Session Abstracts

Join us for Dr. Michelle Singh's keynote address.

Session Lead: 
Dr. Cindy Royal, session lead, Regents’ Teacher and Professor in the School of Journalism and Mass Communication.

Abstract: 
Media education continues to respond to the digital media environment, which now includes artificial intelligence applications. While many lament the possibilities for AI to replace professionals and educators, AI can inspire curriculum innovation. Panelists will discuss ways they have integrated AI in courses and how to best prepare students for AI-influenced careers.

Session Participants: 
Mr. Jon Zmikly, Regents’ Teacher and Professor of Instruction in the School of Journalism and Mass Communication.
Ms. Sara Shields, Assistant Professor of Instruction in the School of Journalism and Mass Communication.
Ms. Ashley Hebler, Engineering Manager at FloSports and 2012 Master's Graduate of the Digital Media program in the School of Journalism and Mass Communication

Session Lead: 
Dr. Ashley Dockens

Abstract: 
This session explores the evolving nature of academic integrity in an AI-enabled educational environment. By focusing on the intersection of traditional academic values and technological innovation, educators will discover new frameworks for understanding and maintaining academic honesty. Participants will learn to establish clear guidelines for AI use, develop adaptive assessment strategies, and create policies that promote responsible technology integration. This comprehensive approach demonstrates how institutions can preserve academic integrity while preparing students for an AI-integrated future.

Session Lead: 
April Miles

Abstract:  
This presentation provides educators and leaders with advanced ChatGPT strategies that go beyond basic functionality, empowering them to elevate teaching, learning, and leadership practices. By leveraging AI to perform deeper analysis, challenge assumptions, refine work step by step, and adapt messaging to diverse audiences, attendees will gain practical tools to foster inclusivity and innovation. Through data-driven equity strategies and tailored lesson adaptations, participants will learn how to use AI to create equitable, engaging, and accessible learning environments. Attendees will leave with actionable insights and confidence in their ability to integrate ChatGPT into their practices, transforming education to prioritize inclusivity and meaningful connections. 

Session Lead:
Dr. Shibbir Ahmed

Session Abstract:
This presentation provides educators and leaders with advanced ChatGPT strategies that go beyond basic functionality, empowering them to elevate teaching, learning, and leadership practices. By leveraging AI to perform deeper analysis, challenge assumptions, refine work step by step, and adapt messaging to diverse audiences, attendees will gain practical tools to foster inclusivity and innovation. Through data-driven equity strategies and tailored lesson adaptations, participants will learn how to use AI to create equitable, engaging, and accessible learning environments. Attendees will leave with actionable insights and confidence in their ability to integrate ChatGPT into their practices, transforming education to prioritize inclusivity and meaningful connections. 

Session Lead:
Ludmila Krylova

Abstract:
In Fall 2024, two accounting professors, Dr. Nate Cannon and Ludmila Krylova, developed AI-powered chatbots to personalize and enhance learning in their courses—ACC 4313 Auditing (upper level) and ACC 2361 Intro to Financial Accounting (lower level, mandatory for all business majors). This presentation will showcase the backend development of these customized Tutor bots, powered by ChatGPT, and provide guidance for faculty in other disciplines to create similar tools. Discover the benefits, limitations, and real student feedback in this dynamic and inspiring session highlighting practical application of AI in education!

Session Participants:
Dr. Nate Cannon

Session Lead:
Dr. Nadim Adi

Abstract:
This presentation provides educators and leaders with advanced ChatGPT strategies that go beyond basic functionality, empowering them to elevate teaching, learning, and leadership practices. By leveraging AI to perform deeper analysis, challenge assumptions, refine work step by step, and adapt messaging to diverse audiences, attendees will gain practical tools to foster inclusivity and innovation. Through data-driven equity strategies and tailored lesson adaptations, participants will learn how to use AI to create equitable, engaging, and accessible learning environments. Attendees will leave with actionable insights and confidence in their ability to integrate ChatGPT into their practices, transforming education to prioritize inclusivity and meaningful connections. 

Session Lead:
Dr. Ted Lehr, Associate Professor of Practice and Director, Undergraduate Recruitment in the Computer Science Dept

Abstract:
Many students are using AI for their studies.  Some professors consider it cheating.   Others explore and encourage its use.  This panel's members will discuss how they or their organizations are exploring what it means to use AI with integrity while using it for problem solving, imagination and business success. 

