Artificial Intelligence and Robotics Commons^™

9. Uses, Benefits, And Limitations Of Ai Chatbots: Implementing Chatgpt In The First-Year Writing Classroom, Walker Smith, Cora Alward, Jacob Morris, Lydia Peach, Veronica Pulley, Parker Routt, Kolby Sanders, Josh Vogeler

Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions

This essay shares the findings of a Spring 2023 honors composition course in which students conducted their own primary research project to investigate the uses and limitations of ChatGPT for first-year writers. By experimenting with integrating ChatGPT into various stages of their writing and revision processes, the students identified the strengths and weaknesses of the writing tool. Then, they observed and interviewed faculty as they graded different versions of essay drafts with varying levels of ChatGPT assistance. Ultimately, they found that ChatGPT was incredibly useful for certain small-scale tasks, but posed significant risks, especially for students with less experience in …

8. Ai And Writing Classrooms: A Study Of Purposeful Use And Student Responses To The Technology, Laura Dumin

Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions

Given that Al is here for the foreseeable future, I revamped my spring 2023 English courses to include using Al in purposeful ways. I submitted an IRB to test different approaches to integrating Al into my classrooms. The study asked students in three different English courses to complete pre- and post-reflections about their understanding of Al and its uses.

This chapter will discuss how my students responded to the use of Al in the writing classroom, how student attitudes toward Al shifted over the course of the semester, ideas for how to use Al in writing classrooms, and the main …

Part Ii: Section 2: Research Studies, Beth Buyserie, Travis N. Thurston

Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions

No abstract provided.

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. …

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 …

Generative Neural Network Approach To Designing And Optimizing Dynamic Inductive Power Transfer Systems, Andrew Pond Curtis

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Electric vehicles (EVs) offer many improvements over traditional combustion engines including increasing efficiency, while decreasing cost of operation and emissions. There is a need for the development of cheap and efficient charging systems for the future success of EVs. Most EVs currently utilize static plug-in charging systems. An alternative charging method of significant interest is dynamic inductive power transfer systems (DIPT). These systems utilize two coils, one placed in the vehicle and one in the roadway to wirelessly charge the vehicle as it passes over. This method removes the current limitations on EVs where they must stop and statically charge …

Machine Learning Enhanced Free-Space And Underwater Oam Optical Communications, Patrick L. Neary

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Communications, bandwidth, security, and hardware simplicity are principles of interest to society at large. Recent advances in optics and in understanding properties of light, such as orbital angular momentum (OAM), have provided new potential mediums for communication.

Machine learning has wound its way into a broad range of fascinating areas. An emerging field of research is the use of a unique property of lasers called orbital angular momentum (OAM). With the proper hardware, a laser can go from a Gaussian shaped distribution to a doughnut shaped pattern, where the radius can be changed. Multiple OAM patterns, or modes, can be …

Deep Reinforcement Learning Pairs Trading, Andrew Brim

All Graduate Plan B and other Reports, Spring 1920 to Spring 2023

This research applies a deep reinforcement learning technique, Deep Q-network, to a stock market pairs trading strategy for profit. Artificial intelligent methods have long since been applied to optimize trading strategies. This work trains and tests a DQN to trade co-integrated stock market prices, in a pairs trading strategy. The results demonstrate the DQN is able to consistently produce positive returns when executing a pairs trading strategy.

Image Segmentation Using De-Textured Images, Yaswanth Kodavali

All Graduate Plan B and other Reports, Spring 1920 to Spring 2023

Image segmentation is one of the fundamental problems in computer vision. The outputs of segmentation are used to extract regions of interest and carry out identification or classification tasks. For these tasks to be reliable, segmentation has to be made more reliable. Although there are exceptionally well-built algorithms available today, they perform poorly in many instances by producing over-merged (combining many unrelated objects) or under-merged (one object appeared as many) results. This leads to far fewer or more segments than expected. Such problems primarily arise due to varying textures within a single object and/or common textures near borders of adjacent …

Real-Time Vision-Based Lane Detection With 1d Haar Wavelet Transform On Raspberry Pi, Vikas Reddy Sudini

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Rapid progress is being made towards the realization of autonomous cars. Since the technology is in its early stages, human intervention is still necessary in order to ensure hazard-free operation of autonomous driving systems. Substantial research efforts are underway to enhance driver and passenger safety in autonomous cars. Toward that end GreedyHaarSpiker, a real-time vision-based lane detection algorithm is proposed for road lane detection in different weather conditions. The algorithm has been implemented in Python 2.7 with OpenCV 3.0 and tested on a Raspberry Pi 3 Model B ARMv8 1GB RAM coupled to a Raspberry Pi camera board v2. To …

An Evolutionary Approach To Optimization Of Compound Stock Trading Indicators Used To Confirm Buy Signals, Allan W. Teeples

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

This thesis examines the application of genetic algorithms to the optimization of a composite set of technical indicator filters to confirm or reject buy signals in stock trading, based on probabilistic values derived from historical data. The simplicity of the design, which gives each filter within the composite filter the ability to act independently of the other filters, is outlined, and the cumulative indirect effect each filter has on all the others is discussed. This system is contrasted with the complexity of systems from previous research that attempt to merge several indicator filters together by giving each one a weight …