Digital Commons Network^™

5. Navigating Benefits And Concerns When Discussing Genai Tools With Faculty And Staff, Reed Hepler

Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions

The author works as a Digital Initiatives Librarian and is earning a second Master's Degree in Instructional Design and Technology. He viewed ChatGPT immediately as yet another potentially useful technology. When educators at his institution promoted differing viewpoints regarding ChatGPT and other Al tools, he set out to demonstrate a method of Al integration similar to that of other technological tools. Using the Technology Consumer or Producer model and his own experience, he presented, discussed, and wrote about ChatGPT, its ethical issues, and its uses and impact on education. Reed shares his insights regarding creating instruction and training for educators. …

3. Empowering Educators In The Age Of Generative Ai: A Critical Media Literacy Approach, Ali Söken, Kysa Nygreen

Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions

This chapter draws from the authors' experience teaching an undergraduate course in the context of Generative Al (GenAl), and shares three instructional innovations we are implementing in response: 1) establishing an appropriate tone; 2) designing in-class activities to engage critically with GenAl; and 3) revising assessment and grading policies. These adaptations are informed by the framework of Critical Media Literacy (CML), which grounds the course. They aim to strike a balanced view that acknowledges both challenges and potentials of GenAl. This chapter aims to furnish a contextual framework for fellow educators to critically engage with the realm of GenAl. Core …

2. Some Ethical Considerations For Teaching And Generative Ai In Higher Education, Lydia Wilkes

Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions

The chapter discusses some ethical considerations for teaching and generative Al in higher education with a focus on large language models like ChatGPT. These considerations include generative Al's effects on the environment and labor, its reliance on data and tendency to violate privacy, the biases encoded in it, and the digital divide. As more sophisticated generative Al is integrated into word processors, these ethical concerns will become more difficult to perceive and the ethics of using Al more difficult to parse. This chapter concludes with a note on power and justice.

Part I: Section 1: Framing Concepts, Beth Buyserie, Travis N. Thurston

Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions

No abstract provided.

Introduction, Beth Buyserie, Travis N. Thurston

Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions

With the rapid development of generative Al, teachers are experiencing a new pedagogical challenge, one that promises to forever change the way we approach teaching and learning. As a response to this unprecedented teaching context, this collection-Teaching and Generative Al: Pedagogical Possibilities and Productive Tensions-provides interdisciplinary teachers, librarians, and instructional designers with practical and thoughtful pedagogical resources for navigating the possibilities and challenges of teaching in an Al era. Because our goal with this edited collection is to present nuanced discussions of Al technologies across disciplines, the chapters collectively acknowledge or explore both possibilities and tensions-including the strengths, …

Land Acknowledgement/Foreword, Tazin Daniels

Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions

In the rapidly evolving landscape of higher education, the emergence of Generative Artificial Intelligence (Al) stands as a beacon of both innovation and introspection, heralding a new era in teaching and learning. This book serves as a guide for college instructors who find themselves at the cusp of this technological revolution-those who are intrigued yet perhaps apprehensive, eager to explore yet unsure where to begin. As we begin this journey, it is vital to acknowledge the spectrum of emotions that accompany its integration into academia: from excitement and curiosity to caution and concern. Recognizing and normalizing these feelings is the …

13. Rude Reflections: Current Ai Acts As A Mirror Of Our Flawed Society, Belinda 'Ofakihevahanoa Fotu

Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions

In face-to-face classrooms, culturally and critically conscious teachers fight to mediate skills, content, and students' backgrounds all within the bounds of a systematically flawed educational institution. For now, AIs that aid in writing bypass that kind of meaningful work as AIs reflect the corpus of published literature that overwhelmingly reflects historically problematic hierarchical biases.

35. Using Generative Ai To Perform Stacked Evaluations Of Educational Documents: Provoking Students To Think On Successively Higher Levels, Susan Codone

Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions

This chapter describes the use of ChatGPT in a graduate class assignment and explores how Al can scaffold student work to promote successively higher levels of thinking. The assignment asked students to compose a "stacked evaluation" of school district technology plans, which included a rubric generated by ChatGPT, evaluation data generated by ChatGPT using the rubric criteria, and the students' evaluation of both the technology plan and of the ChatGPT evaluation. Student deliverables were more thorough than in previous semesters and included clear demarcation of Al-generated text and original writing. Because students asked ChatGPT to act in the persona of …

26. Working Alongside, Not Against, Ai Writing Tools In The Composition Classroom: A Dialectical Retrospective, Daniel Frank, Jennifer K. Johnson

Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions

This article presents a dialectical retrospective on thoughtfully integrating Generate AI tools such as ChatGPT into composition classrooms. Drawing on their experiences and research, the authors outline key principles for using AI as a supplemental aid rather than a replacement for student writing, promoting academic integrity, and fostering critical perspectives on the technology's capabilities and limitations. They share experimental classroom activities and assignments that engage students in hands-on exploration and reflection on their AI-assisted writing processes. Student responses reveal nuanced engagement with the tools to support rather than shortcut learning. The authors argue that attempting to simply prohibit AI use …

23. Cake-Making Analogy For Setting Generative Ai Guidelines/Ethics, Maha Bali

Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions

This is a lesson plan that offers metaphor as an innovative approach to teaching about the ethical use of generative Al. The cake-making analogy equates different ways of acquiring a cake (baking from scratch, using a readymade mix from a box, buying from a bakery or buying preserved cake from a supermarket) with varying degrees of reliance on Al as a shortcut for tasks or assignments. The lesson invites participants (who may be students or teachers) to critically consider the implications of each mode, examining factors such as quality, time, cost, and personal investment. This analogy is then applied to …

7. Automated Aid Or Offloading Close Reading? Student Perspectives Of Ai Reading Assistants, Marc Watkins

Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions

Generative Al technologies offer new opportunities for enhancing student learning that go beyond chatbot interfaces like ChatGPT. This chapter presents reflections from a small study about the possible benefits and challenges posed by integrating Al-powered reading assistants in first-year writing courses. Careful integration of these tools suggests potential benefits that do not simply generate text on students' behalf. For example, reading assistants like Explainpaper and SciSpace are powered by large language models like OpenAl's GPT and can help students augment reading. This application of generative technology could aid non-native speakers, students with disabilities, and those struggling with reading comprehension. However, …

6. More Is Less?: Using Generative Ai For Idea Generation And Diversification In Early Writing Processes, Franziska Tsufim, Lainie Pomerleau

Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions

As writing teachers, we are strong proponents of process writing. At the same time, we are aware that early process work, especially in a group setting, can be time consuming and anxiety-inducing. Students may also self-censor when sharing work with peers especially if they are not confident in their ideas. Drawing on the process of nominal, electronic brainstorming, we created two different prompts that allowed students to incorporate generative Al into their idea generation process. This first activity improves the efficiency of individual idea generation, while the second exercise helps increase student confidence in their ideas in collaborative brainstorming situations. …

Utah Growing Water Smart: The Water-Land Use Integration Guidebook For Southwestern Utah, Kelly Kopp, Joanna Endter-Wada

Utah Growing Water Smart

The Utah Growing Water Smart workshops bring together teams of key community staff and water and land use planning decision makers to help build a more resilient and sustainable water future. The workshops use a range of public engagement, planning, communication, and policy implementation tools to help community teams realize their water efficiency, smart growth, watershed health, and water resiliency goals.

This 3^rd edition of the Utah Growing Water Smart curriculum guidebook was prepared for the workshop focused on the Washington County Water Conservancy District service area and held on the campus of Southern Utah University in Cedar City, …

Quantifying Wild Pig Disturbance In Pastures And Wetlands Using Unmanned Aerial Vehicle-Derived Imagery, Wesley M. Anderson, Bethany Wight, Raoul K. Boughton

Human–Wildlife Interactions

The use of unmanned aerial vehicles (UAVs) for agricultural and environmental research has increased markedly in recent years, and a key application has been to conduct damage assessments. Invasive wild pigs (Sus scrofa) cause both agricultural and environmental damage, and past studies have utilized UAVs to quantify this damage. Each methodology has advantages, but they also have drawbacks such as high rates of damage omission or reliance upon a near-infrared camera, which may be prohibitively expensive for some land managers and scientists. Our objective was to develop a methodology that could be easily implemented to conduct wild pig …

28. Creating Constitutions With Chatgpt, Julia M. Gossard

Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions

This chapter explores how students used ChatGPT to construct constitutions in a course on the history of the Age of Revolutions. Student responses, the product, and instructor implications and critiques are included.

19. Wrestling With A.I., Catherine J. Denial

Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions

Generative AI has been sold to us at speed, promising quick resolutions to writing problems for students and demanding nimble responses from faculty. This essay suggests that instead of surrendering to a manufactured sense of urgency we take the time to fully grapple with the meaning of generative AI, and to respond to its challenges. By thinking through the ethical dimensions of AI in the classroom, and by gradually changing our assessment practices, we place humans back at the center of our common educational experiences.

