Computer Sciences Commons^™

18. Cheating As Symptom, Not Disease, Adena Rivera-Dundas

Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions

Students may turn to generative AI to cheat—not because they don't want to learn, but because academia has been structured to prioritize perfectionism over process. Considering the white supremacist context of academia's unspoken "hidden curriculum" enables educators to re-evaluate norms such as grading policies in order to create classrooms where generative AI can co-exist with essay writing.

17. Epistemological Clash: Ai And Ways Of Knowing, Emma Mecham

Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions

AI highlights important epistemological debates, particularly for Indigenous communities

16. Use Of Ai In Teaching Social Statistics Or Data Analysis, Mudasir Mustafa

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, Als that aid in writing bypass that kind of meaningful work as Als reflect the corpus of published literature that overwhelmingly reflects historically problematic hierarchical biases.

15. Co-Creating Intersectional Design Narratives With Ai, Ha Nguyen

Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions

This chapter presents a co-writing activity with generative Artificial Intelligence (GenAI) to help students reflect on intersectional perspectives in UX/UI (User Experience/User Interface) Design. The activity positions GenAI tools as a thought partner to help students question their assumptions and consider the long-term impact of their design.

12. Cultural Reproduction: Ais Interrupting The Cultural Healing Work Of Teachers, Belinda 'Ofakihevahanoa Fotu

Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions

The following is a narrative where a student who unwisely trusted AI to write his term paper, based off of a prompt and a historically culturally problematic text, The Lord of the Flies, realizes that the AI wrote a racist essay for him. Because this took place in a culturally and critically conscious classroom, the student was accountable for the deeply flawed ideas written by the AI.

11. Race Against The Machine, Samantha K. Yoder

Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions

This brief chapter asks readers to consider AI's connections to racial stereotypes and structural inequality.

10. Broadening Applications Of Artificial Intelligence In Education To Include Indigenous Ways Of Knowing, Megan Hamilton

Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions

Incorporating Indigenous ways of knowing with applications of artificial intelligence in education is necessary for promoting equitable and barrier-free learning opportunities for learners. Further research is needed as scholars and practitioners work toward bridging Indigenous ways of knowing with western forms of artificial intelligence in education in mutually beneficial ways.

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.

Deepwhalenet: A Climate Change-Aware Fft-Based Neural Network For Underwater Passive Acoustic Monitoring, Nicholas Ryan Rasmussen

Dissertations and Theses

In the face of escalating climate threats, the conservation of whale species has become increasingly critical. Traditional acoustic monitoring methods, burdened by extensive pre-processing and post-processing, need more adaptability and efficiency for effective marine mammal surveillance. This study introduces DeepWhaleNet, a novel deep-learning framework tailored for Underwater Passive Acoustic Monitoring (UPAM). DeepWhaleNet is designed to streamline whale detection by directly analyzing raw log-power spectrograms, thus extracting essential acoustic features to conserve these endangered species. The framework employs an extensive short-time Fourier transform (STFT) for input processing and a customized ResNet-18 architecture for classification, distinguishing whale vocalizations from ambient noise and …

Mivt: Medical-Informed Vision Transformer For Early Epilepsy Diagnosis, Md Masum Rana

Dissertations and Theses

Epilepsy is a neurological disorder characterized by recurrent, unprovoked seizures, and early diagnosis is crucial for effective management and treatment. However, the diagnosis of epilepsy, particularly in its early stages, remains challenging due to the subtle nature of seizures and the complexity of brain activity patterns. In this research, we introduce the Medical-Informed Vision Transformer (MIVT), a deep learning architecture specifically designed to improve early epilepsy diagnosis from multimodal neuroimaging data. Our model integrates insights from both medical knowledge and state-of-the-art Vision Transformers (ViTs) to enhance the accuracy and interpretability of seizure detection and localization. The MIVT leverages the rich …

Development Of A Modular Lab Automation System With Applications To Animal And Bacteria Cell Culture, Timothy William Hartman