Session Lead:
Dr. Hamilton Hardison

Abstract:
Teaching is (and should be) complicated. Presently, there is much focus is on how AI can expediently recapitulate the status quo and too little focus on how AI can support teaching differently. Using GenAI like Firefly and Claude, I present imagistic exemplars (along with explanations for how and why I created them) for my mathematics courses; we will also consider possibilities for other disciplines. Additionally, I share some data regarding my students’ uptake of GenAI. Space will be provided for participants to vocalize their comments, questions, experiences, and anticipations for using AI in pedagogically transformative ways. 

Session Lead:
Dr. Paige Haber-Curran

Abstract:
In this roundtable discussion, attendees will discuss strategies and ideas for helping and supporting students as they learn about and navigate generative AI tools. In small groups attendees will share ideas to help students be able to be savvy – yet critical -  users and consumers of AI as a way to help them learn about AI tools and enhance their effectiveness while not compromising their minds and voice. Topics to be explored include: syllabus statements, guiding policies, demonstrations, assignments, and coaching students. The presenter/facilitator will share insights and strategies she uses as she helps students navigate and use AI tools.   

Session Lead:
Elektra Jordan

Abstract:
This presentation explores successes, concerns, and ramifcations of assigning experienced-based philosophical writing assignments as a response to AI-generated writing. As a new faculty member teaching online asynchronous classes, spotting my frst instance of AI-generated work was upsetting. My training as a GIA at TXST promoted assigning subjective essays rather than those reliant on empirical data in order to combat AI-generated writing. Trying to control AI-generated submissions has shifted the sort of writing my students are expected to produce, which will alter the writing skills they develop and, ultimately, may impact the discipline regarding how philosophical writing is produced and styled.

Session Lead:
Dr. Moira Di Mauro-Jackson

Abstract:
"Harnessing the Future: AI in Education and Learning" explores the transformative role of generative AI in higher education. As technology rapidly evolves, educators must adapt to its potential for personalized learning, content creation, and real-time feedback. This session will delve into practical applications of AI tools in the classroom, the ethical considerations surrounding AI use, and strategies for integrating AI into curricula. Attendees will gain insights into fostering an environment where both students and instructors can thrive amid this technological shift, while ensuring that academic integrity and critical thinking remain central to the learning process.

Session Lead:
Ryan Faxigue

Abstract:
This panel explores how students use AI in coursework, their expectations for AI integration in teaching, and the AI-related skills they wish they had learned. Panelists will share insights on how classroom AI experiences have shaped their readiness for internships and careers.

Session Lead:
Dr. Sonya Armstrong

Abstract:
This session will explore current research on the integration of Generative AI in postsecondary reading and writing instruction. We will focus on studies that explore how AI tools are being utilized to support and enhance text-based teaching and learning.  

Session Lead:
Dr. Moira Di Mauro-Jackson

Co-presenters:
Dr. Alberto Giordano
Sergio Carvajal-Leoni

Abstract:
The rise of AI, especially Large Language Models (LLMs), is reshaping higher education by enabling seamless interaction with complex systems using everyday language. This workshop focuses on pedagogy, research, and individualized learning, exploring practical applications of AI through intentional and critical engagement. Facilitators from various academic disciplines will demonstrate how AI can enhance, rather than replace, human potential. Emphasizing education as co-creation, the session challenges the perception of AI as a threat, proposing its ethical use to unlock new opportunities for learning and discovery. Participants will gain insights into navigating AI's potential and ethical considerations in educational settings. 

Session Lead:
Kamarie Carter

Abstract:
In this brave new world of AI, how can faculty create assessments that inspire genuine, meaningful student engagement and learning? We start by looking at the issue through a new lens. Rather than continuing to game the system by trying to “AI-proof” assessments, we can re-envision assessment design by considering what motivates students to learn. In this session, we will share ideas for designing process-based assessments using Bowen and Watson's (2024) wise words on what motivates us all: "I care, I can, I matter."  

Session Lead:
Dr Kristen Leah Sussman

Abstract:
As a pedagogical testbed, I introduced Julius.AI, an AI-powered data analyst. Undergraduate students studying advertising were instructed to carry out three computational tasks involving advanced data science techniques. The first task required students to use AI-assisted natural language processing to identify sentiment and topics in a dataset of 39,732 tweets mentioning camping. Next, they analyzed audience demographics, interests, and geographic distribution to uncover psychographic insights. Finally, they compared and contrasted timelines, sentiments, and topics to develop a data-driven advertising strategy. This session aims to assess student’s ability to adopt these tools while identifying concerns related to the use of AI. 