Part Iii: Section 3: Race And Indigenous Studies, Beth Buyserie, Travis N. Thurston

Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions

No abstract provided.

4. Developing Media And Information Literacy Through Dialogues About Ai, Rosa Thornley, Dory Rosenberg

Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions

Inviting students to dialogue about Artificial Intelligence (Al) can help to develop media and information literacy. Instead of establishing restrictive policies, we present a method for instructor-facilitated dialogues to teach students to analyze, evaluate, and interact with generative language models. This recursive inquiry process causes students to critically think about the spectrum of AI capabilities and limitations. Practicing this inquiry habit over time directs students towards intuitively questioning the Al which leads them to govern their own choices when they become rhetorically aware of emerging technologies and how it will affect their own research and writing. For instructors in higher …

1. Navigating The New Frontier Of Generative Ai In Peer Review And Academic Writing, Chris Mayer

Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions

This chapter provides an overview of the current landscape and implications of Generative Al (GenAl) in higher education, particularly focusing on its role in academic writing and peer review. The emergence of GenAl tools such as ChatGPT is a transformative development in education, with widespread adoption at unprecedented speed. Large Language Models such as ChatGPT offer great potential for enhancing education and academic writing but also raise serious ethical concerns and tensions including access and usability, the perpetuation of Standard Academic English, and issues of linguistic justice. There is also the need for new approaches and pedagogies for how to …

14. Indigenous Futures In Generative Artificial Intelligence: The Paradox Of Participation, Rogelio E. Cardona-Rivera, J. Kaleo Alladin, Breanne K. Litts, Melissa Tehee

Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions

As we work toward expanding and diversifying accurate representations of Indigenous peoples in classrooms, we must also consider the role of Native people in the construction of these technologies. Indigenous communities face the following paradox in the Generative Al space: in wanting to be represented by the Generative Al by sharing data representations their ways of knowing and being, they lose the agency to exert their rhetorical, technological, and data sovereignty over whatever is shared into the Generative Al system. Alternatively, not participating in the Generative Al space continues to perpetuate Western-centric biases and systemic racism built into the existing …

Target Size Estimation Through Sensor Fusion, Morgan Davidson, Cory Brinck, Kori Moore, Tanner Chase

Space Dynamics Laboratory Publications

Target size is an important quantity in both classification and multi-sensor target tracking applications, but it is often an unknown. In some imaging applications, target size is assumed based on classification results. This assumed size is sometimes used in the synthesis of range measurements from monocular imagery, based on the apparent target size that is observed. Range-from-apparent-size measurements may be the only range measurements available during times when sensors that produce range information (such as radar) are not available. This range-from-apparent-size approach is typically plagued by range bias in the resulting measurements due to several factors. In this work, we …

Small Satellite Formation Control For A Fixed Thrust Propulsion System, John Akagi, Tyson K. Smith

Space Dynamics Laboratory Publications

This paper develops a model predictive control based formation flying algorithm for small spacecraft with a fixed thrust magnitude constraint that models the limitations of thrusters which have little to no ability to scale the thrust magnitude. The control instead calculates the optimal thrust duration which results in a mixed integer linear program (MILP). A guidance trajectory and control deadband are implemented to mitigate the increased computation time and possibility of control chattering that arise from the MILP formulation. A three spacecraft formation is tested in a series of simulations with varying dead- band widths and the performance in terms …

On The History And Semantics Of Burble In Aerodynamic Theory, Benjamin C. Moulton, Cory D. Goates, Troy A. Abraham

Mechanical and Aerospace Engineering Student Publications and Presentations

The term burble has been in use in aerodynamic theory for over a century. While burble may be unfamiliar to most contemporary aerodynamicists, the word has a rich history based in aerodynamic theory and experimentation. The present paper outlines the fluidity of burble's meaning over time. From analyzing subsonic flow over an airfoil, to the implementation of stochastic turbulence in aircraft carrier landing simulations, the term burble has had a significant impact on the study of aerodynamics. The term burble has fallen out of use in aerodynamic engineering circles. Why did this happen? And what can be learned from the …

Random Forests Regression For Soft Interval Data, Paul Gaona-Partida, Chih-Ching Yeh, Yan Sun, Adele Cutler

