EIT Presents: Teaching and Learning with AI
Welcome to EIT Presents: Teaching and Learning with AI, February 28, 2025. Please click on the presentation titles below to view the recordings.
Learn more about the presenters by viewing the conference program (PDF)
Welcome - 8:30 a.m. - 8:45 a.m.
Welcome remarks by Dr. Jeffrey Morgan
Session 1 – 9:00 a.m. - 9:30 a.m.
The Professor and the AI: Redefining Roles in Advanced Learning
Dr. Cristian Morosan & Tucker Johnson
GenAI has created a context where basic knowledge has become democratized. This session presents several GenAI strategies/tools that can be instrumental to students’ learning by creating an advanced learning environment. This environment divides learning into (1) basic concepts (now available through GenAI) and (2) deep knowledge, disseminated by professors.
Empowering Student Success: Using AI to Transform Personal Learning Experiences Through Caring
Ngozi Onwuama & Andrea Arias-Rodriguez
This presentation will equip faculty with strategies for designing inclusive, supportive, and personalized learning environments that foster student success. We will explore how AI-driven tools, including GPTs and apps, can enhance faculty's ability to implement caring strategies that address students' unique needs, promote mental well-being, and support their holistic development.
Experiential Research through AI to Enhance Learning Dance History
Dr. Maria Gabriela Estrada
Incorporating instructional technology and AI into dance history classes can improve students' life-long learning, demystify research, entice curiosity through inquiry-based learning, amplify multidisciplinary perspectives, foster best practices, and enhance discernment.
Session 2 – 9:40 a.m. - 10:10 a.m.
Teaching Students Conversation Design for Artificial Intelligence
Dr. Elizabeth (Liz) Rodwell
I will present my TIP course in progress, which creates an opportunity for students to train in conversation design and conversational user experience for AI. Using Voiceflow software and devices like Google Home and Alexa, students in this class are developing conversational interfaces, fostering interdisciplinary collaboration and exploring the ethical, social, and technical aspects of AI.
Leveraging GPTs to Improve Personalized Learning in Large Classrooms
Dr. MariVi Tejada-Simon
Addressing the challenge of scaling one-to-one tutoring in large classrooms, we have explored a solution using GPT technology. Using an AI-powered personal assistant designed to provide biochemistry support to first-year pharmacy students, we aimed to offer individualized guidance like traditional tutoring. We will delve into the development, deployment, and evaluation of the tool, sharing the impact on enhancing learning outcomes and accessibility.
Piloting On-Demand AI Tutoring Using ‘Tailored Tutor’ in Applied Thermodynamics
Dr. Jamison Kovach & Ahir Chatterjee
What level of student engagement in tutoring could be achieved if students could get help any time? This presentation will discuss a pilot test of an AI tutoring platform, Tailored Tutor, in an applied thermodynamics course. The results of this pilot test will demonstrate the merits of this technology.
Session 3 – 10:20 a.m. - 10:50 a.m.
AI-Enhanced Instructional Tools for Digital Marketing Analytics
Dr. Seshadri Tirunillai
We experimented using Artificial Intelligence (AI) tools for teaching marketing analytics at the graduate level. This addressed some of the key challenges in contemporary marketing education including high material costs, rapid obsolescence of technology and associated case studies, and the growing importance of AI literacy in the field. We develop and implement AI-enhanced instructional materials including simulated datasets and interactive case studies for hands-on exercises in marketing analytics. Our approach encompasses the creation of scenario-based simulations, AI-generated case materials, and interactive learning modules that allow students to engage with current marketing analytics practices. Through this presentation, I will share some of my experience. AI-enhanced curriculum not only makes complex analytical concepts more accessible to students but also provides them with valuable exposure to emerging technologies in the field.
Deflating the Hype: Normalizing AI Use in Higher Ed to Empower Teaching, Learning & Research Methods
Dr. Jacqueline Ekeoba
Artificial Intelligence (AI) is fast-growing in global society, creating a continuum of technophobia and technophilia. Practical examples of AI in education (AIED) will be discussed, including research assistance, data analyses, and individualized learning methods as well as recommendations for its normalized use in higher education.
AI-Powered Building Information Modeling as an Interactive Learning Platform
Dr. Kinam Kim
The project presents an innovative teaching method that harnesses artificial intelligence (AI) and Building Information Modeling (BIM) to enhance student's ability to identify design problems and evaluate the constructability of construction projects.
Keynote/Session 4 – 11:00 a.m. - 11:50 a.m.
Generative Artificial Intelligence and Higher Education
Professor Sid Dobrin
In the past 24 months, one of the most pressing conversations in the US (and, frankly, everywhere else in the world) has been about the emergence and implications of a technology called “generative artificial intelligence,” or “GenAI.” While this technology is not new, its widespread adoption and use have created a fervor and, in some cases, panic over its implications for the way we work, communicate, and live. It is no surprise, therefore, that nearly every college in the country is currently reimaging higher education in an effort to leverage the power of GenAI – and to preserve relevant aspects of traditional academic practices and values. From defining and integrating “AI literacies” across curricula to rethinking the fundamentals of what and how we teach, educators are confronting a host of thorny questions about the relationships between technology, knowledge, and human intelligence – all of which are emerging amidst rapid student adoption and use. This presentation will begin to demystify many of these emerging technologies and will address many of the concerns educators have expressed regarding AI and GenAI technologies in order to provoke conversations about the relationship between AI/GenAI and the traditions of higher education.