Session Lead:
Dr. Sid Anderson

Abstract:
This historical perspective on technological advancement in education provides crucial context for understanding AI’s role. By recognizing that AI follows the same pattern as previous technological leaps—raising standards rather than lowering them—we can design more effective educational strategies that prepare students for an increasingly sophisticated professional landscape. Through this session, attendees will gain insights into designing curricula that embraces AI while maintaining rigorous academic standards, supported by historical evidence of how technological advancement consistently elevates rather than diminishes educational expectations.

Join us for Mary Strain's keynote address

Session Lead:
Dr. Barbara Hewitt, Department of Health Informatics and Information Management

Abstract:
This panel explores AI usage within College of Healthcare Professions. Presenters will share 1) AI modules developed for course integration, 2) AI's role in diagnosing and treating communication disorders, emphasizing critical thinking, ethics, case studies, and real-world applications, and 3) responsible AI use, covering plagiarism, copyright, legal aspects through practical student engagement examples.

Session Particpants:
Dr. Elise Lambert, Department of Health Informatics and Information Management
Dr. Renee Wendell, Department of Communication Disorders

Session Lead:
Dr. Casey Landers

Abstract:
Educators must wade through an ever-growing list of approaches to the issue of students using AI, like Chat GPT, to complete coursework. I developed the CUPID Model to simplify the discussion by sorting pedagogical approaches into five basic categories: Catch, Utilize, Prevent, Ignore, and Disincentivize. We will consider different assignments in each approach, tips for recognizing AI-generated writing, and data on student motivations for outsourcing work. Ultimately, I suggest an overall combinatorial approach that implements aspects from different approaches, which I incorporate in my own courses.

Session Lead:
Dr. Jennifer Stob

Abstract:
To foster authentic humanities writing in an AI era, instructors must foster the belief that writing is not mere task completion but an investment in self and world. Drawing on classroom experiences, my presentation offers a clear-eyed perspective on what drives students’ overreliance on AI. I propose reverse-engineering assignments to emphasize writing's enduring value with and without AI assistance. My core beliefs: our voice is present in everything, writing consumes our time but it also liberates, failing at writing is winning at thinking better later, and there is always an audience for what we’ve written, without mastery and without monetization.  

Session Lead:
Jeff Davis

Abstract:
This proposal outlines a teaching model that integrates AI tools such as MidJourney, Adobe Fire Fly, DALL-E2, and Microsoft Copilot Designer to explore conceptual strategies in advertising campaigns, print advertisements, slogans/headlines, and generative conceptual imagery. The teaching model involves research and project outcomes where students use AI tools to develop and refine their concepts, with outcomes assessed through faculty and peer feedback. The approach emphasizes responsible AI practices, including data privacy and ethical considerations, and represents a significant development in pedagogical approaches by providing students with opportunities to explore and experiment with advanced technology. 

Session Lead:
Dr. Zachary Kelley, Associate Professor of Instruction, Department of Information Systems and Analytics

Abstract:
This lecture explores how AI can enhance student learning across fields, emphasizing real-time and deeper feedback. Drawing from the speaker's extensive experience in both industry and government, the session focuses on fostering continuous improvement rather than the traditional deadline-driven approach, enabling students to advance at an accelerated pace.

Session Lead:
Claudia Roeschmann

Session co-Presenters:
Dr. Peter Tschirhart
Dr. Ron Haas
 

Abstract:
Richard Brautigan’s 1967 poem "All Watched Over By Machines Of Loving Grace" imagined a semi-utopian future where animals, plants, and humans live in ecological harmony with benevolent machines that fit into the world “as if they were flowers / with spinning blossoms.” While it is unclear whether Brautigan’s vision is intended as aspiration or critique, we have reached a moment where reflection, experimentation, and direct confrontation with these technologies is required. With the arrival of generative AI, the line between human and non-human creativity is less clear than ever—as is its potential impact on the future of higher education.