Mathematics and Statistics Faculty Publications

Analyzing soft interval data for uncertainty quantification has attracted much attention recently. Within this context, regression methods for interval data have been extensively studied. As most existing works focus on linear models, it is important to note that many problems in practice are nonlinear in nature and the development of nonlinear regression tools for interval data is crucial. This paper proposes an interval-valued random forests model that defines the splitting criterion of variance reduction based on an L₂ type metric in the space of compact intervals. The model simultaneously considers the centers and ranges of the interval data as …

Structure Identification For High-Dimensional Data In The Vicinity Of Bear Lake, Ben Shaw, Haley Burger, Brennan L. Bean, Kevin R. Moon

Mathematics and Statistics Faculty Publications

This report focuses on seven water quality measurements taken at 43 different depths on the Bear Lake, Utah-Idaho for the months of June - November in the years 2018 - 2023. These measurements create a high-dimensional dataset on which we apply state-of-the-art machine learning (ML) techniques to look for low-dimensional structure in the data. A similar effort was made for weather measurements taken near the lake. Our analysis reveals that water quality measurements tend to cluster (i.e., group together) by year, while weather measurements tend to cluster by time of the year. This in mind, we explore potential drivers of …

Facilitating Mathematics And Computer Science Connections: A Cross-Curricular Approach, Kimberly E. Beck, Jessica F. Shumway, Umar Shehzad, Jody Clarke-Midura, Mimi Recker

Publications

In the United States, school curricula are often created and taught with distinct boundaries between disciplines. This division between curricular areas may serve as a hindrance to students' long-term learning and their ability to generalize. In contrast, cross-curricular pedagogy provides a way for students to think beyond the classroom walls and make important connections across disciplines. The purpose of this paper is a theoretical reflection on our use of Expansive Framing in our design of lessons across learning environments within the school. We provide a narrative account of our early work in using this theoretical framework to co-plan and enact …

Negotiating Inherent Asymmetries Of Co-Design: A Case Of Integrative Elementary Mathematics And Computer Science Instruction, Victor R. Lee, Stephanie Robillard, Mimi Recker, Jody Clarke-Midura, Jessica Shumway

Publications

Collaborative design, or “co-design”, is a term that has gained popularity in educational research and design communities, including those working with K-12 educators. While more groups are identifying with and pursuing co-design, much remains to be understood about how to structure the work within given different constraints, circumstances, and resources available to different parties. We propose understanding co-design as having inherent asymmetries and that structuring co-design work patterns involves negotiation of those asymmetries. Through a case of an elementary computer science and math integration research-practice partnership, we share ways that those asymmetries are both intentionally softened and leveraged at different …

Moab Local Food Guide 2024, Roslynn Mccann, Shiree Duncan

All Current Publications

Thank you for picking up this Moab Utah Local Food Guide. Those growing and producing food within a 100 mile radius from Moab have been included in this guide to help YOU make locally sourced purchasing decisions!

Search For Osme Bonds With Π Systems As Electron Donors, Xin Wang, Qingzhong Li, Steve Scheiner

Chemistry and Biochemistry Faculty Publications

The Osme bond is defined as pairing a Group 8 metal atom as an electron acceptor in a noncovalent interaction with a nucleophile. DFT calculations with the ωB97XD functional consider MO₄ (M = Ru, Os) as the Lewis acid, paired with a series of π electron donors C₂H₂ , C₂H₄ , C₆H₆ , C₄H₅N, C₄H₄O, and C₄H₄S. The calculations establish interaction energies in the range between 9.5 and 26.4 kJ/mol. Os engages in stronger interactions than does Ru, …

Modeling Of Frontal Polymerization Of Carbon Fiber And Dicyclopentadiene Woven Composites With Stochastic Material Uncertainty, Ahmadreza Mohammad Sharifi, Dong-Jun Kwon, S. Z. H. Shah, Juhyeong Lee

Mechanical and Aerospace Engineering Faculty Publications

A novel finite element modeling framework is proposed for simulating dicyclopentadiene (DCPD) frontal polymerization in carbon fiber (CF) woven composites. A mesoscale CF/DCPD representative volume element (RVE) model was developed with two triggering directions, resulting in out-of-plane and in-plane DCPD polymerization. The Arrhenius equation coupled with a modified Prout-Tompkins autocatalytic model was used to evaluate the dynamic DCPD polymerization process. The rate and degree of DCPD cure were calculated by the material property uncertainties of DCPD with and without random void inclusions (3% used as a reference in this work). The DCPD frontal polymerization in CF/DCPD composite was strongly influenced …