest analysis was used to calculate the sensitivity and specificity of MMC and clinical tests according to their ability to correctly classify participants with TBI and control participants. Results: MMC-mediated tests revealed impairments in more participants with TBI than clinical tests in all three TBI groups (mild, repeated, and moderate to severe). Similarly, MMC-mediated tests revealed a higher percentage of scores as impairments than clinical tests in all three groups with TBI. Furthermore, MMC-mediated tests proved more sensitive and more specific than clinical tests (70% versus 50% and 98% versus 93%, respectively). Conclusion: MMC-mediated tests are sensitive and specific (compared to traditional clinical tests) and have potential to fill a gap in clinical care of TBI.

Actuator Disk Model For Aeropropulsive Coupling Effects In Vortex Particle Method, Eduardo Alvarez, Vineet Ahuja, Vinod Lakshminarayan, Aaron Perry, Ryan Anderson, Andrew Ning

Faculty Publications

Blown lift and distributed electric propulsion aircraft pose strong aeropropulsive coupling effects that cannot be ignored during the early stages of design. In this study, we develop an advanced actuator disk model (ADM) for aeropropulsive coupling effects of ducted fans with the vortex particle method (VPM). The advanced ADM consists of (1) an actuator disk at the rotor plane, (2) a surface vortex sheet modeling the mixing and convection of blade tip vorticity along walls, and (3) a powered wake at the exhaust. With these three components, a propulsion jet with an arbitrary velocity profile is formed and interactions with …

Creating And Implementing An Inclusive Metadata Policy, Nicole Lewis, Jeremy Myntti

Faculty Publications

The BYU Library developed an Inclusive Metadata Policy for metadata creators to use when creating and remediating descriptions to be more inclusive. Accompanying the policy is a companion document with recommendations and examples, including links to many external resources. In addition to working with stakeholders in the library to develop the policy, we consulted with the University’s Office of Belonging. This presentation will describe the process we used to create the library policy and recommendations document and share information about how the policy has been implemented.

Origami Folding Pattern Development For Gossamer 18 Structures, Larry L. Howell, Ivy Running, Carolina Wright, Robert J. Lang, Spencer Magleby

Faculty Publications

Gossamer structures for satellites are large, thin deployable structures that are attractive for space applications because they can be stowed compactly for transportation and deployed to have large functional surface areas. Reflectarray antennas, in particular, are candidates for gossamer structures because they can be realized on thin membranes. However, the efficiency of reflectarray antennas decreases with any deviations from a flat plane, including those induced by plastically deformed creases. Rolling membranes can prevent some plastic deformation, but requires relative slipping between layers that are rolled together. In this work, we describe, analyze, and demonstrate two rolled configurations for deployable gossamer …

Internally Stowed, Radially Deployed Radiator Panels For Passive Cubesat Thermal Control, Josh R. Cannon, Kyle N. Havey, Noah S. Housley, Rydge B. Mulford, Brian D. Iverson

Faculty Publications

CubeSats experience significant thermal loads due to solar irradiation and the dissipation from electrical components. The high heat dissipation per unit volume can lead to mission failure if not properly managed. Deployable radiators that are externally stowed and passively actuated in response to changes in CubeSat temperature have been explored as a viable solution. This work describes a radially deployed fin array that is stowed within the CubeSat body when the required heat dissipation is low and passively deploys when the required heat dissipation is high. Internal stowage improves thermal transport to the deployable fins and minimizes heat loss when …

Drop Dynamics During Condensation On Superhydrophobic Surfaces In Vapor Shear Flow, Shaur Humayun, R. Daniel Maynes, Julie Crockett, Brian D. Iverson

Faculty Publications

Accurate models for predicting drop dynamics, such as maximum drop departure sizes, are crucial for estimating heat transfer rates during condensation on superhydrophobic (SH) surfaces. Previous studies have focused on examining the heat transfer rates for SH surfaces under the influence of gravity or vapor flowing over the surface. This study investigates the impact of surface solid fraction and texture scale on drop mobility in a condensing environment with a humid air flow. Experiments recorded condensation with varying surface feature sizes from micro- to nano scale under different flow rates. Video analysis detected the drop-size distribution and maximum drop departure …

Generative Ai Applied To Aac For Aphasia: A Pilot Study Of Aphasia-Gpt, Dallin J. Bailey, Francesca Herget, Derek Hansen, Forrest Burton, Grant Pitt, Tyson Harmon, David Wingate

Faculty Publications

Background

People with aphasia may be supported by augmentative and alternative communication systems, but further development is necessary to improve the communication support such systems provide. Advances in artificial intelligence methods of natural language processing may provide improved support for people with aphasia, but development and testing involving people with aphasia is critical.