Lunch/Session 5 – 12:15 p.m. - 12:45 p.m.
Escape from the Doctor's Office: An AI-Focused Educational Escape Room in Healthcare
Dr. Susie Gronseth, Dr. Martha Lopez, Amani Itani, Kelly Davis, Sarah Stokes & Kathryn Seastrand
This interactive session introduces “Escape from the Doctor's Office: An AI-Focused Educational Escape Room in Healthcare,” a 30-minute educational escape room that fosters AI/ML literacy in healthcare. Participants will explore AI concepts and their implications for health equity, finishing with a discussion on applications and policy impacts.
Dr. Michael Kraten
As class rosters have grown, educators have explored emerging technologies to supplement the limited availability of human instructors. I am now developing a pair of virtual avatars; they are tutors who represent CPAs and who provide students with customized explanations, case examples, and practice questions about accounting topics.
Leveraging Generative AI to Evaluate Student Reflections and Improve Teaching Effectiveness
Rob Brownell
This presentation explores leveraging GPT to enhance student reflection analysis and streamline data preparation. It demonstrates using GPT for summarizing trends, identifying challenges, and improving teaching strategies. Additionally, it details how GPT-assisted scripting anonymizes and combines reflections for efficient analysis, showcasing its transformative role in education.
Session 6 – 1:10 p.m. - 1:40 p.m.
Use of AWS and Nvidia resources in teaching neural networks and machine learning
Dr. Heidar Malki
This proposal aims to incorporate advanced topics, real-world data projects, modern computational resources, and current software packages to meet industry demands. The Principal Investigator, qualified through AWS and Nvidia certifications, brings in-depth knowledge and resources that actively enhance student learning in AI and neural networks courses.
Leveraging Generative AI with Renewable Assignments
Dr. Emese Felvegi & Munema Termezy
We tried funneling student energy into researching best practices for using generative AI in their preferred field with the intent of students learning about generative AI in the process. Students had to create Canvas learning Modules about AI with their group and present their findings to our class' guests. The results were amusing to great, horrendous to excellent. Sometimes off topic, often "off key", always educational.
AI-powered Hospitality Business Analytics for Prediction and Decision Making
Dr. Minwoo Lee & Dr. Agnes DeFranco
This presentation provides the audience with comprehensive information and examples of developing flexible education modules for teaching AI-powered business analytics in the hospitality context. Students will learn AI and business analytics concepts and practices, identify opportunities and challenges, and select and apply AI analytic tools and concepts through innovative approaches.
Session 7 – 1:50 p.m. - 2:20 p.m.
AI as a Partner in Clinical Education: From Care Plans to Patient Simulations
Dr. Layci Harrison & Dr. Ashlyne Elliott
This presentation explores innovative uses of AI to enhance clinical reasoning in healthcare students. Through AI-assisted care plan activities and simulated patient scenarios, we demonstrate methods to build critical thinking, decision-making, and ethical awareness. Educators, clinicians, and developers will learn how AI supports responsible, evidence-based practice in healthcare training.
Scenarios in Ethical Approaches to Generative AI in Higher Education
Dr. Michael Ahlf & Dr. Sara McNeil
This interactive session explores ethical challenges of generative AI in higher education through scenario-based group discussions. Participants analyze real-world cases involving academic integrity, copyright, and pedagogical concerns. Through structured dialogue, attendees develop practical strategies for managing AI integration while identifying key themes and priorities for institutional policy development.
From Research to Action: Presenting Structured, Inclusive, and Reflective Learning Environments
Dr. Jaesub Lee & Dr. Youmei Liu
This presentation highlights an innovative approach to integrating AI technology, specifically ChatGPT, into classroom instruction to enhance student learning, critical thinking, and digital literacy. The session will focus on a detailed lesson plan that transitions students from understanding the basics of ChatGPT to applying it in real-world, action-oriented tasks, culminating in the creation of professional portfolios.
Session 8 – 2:30 p.m. - 3:00 p.m.
Adopting AI on a Shoestring Budget
Jatindera Singh Walia
Jatindera is the Director of Information Technology at UH, bringing over two decades of experience in designing and implementing cost-effective software and hardware solutions. He and his team are strategically integrating artificial intelligence to accelerate the delivery of innovative IT solutions.
Alexander Kelly
Struggling to begin writing, with ideas swirling but unorganized? AI aids in starting and structuring writing, streamlining our thoughts. As Blaise Pascal once said, 'I have only made this letter longer because I have not had the time to make it shorter.' AI helps make those long letters shorter.
Transforming Critical Visual Culture Education Through AI-Powered Hybrid Learning
Dr. Sheng Kuan Chung
This innovative redesign of ARED 2310 integrates AI-powered discussion forums, visual analysis tools, and creative media production to enhance student engagement and critical thinking. The hybrid format combines traditional visual culture studies with cutting-edge AI technology to create personalized, accessible learning experiences for diverse student populations, offering a scalable model for incorporating AI into humanities education.