Dissertations and Theses

The challenges faced while executing wet lab protocols encourage the development of automation systems to come alongside human scientists. Today’s cutting-edge experiments involve complex protocols with precise measurements usually performed manually. Even simpler biological protocols can be tedious and prone to error, as was seen during the COVID-19 pandemic and society’s demand for high-volume, rapid sample analysis. Moreover, reproducibility suffers when there is excessive variability and insufficient data. Here, we leveraged the Stanford Biodesign process to develop a modular lab automation system and image analysis workflow to address challenges like these. This flagship automation platform at The University of South …

Artificial Intelligence And News Consumption: A Study Of Trust, Credibility And Transparency In Automated Journalism, Julia Lobo Paes

Dissertations and Theses

According to Gallup poll (2023), over the last 50 years there has been a decline in how much Americans trust mass media. While in the 1970’s 72% of the population responded that they trust the media a 'great deal/fair amount', this number dropped to 34% in 2023. Given the decreasing public trust in news, this thesis focused particularly on analyzing trust in the organization, trust in the news story and perceived credibility in AI generative content. In addition to articles created by AI, this study also aimed to analyze how the public perceives information that has been personalized and distributed …

Unveiling User Perspectives: Exploring Themes In Femtech Mobile App Reviews For Enhanced Usability And Privacy, Nidhi Nellore, Tania Mishra, Michael Zimmer

Computer Science Faculty Research and Publications

Femtech, a growing sector in mobile healthcare technology, caters to women's needs across various life stages with digital solutions like period tracking and pregnancy management apps. Maintaining robust data privacy is crucial due to the sensitive nature of the information involved, such as menstrual cycles and pregnancy status. Our research analyzes user feedback from platforms like the Apple App Store and Google Play Store to understand perceptions of femtech apps, covering accessibility, interface, features, and privacy concerns. Understanding user perspectives helps developers enhance usability and trust, driving further adoption. Prioritizing privacy also fosters industry advancement. This paper stresses the importance …

Remember The Human: A Systematic Review Of Ethical Considerations In Reddit Research, Casey Fiesler, Michael Zimmer, Nicholas Proferes, Sarah A. Gilbert, Naiyan Jones

Computer Science Faculty Research and Publications

Reddit is one of the world's most prominent social media platforms, and also a valuable source of data for internet researchers. However, working with this kind of data also presents novel ethical complications for researchers, including issues around privacy, vulnerable populations, and unintended consequences. This paper describes an analysis of 134 papers that rely on Reddit data while also including some discussion of ethical implications and/or considerations by the researchers. Our analysis of these papers reveals common ethical issues and ethically motivated methodological decisions, as described by the researchers themselves, while also exposing some gaps for further ethical contemplation for …

Short, Full, Best: Analysis Of Different Conference Papers, Miguel Williams

Graduate Research Theses & Dissertations

Research, publish, repeat. This is the basic cycle of anyone in academia. Individuals in academia conduct research, write up your research into a paper or journal article, submit to a conference or journal, and repeat the process. If you're skilled you may even obtain the coveted best paper award from the conference. In this research, I compare full papers to short papers and full papers to best papers. I start by fine-tuning three transformer models for classification capabilities. After I calculate lexical diversity and readability metrics of the papers, I use the features to train three traditional machine learning models. …

Ai-Based Defect Detection In Aerospace Ultrasonic Signals, Rami Issac Lake

Graduate Research Theses & Dissertations

Ensuring the safety and integrity of materials and structures throughout the manufacturing cycle is a critical concern across various industries, including aerospace, automotive, oiland gas, and civil engineering. Non-Destructive Inspection (NDI) techniques allow for the examination of materials without causing damage or alteration, enabling the early detection of potential issues before materials are utilized in the field. The inspection of fuselage composites presents a particular challenge due to their complex structures, diverse materials, and differences in thickness, making defect detection a challenging yet crucial task. Moreover, defects of various types and causes can emerge across all depths of the material …