Aims

The purpose of the study is to describe the development and pilot testing of a new AAC system for people with aphasia, a mobile web app named Aphasia-GPT.

Methods & Procedures

Aphasia-GPT is specifically designed to receive spoken input from a user with aphasia; it then …

"In 50 Words Or Less": Using Ai To Modulate Target Proficiency Levels In The Russian As A Foreign Language Classroom, Alexander M. Groce

Russian Language Journal

This paper proposes to look at methods for integrating artificial intelligence (AI) into the upper-level Russian as a foreign language (RFL) classroom in activities where variable search terms are used to modulate target proficiency levels according to the ACTFL scale. Specifically, this paper relies upon a series of classroom-based activities that employed AI technology to parse the short stories of Anton Chekhov. While employing some simple methods governing AI search terms can help to create a usable database of sample texts at varying proficiency levels, problems of machine language inherent to emerging generative AI still need to be addressed and …

Multidisciplinary Collaboration For The Integration Of Ai In Slavic Languages And Literatures: The Learning Lab Model, Anna Ivanov

Russian Language Journal

The Learning Lab at Harvard University's Derek Bok Center for Teaching and Learning employs graduate students as Media and Design Fellows (MDFs) to support innovative pedagogy in their departments. Over the last few years and in its Summer of AI, the Learning Lab has explored AI and its applications and implications in education. As such, the Lab, its staff, and its MDFs have developed and run well-structured, intellectually rigorous learning opportunities for many departments. For the Department of Slavic Languages and Literatures, the Learning Lab used AI in language and literature workshops. This paper presents a few case studies of …

Enhancing Data-Driven Decisions By Improving Nonprofit Transparency And Collaboration: A Study Of The Accessibility Of Nonprofit Data In The Global Landscape, Angie Holzer, Beverli Dewalt, Louis Ye

Journal of Nonprofit Innovation

This paper addresses the pressing need for enhanced transparency of nonprofit data to improve nonprofit collaboration, emphasizing the development of a global nonprofit database. Globally, there is a lack of transparency and accessibility to nonprofit data, which reduces the ability to make better decisions 1) between nonprofits as they work to collaborate and improve outcomes, 2) with nonprofit resource providers (foundations, volunteers, donors, company CSR programs, governments, grantees, etc.) when making decisions about who to support, and 3) with nonprofits as they attempt to reach those who need their services. By analyzing 34 nonprofit databases from the European Union, the …

Narrative Engineering: Tools, Computational Structure, And Impact Of Stories, Michael A. Debuse

Theses and Dissertations

Computational Linguistics has a long history of applying mathematics to the grammatical and syntactic structure of language; however, applying math to the more complex aspects of language, such as narrative, plot, scenes, character relations, causation, etc. remains a difficult topic. The goal of my research is to bridge the narrative humanities with mathematics, to computationally grasp at these difficult topic, and help develop the field of Narrative Engineering. I view narrative and story with the same mathematical scrutiny as other engineering fields, to take the creativity and fluidity of story and encode it in mathematical representations that have meaning beyond …

A Comparison Of Polymers By Layer Deposition And Open Molding Additive Processes Through Fused Granulate Fabrication, Alexander Ray Gibson

Theses and Dissertations

Additive manufacturing (AM) continues to offer new possibilities in both production and economics. Various industries have quickly adopted AM to rapidly produce parts that would be difficult or cost prohibitive otherwise. Despite ongoing innovations that expand the technology's capabilities, significant limitations persist. Most AM processes are restricted by materials available, an inability to produce large parts, or by not achieving material deposition speeds and volumes to allow for certain products feasible. In addition, tight tolerances for features and surfaces cannot be produced without substantial post processing. Some of the post-processing techniques can even affect the material properties of the finished …

