17. Epistemological Clash: Ai And Ways Of Knowing,
2024
Utah State University
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
Part Ii: Section 2: Research Studies,
2024
Utah State University
Part Ii: Section 2: Research Studies, Beth Buyserie, Travis N. Thurston
Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions
No abstract provided.
Introduction,
2024
Utah State University
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, …
35. Using Generative Ai To Perform Stacked Evaluations Of Educational Documents: Provoking Students To Think On Successively Higher Levels,
2024
Mercer University
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,
2024
UC Santa Barbara
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 …
7. Automated Aid Or Offloading Close Reading? Student Perspectives Of Ai Reading Assistants,
2024
University of Mississippi
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, …
23. Cake-Making Analogy For Setting Generative Ai Guidelines/Ethics,
2024
American University
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 …
6. More Is Less?: Using Generative Ai For Idea Generation And Diversification In Early Writing Processes,
2024
Georgia Institute of Technology
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,
2024
Utah State University
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.,
2024
Knox College
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.
14. Indigenous Futures In Generative Artificial Intelligence: The Paradox Of Participation,
2024
University of Utah
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 …
Part Iii: Section 3: Race And Indigenous Studies,
2024
Utah State University
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.
A Prototype Of A Conversational Virtual University Support Agent Powered By A Large Language Model That Addresses Inquiries About Policies In The Student Handbook,
2024
Ateneo de Manila University
A Prototype Of A Conversational Virtual University Support Agent Powered By A Large Language Model That Addresses Inquiries About Policies In The Student Handbook, Joseph Benjamin R. Ilagan, Jose Ramon Ilagan
Quantitative Methods and Information Technology Faculty Publications
Universities gain a competitive advantage by deliberately improving overall service, student, faculty, and staff experience, leading to attractiveness, retention, and improved outcomes. Quality services are achieved partly by addressing employee satisfaction, specifically in the work environment. This paper presents a prototype study of a virtual university support agent, a system grounded in a Large Language Model (LLM) engineered to address inquiries from university students, faculty and staff related to the student handbook. The study investigates the integration of generative artificial intelligence and natural conversation properties inherent in LLMs to overcome customer service shortcomings identified in previous chatbot applications. The LLMs' …
Exploratory Prompting Of Large Language Models To Act As Co-Pilots For Augmenting Business Process Work In Document Classification,
2024
Ateneo de Manila University
Exploratory Prompting Of Large Language Models To Act As Co-Pilots For Augmenting Business Process Work In Document Classification, Jose Ramon Ilagan, Joseph Benjamin R. Ilagan, Claire Louisse Basallo, Zachary Matthew Alabastro
Quantitative Methods and Information Technology Faculty Publications
Businesses deal with different types of documents containing unstructured documents. The data in these documents must be converted into digital forms other automated systems could only process. One generic use case is document classification, which usually involves manual transformation due to human understanding needed in the process. These documents go beyond those generated through regular business transactions and operations and also include web-based content such as online news, blogs, e-mails, and various digital libraries. Recent developments in robotic process automation (RPA) and artificial intelligence (AI) aim to automate the otherwise expensive, time-consuming, and repetitive manual steps. Through more powerful natural …
Ethical Education Data Mining Framework For Analyzing And Evaluating Large Language Model-Based Conversational Intelligent Tutoring Systems For Management And Entrepreneurship Courses,
2024
Ateneo de Manila University
Ethical Education Data Mining Framework For Analyzing And Evaluating Large Language Model-Based Conversational Intelligent Tutoring Systems For Management And Entrepreneurship Courses, Joseph Benjamin R. Ilagan, Jose Ramon Ilagan, Ma. Mercedes T. Rodrigo
Quantitative Methods and Information Technology Faculty Publications
Educational data mining (EDM) can be used to design better and smarter learning technology by finding and predicting aspects of learners. Amend if necessary. Insights from EDM are based on data collected from educational environments. Among these educational environments are computer-based educational systems (CBES) such as learning management systems (LMS) and conversational intelligent tutoring systems (CITSs). The use of large language models (LLMs) to power a CITS holds promise due to their advanced natural language understanding capabilities. These systems offer opportunities for enriching management and entrepreneurship education. Collecting data from classes experimenting with these new technologies raises some ethical challenges. …
Automatic Hemorrhage Segmentation In Brain Ct Scans Using Curriculum-Based Semi-Supervised Learning,
2024
The University of Texas at El Paso
Automatic Hemorrhage Segmentation In Brain Ct Scans Using Curriculum-Based Semi-Supervised Learning, Solayman H. Emon, Tzu-Liang (Bill) Tseng, Michael Pokojovy, Peter Mccaffrey, Scott Moen, Md Fashiar Rahman
Mathematics & Statistics Faculty Publications
One of the major neuropathological consequences of traumatic brain injury (TBI) is intracranial hemorrhage (ICH), which requires swift diagnosis to avert perilous outcomes. We present a new automatic hemorrhage segmentation technique via curriculum-based semi-supervised learning. It employs a pre-trained lightweight encoder-decoder framework (MobileNetV2) on labeled and unlabeled data. The model integrates consistency regularization for improved generalization, offering steady predictions from original and augmented versions of unlabeled data. The training procedure employs curriculum learning to progressively train the model at diverse complexity levels. We utilize the PhysioNet dataset to train and evaluate the proposed approach. The performance results surpass those of …
Addressing Spectral Bias Of Deep Neural Networks By Multi-Grade Deep Learning,
2024
Old Dominion University
Addressing Spectral Bias Of Deep Neural Networks By Multi-Grade Deep Learning, Ronglong Fang, Yuesheng Xu
Mathematics & Statistics Faculty Publications
Deep neural networks (DNNs) have showcased their remarkable precision in approximating smooth functions. However, they suffer from the spectral bias, wherein DNNs typically exhibit a tendency to prioritize the learning of lower-frequency components of a function, struggling to effectively capture its high-frequency features. This paper is to address this issue. Notice that a function having only low frequency components may be well-represented by a shallow neural network (SNN), a network having only a few layers. By observing that composition of low frequency functions can effectively approximate a high-frequency function, we propose to learn a function containing high-frequency components by composing …
Table Of Contents,
2024
Utah State University
Table Of Contents, Beth Buyserie, Travis N. Thurston
Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions
No abstract provided.
32. Using Generative Ai In The Music History Classroom,
2024
Columbus State University
32. Using Generative Ai In The Music History Classroom, Reba Wissner
Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions
Generative Al affords students and college teaching both challenges and opportunities, though faculty mainly focus on the challenges, as most discussion centers on assignment modification to prevent plagiarism and concentrate on text-generating Al. However, there is an entire world of Al tools that are not text limited that can be used to create non-text-based outputs and can be used for information recall and transferability of student knowledge; these tools are well-suited to the arts. One discipline in which these tools can be used is music; specifically, music history. Al generation tools not specifically created for music, such as chatbots, can …
Part Vi: Section 6: Disciplinary Approaches,
2024
Utah State University
Part Vi: Section 6: Disciplinary Approaches, Beth Buyserie, Travis N. Thurston
Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions
No abstract provided.