Session Lead:
Dr. Anica Lee

Abstract:
Discover how to revolutionize your teaching workflow with AI-powered tools! In this interactive workshop, you’ll learn how to use ChatGPT to generate lesson plans and assignments effectively, Google Illuminate to enhance student engagement through interactive learning, and Visla to create dynamic video content tailored to your classes. Whether you’re looking to save time, spark creativity, or better connect with your students, this session will provide practical strategies and hands-on demonstrations. Walk away with actionable insights and tips for integrating these tools seamlessly into your teaching practice, empowering you to deliver impactful and innovative content for your students. 

Session Lead:
Terrance Wedin

Abstract:
Get in the Gym: AI as a Writing Tool, Not a Shortcut compares the role of AI in college writing classes to phases in a workout routine. AI can assist with the "warm-up" by helping students brainstorm and develop ideas, as well as the "cooldown" through editing and revision. However, it should not perform the “workout” of writing and critical thinking for them. This presentation explores strategies for incorporating AI as a tool to support, not replace, student effort. Attendees will gain insights into fostering writing growth, maintaining academic integrity, and ensuring AI use aligns with the goals of college writing instruction. 

Session Lead:
Dr. Kelly Kaufhold

Abstract:
Four faculty members in the School of Journalism and Mass Communication (SJMC) teamed up to both teach and research six artificial intelligence (AI) tools in the context of courses in our Electronic Media program focused on television news, production, sports and film. The faculty members tested multiple tools and settled on six to showcase to students: three for writing and three for video production.

Rough Cut Preview and Discussion

This interactive session showcases our in-progress video modules on AI in higher education. Participants will experience one complete module with discussion prompts and exercises, plus select interview clips and production insights. Our workshop approach promotes critical thinking about AI technologies, encouraging intentional adoption in educational settings while maintaining academic integrity.

Sergio Carvajal-Leoni  
Adjunct Faculty - School of Journalism & Mass Communications

Doctoral Student - Adult, Professional and Community Education.

Texas State University

https://www.masscomm.txst.edu/

https://apce.education.txst.edu/

Session Lead:
Joshua Duttweiler

Abstract:
In this presentation I will discuss a recent project from my communication design class focused on assessing AI’s ability to produce accurate user instructions to complete various tasks. Using a 2-color printing system (risograph) each student used color and layout design to visually compare content produced by first-hand knowledge to AI generated instructions, critically examining their “human” knowledge to that of AI in a single print publication. The objective of this assignment is to assess the technologies limitations while simultaneously training students in necessary AI generation technologies workflows and tools.  

Session Lead:
Casey Ford

Abstract:
Teachers of composition and writing intensive courses can integrate AI tools to grade student writing more efficiently and expand their students’ writing support toolboxes, but they must also teach the nuanced differences in machine and human feedback. They may also need to consider a redesign of their assignments and courses according to how they want students to use AI. LLMs have improved student writing outcomes and feedback literacy; however, students must not over trust LLMs, and they should prioritize human feedback, such as from writing instructors or writing center tutors, when the stakes are higher and they need unambiguous feedback that is personalized and task-specific.

Session Lead:
Benjamin Mitchell-Yellin

Abstract:
The pace at which AI tools are being made available to complete mundane tasks with greater efficiency does not seem to be abating anytime soon. We all—faculty, staff, and students—need to think about how and when to incorporate these tools into our lives. This presentation aims to equip attendees with a framework for thinking through the complex issue of when AI use is worthwhile. This framework takes the form of four questions that can be used both in reflecting on one’s own behavior and in prompting one’s students to think critically about their own. This session is loosely based on the presenter’s TEDx talk: “AI and the Good Life.” 

Session Lead:
Dr. David E Angelow, Assoc Professor of Instruction — Dept of Information Systems & Analytics

Abstract:
Businesses are integrating AI to drive efficiency and innovation, but successful adoption requires a strategic approach. This session explores how companies develop strategic implementation roadmaps and use the "Land and Expand "concepts to pilot AI before scaling organization wide. We'll also consider key risks—ethical, financial, and operational organizations face as they adopt AI and how to prepare students for AI-driven workplaces.

Session Participants:
Scott Conner (GA) - Dept of Information Systems & Analytics

Session Lead:
Dr. David Levy

Abstract:
Artificial intelligence poses one of the most significant changes for the legal profession since the advent of the personal computer. Chief Justice Roberts devoted his 2023 Year-End Report on the Federal Judiciary to what he terms “the latest technological frontier: artificial intelligence”, and its “great potential to increase access to key information for lawyers and non-lawyers alike.” He further notes that “[l]egal research may soon be unimaginable without it.”