Tensile Strain Validation Of Welded Wire Reinforcement, Alvaro Montes

Theses and Dissertations

There have been historical concerns regarding the ductility of welded wire reinforcement (WWR). Recent changes in ACI 318-19 now require all grades of A615 and Grade 100 A706 nonprestressed steel reinforcement to have a ratio of tensile strength to yield strength greater than 1.10 and 1.17 respectively. Although this code requirement does not currently apply to WWR, this preemptive study investigated the current state of the art of WWR manufactured in North America in preparation for such a possibility. This project included the tensile-testing of approximately 365 WWR material specimens of various cross-sectional sizes to determine the ratio of tensile-to-yield …

Development Of A Real-Time Convolution System To Simulate Speech In Different Rooms For The Study Of Vocal Strain, Bethany E. Wu

Theses and Dissertations

Due to prevalent vocal health issues in teachers, the acoustics of K-12 classrooms has become a topic of study in acoustics. One way to understand the effects of a classroom's physical space on speech is with vocal effort studies. This thesis aims to enable these studies, without the need to move a talker from room to room, by creating auralizations through real-time convolution of speech with oral binaural room impulse responses (OBRIRs). These auralizations can be used to test talkers inside an anechoic chamber as they experience speaking in different acoustical environments. A system that can successfully execute convolution in …

Post-Processing National Water Model Long-Range Forecasts With Random Forest Regression In The Cloud To Improve Forecast Accuracy For Decision-Makers And Water Managers, Jacob Matthew Anderson

Theses and Dissertations

Post-processing bias correction of streamflow forecasts can be useful in the hydrologic modeling workflow to fine-tune forecasts for operations, water management, and decision-making. Hydrologic model runoff simulations include errors, uncertainties, and biases, leading to less accuracy and precision for applications in real-world scenarios. We used random forest regression to correct biases and errors in streamflow predictions from the U.S. National Water Model (NWM) long-range streamflow forecasts, considering U.S. Geological Survey (USGS) gauge station measurements as a proxy for true streamflow. We used other features in model training, including watershed characteristics, time fraction of year, and lagged streamflow values, to help …

Local Food System Planning On Multiple Governance Scales: A Grounded Theory Analysis, Decker Ure

Theses and Dissertations

Local food systems (LFS) comprise the people, policies, infrastructure and practices of food production, distribution, and consumption in localized areas. LFS are becoming an increasingly important part of urban sustainable development and have recently gained significant traction in the urban planning and sustainable community spheres. Worldwide shocks to global food systems such as the COVID-19 pandemic and the Ukraine-Russia war have further elevated global interest in LFS, bringing local food to the forefront of many communities as they try to insulate themselves and their food supply from future risk. However, despite this growing interest in and policy momentum for local …

Kinetic Modeling Of Bacteria Removal From Suspensions By Magnetic Nanoparticle Capture And Magnetic Separation, Bowen J. Houser

Theses and Dissertations

This thesis investigates the kinetic modeling of bacteria removal from suspensions using magnetic nanoparticle (MNP) capture and magnetic separation. Functionalized magnetic nanoparticles, especially those coated with polydopamine (pDA), were employed to bind with various bacterial species in phosphate-buffered saline (PBS), apple juice, whole blood, and its components. By analyzing the capture efficiency and kinetics of capture across different bacterial species and mediums, we developed mathematical models describing the capture kinetics of bacteria by the pDA-MNPs. Experimental results demonstrated that pDA-coated MNPs achieved high capture efficiency with certain Gram-positive species like Staphylococcus aureus, and one Gram-negative species, Neisseria perflava; however, capture …

Time Reversal Delivery Of Long Duration Noise To A Targeted Location: Achieving Higher Amplitude While Maintaining A Desired Spectral Shape And Maximizing The Spatial Extent, Rylee Scott Russell