Volume 15, Connor Thompson, Emily Steffenhagen, Emily Robertson, Luis Fernando Dos Reis, Emily Farmer, Samuel Villa, Robert Allison, Zachary Chessor, Megan Borden, Austin Burnett, Larry W. Grant Jr., Tristan Marowski, Emma Moore, Pearl Siff

Incite: The Journal of Undergraduate Scholarship

Introduction Dr. Amorette Barber, Director, Office of Student Research

From the Editor Dr. Hannah Dudley-Shotwell

Artist’s Statement Connor Thompson

On Mentorship Dr. John Miller

The Meat of the Matter: Alien, Human, and Animal in Terry Bisson’s “They’re Made Out of Meat” by Emily Steffenhagen

“Please REBLOG!”: An Ethical Analysis of Doxxing, Internet Vigilantism and Racists Getting Fired by Emily Robertson

Journaling: Paper Has More Patience Than People by Luis Fernando Dos Reis

The Effects of Climate Change on the Archaeological World by Emily Farmer

Lowered Seat Height Does Not Impair Wingate Performance in Untrained Cyclists by Samuel Villa, Robert Allison, …

Machine Learning And Rna Bioinformatics, Jason Rafe Miller

Graduate Theses, Dissertations, and Problem Reports (ETD)

The applied science of bioinformatics encompasses computational analysis of molecular biology data. Advances in genomics and DNA sequencing technology have enabled computational analysis of ribonucleic acids (RNAs), which play diverse and critical roles in most cells. To assist the study of human RNA, we trained machine learning models on RNA nucleotide sequences, devoid of domain knowledge. We built models that distinguish long non-coding lncRNA from protein-coding mRNA, and models that predict the cytoplasmic vs. nuclear preferences of lncRNAs. In a review of published lncRNA subcellular localization classifiers, we show that the commonly used validation protocol generates optimistic performance measures, and …

On Confidence And Sense Of Belonging In Cybersecurity Students: Analysis & Prediction, Sadaf Amna Sarwari

Graduate Theses, Dissertations, and Problem Reports (ETD)

In recent years, there has been a rapid expansion of cybersecurity programs across higher education institutions in response to the widening skills gap in the cybersecurity job market. This study adopts quantitative and qualitative approaches to identify factors influencing West Virginia University (WVU)’s LANE Department of Computer Science and Electrical Engineering (LCSEE) students’ confidence and sense of belonging in the cybersecurity field. The results are based on data collected from surveys administered to LCSEE students in April 2022 and April 2023. The responses were analyzed using descriptive & inferential statistics and logistic regression techniques. Additionally, the 2023 data was utilized …

Simulation Of A Pick And Place System For Electronic Cards Using A Yumi Cobot, Derrick Sze, Rosula Sj Reyes, Patricia Angela R. Abu

Electronics, Computer, and Communications Engineering Faculty Publications

Collaborative Robots are one of the main drivers of Industry 4.0, which started as a vision focusing on industrial production. It addresses several challenges in the current manufacturing industry such as performing repetitive work and requiring highly skilled workers. The goal of the research is to be able to simulate a pick and place environment with electronic cards using a YuMi cobot and mobile platforms in Coppeliasim. The mobile robot is responsible for transporting the electronic cards to the target location through path planning implemented using the OMPL plug-in. After arriving at the target location, YuMi will then perform the …

Optimizing Sports Outcome Prediction Through Feature Engineering And Machine Learning, Vitor S. Freitas

Graduate Theses/Dissertations

The challenge of predicting the outcome of a team game lies in the high complexity and dynamics of the sports data. This thesis focuses on the aspect of using feature engineering and the genetic algorithm to predict the winner and the score of various sports events. Generally, it deals with how machine learning algorithms are combined with state-of-the-art feature engineering techniques in sports datasets derived from various sports disciplines. In this thesis, five different machine learning models have been applied, classification and regression trees (CART), random forest (RF), stochastic gradient boosting (SGB), eXtreme gradient boosting (XGBoost), and extreme learning machine …