Theses and Dissertations

Time Reversal (TR) is a signal processing technique that can be used to focus acoustic waves to a specific location in space, with most applications aiming to create an impulsive focus. This study instead aims to focus long-duration noise signals using TR. This thesis seeks to generate higher amplitude noise at a desired location over an existing method of broadcasting equalized noise. Additionally, this thesis explores various characteristics associated with focusing long duration noise using TR. The dependence of the focal amplitude on the duration of the focused signal is explored as well as the implications of using multiple sources …

Grain Boundary Solute Segregation Across The 5d Space Of Crystallographic Character, Lydia Harris Serafin

Theses and Dissertations

Solute segregation in materials with grain boundaries (GBs) has emerged as a popular method to thermodynamically stabilize nanocrystalline structures. However, the impact of varied GB crystallographic character on solute segregation has never been thoroughly examined. This work examines Co solute segregation in a dataset of 7272 Al bicrystal GBs that span the 5D space of GB crystallographic character. Considerable attention is paid to verification of the calculations in the diverse and large set of GBs. In addition, the results of this work are favorably validated against similar bicrystal and polycrystal simulations. As with other work, we show that Co atoms …

Phosphorus Adsorption Capacity Of Volcanic Scoria, Easton Jeffrey Perkins

Theses and Dissertations

Phosphorus (P) pollution in stormwater runoff poses a significant threat to water quality, contributing to eutrophication and ecosystem degradation. This research evaluates the potential of volcanic scoria (VSco), an abundant and cost-effective resource in Utah, USA, to influence P concentrations in urban stormwater systems. Batch adsorption experiments examined the behavior of VSco across three particle sizes—fine (<0.841 mm), medium (0.841–2 mm), and granular (2.38–9.5 mm)—under conditions mimicking stormwater scenarios. The results reveal that fine VSco exhibited higher adsorption efficiency than medium and granular sizes, achieving notable P removal at higher concentrations. However, at lower concentrations, fine VSco showed potential for P release due to desorption of pre-existing P. Medium and granular VSco showed minimal adsorption capacity and, in some cases, acted as P sources, highlighting a dual potential depending on stormwater conditions. Adsorption isotherms indicate that the adsorption behavior of fine VSco aligns with the Langmuir model, with a finite and relatively low adsorption capacity. Calculated distribution coefficient (Kd) values for fine VSco ranged from 0.04 to 0.005 L/g, indicating weak adsorption efficiency compared to materials like activated carbon (1–10 L/g) or soils with moderate adsorption capacity (0.1–0.5 L/g). Loss-on-ignition tests confirmed that VSco’s performance is driven by its physical and chemical properties, particularly its calcium content, rather than organic matter. The study emphasizes caution in applying fine VSco for stormwater remediation due to its potential to release P under typical runoff conditions. However, fine VSco may still be viable in specific scenarios where P levels are higher, such as in stormwater hotspots or localized areas with elevated concentrations, allowing for targeted remediation. The research underscores the need for further testing to refine VSco’s applications, particularly in low-impact development (LID) practices, such as infiltration basins and rain gardens, to effectively manage P levels while supporting ecological and aesthetic goals. These findings contribute to understanding the complex role of VSco in urban stormwater systems, offering insights for sustainable water quality management and nutrient cycling in urban landscapes.

Developing A New Liquefaction Ejecta Prediction Model Considering Soil Properties Of Non-Liquifiable Surface Layers Using New Large Database From The 2012 Emilia Romagna, Italy Earthquakes, Jonah Bradley Dundas

Theses and Dissertations

The presence of a non-liquefied crust overlying a liquefied layer has been found to have a significant effect on sand ejecta and surficial liquefaction damage, as observed by Ishihara (1985). Following the 2010-2011 Canterbury seismic sequence in New Zealand, almost no foundation deformation occurred in areas with liquefaction susceptible soils overlain by at least a 3 meter thick crust [1]. In contrast, the 2012 Emilia-Romagna earthquake in Italy provided surface evidence of liquefaction despite 6+ meter thick crusts. Several researchers have proposed liquefaction prediction models [e.g. LPI [2], Ishihara Curves [3], LSN [4], LPIISH [5] and the methods proposed by …