Teaching with Technology
March 13, 2026, 8:30 a.m. - 1:30 p.m.
Hannon Library, 3rd floor
Von der Ahe Family Suite
Join fellow faculty members for this half-day event about innovating pedagogy, co-sponsored by the Center for Faculty Development and Information Technology Services. This year's theme – Teaching in the Age of AI: Promise, Peril, and Practice – explores changes and challenges facing instructors, on The Bluff and beyond.
Register to Attend
Don't miss LMU's 17th Annual Teaching with Technology Symposium!
This dynamic half-day event, hosted by the Center for Faculty Development and Information Technology Services, is where LMU faculty share innovative ways they're using technology to enhance teaching, transform learning and empower students.
The one-track symposium formats gives everyone a chance to participate in each session and hear about all the innovative pedagogy and research of their peers.
Details:
📅 Date: Friday, March 13
⏰ Time: 8:30 am: Check-in, coffee, mingling, light refreshments
8:45 am: Opening remarks
9:00 am: Main program
1:00 pm: Lunch together
Scheduling conflicts? No problem. Drop in for sessions that suit your schedule. Rejoin at any time.
📍 Location: Hannon Library, 3rd floor, Von der Ahe Family Suite, Westchester Campus
Let's explore, inspire, and innovate together!
Featured Speakers
Justin Trevor Winters
This year's keynote address is by Justin Trevor Winters. He is a full-time faculty member in the School of Film and Television, where he directs The Innovators Film Festival and serves on the university's GenAI Task Force, contributing to campus-wide strategy around AI and creative technology. His keynote address is about AI in the Classroom: Moving from Experimentation to Strategy.
Mairead Sullivan and Colin Doyle
The Teaching with Technology program will feature an address from the AI Task Force. Committee representatives, Mairead Sullivan and Colin Doyle, discuss the work that the group has done concerning this transformational innovation and its impact on LMU.
Mairead Sullivan, Professor of Women's and Gender Studies, Director of the Core Curriculum, and Principle Investigator for Habitable Worlds: A Disability, Ethics, and AI Think Tank, LMU's first institutional grant funded by the Mellon Foundation.
Colin Doyle, Associate Professor of Law, studies law and emerging technology, and directs the Law and AI Lab.
Schedule for TwT 2026
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Start |
Format | Topic | Presenter(s) |
|---|---|---|---|
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8:30 |
Meet & greet, arrival, check-in, light breakfast |
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8:45 |
Opening Remarks |
Introductions, Welcome, and Program Rundown |
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9:00 |
Keynote, Q&A |
AI in the Classroom: Moving from Experimentation to Strategy |
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9:40 |
Faculty Panel |
Creative Approaches to Managing AI in Teaching and Learning |
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10:00 |
Faculty Lightning Talks, Round 1 |
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10:45 |
15 minute break to connect with others |
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11:00 |
Presentation |
AI Task Force |
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11:15 |
Faculty Lightning Talks, Round 2 |
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12:00 |
Panel |
AI-powered Tutoring |
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12:20 |
Begin Lunch |
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12:35 |
Faculty Lightning Talks, Round 3 |
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1:20 |
Closing Remarks
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Acknowledgments and announcements
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1:25 |
Keep enjoying your food. Chat, connect, learn from one another. |
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Lightning Talk Presentation Descriptions
- Round 1
- Round 2
- Round 3
-
10:00 am to 10:45 am
1. Critically Engaging with Generative AI
Colin Doyle (Loyola Law School) shares his experience bringing principles of experimental design and red-teaming into the law school classroom. Through exercises in testing and challenging AI systems, law students develop the habits of mind needed to resist confirmation bias and rigorously evaluate AI-generated outputs.2. Designing AI-Resilient Learning: Teaching Process, Judgment, and Creative Intent
Charles Howard (School of Film and Television) examines how generative AI challenges traditional, product-centered assessment and offers a framework for rethinking how student work can be evaluated. Drawing on examples from film, media, and writing courses, it shares adaptable assignment models that position AI as a collaborative tool while preserving student authorship and voice.3. AI-Generated Tools for Academic Research
Susan Archambault (William H. Hannon Library) presents the library's AI Research Tools LibGuide, which outlines key features, benefits, drawbacks, and potential applications of AI-powered research tools. The session introduces a decision framework for choosing appropriate tools for different research tasks and the TAAP ethical guidelines for applying AI responsibly in academic research.4. Teaching with Images and Figures in the Age of AI: AI for Accessibility and Attribution
Karna Younger (William H. Hannon Library) offers practical guidance on using generative AI to support everyday instructional work with images and figures. Participants will see examples of how AI can assist with finding openly licensed images, improving accessibility through effective alt text and extended descriptions, and supporting ethical, transparent use through human review and revision. The session provides reusable prompts and take-away tools faculty can apply immediately to their own teaching materials. 11:15 am to 12:00 pm
5. Student Projects Produced with AI
Gladys Mac (Asian and Asian American Studies) showcases student projects created by AI. The presentation demonstrates how students learned to use AI as a tool to overcome artistic hurdles to express their ideas regarding themes of social inequality and fandom in East Asian popular culture.6. Determining if AI Helps or Hinders Students in Developing Skills and Capacities
Jeffrey Wilson (Philosophy) shares insights from his First Year Seminar, Liberal Education in the Age of Enlightenment, in which he prompts new students to reflect on what they want from their college education and what skills and capacities they want to develop here. In Fall 2025, knowing that they arrive faced with the decision of whether to use AI in their learning, he also asked them what uses of AI might hinder them from acquiring those skills and capacities, or promote? The course received mixed reviews from the students. This talk informs others' pedagogical reflections on options for positioning students in relation to technologies of learning.7. The Pleasure of Making Things from Scratch in the Age of AI
Natalie Ngai (College of Communication and Fine Arts) showcases student-created AI avatar and voiceover assignments, highlighting moments of discomfort and resistance that emerged in students’ reflections. Dr. Ngai will also share her semi-private notebook (www.writedangerously.com), an initiative to build her own social media for students and friends.8. Human-Centered AI for Interactive Learning: AI-Assisted H5P Creation in the LMS
Dr. Theresa Huff (William H. Hannon Library) demonstrates how faculty can use H5P's AI-assisted Smart Import in D2L Brightspace (Creator+) to quickly draft interactive activities directly in the LMS. The lightning demo emphasizes principled adaptation: AI provides a starting point, while instructors revise, contextualize, and align content with learning goals and learner needs. Participants will leave with a curated H5P Look Book and a clear workflow for creating engaging, human-centered interactions efficiently.12:35 pm to 1:20 pm
9. PostCommit: GenAI-Mediated Double-Tap Assessment of Student-Submitted Artifacts
Andrew Forney (Computer Science) demos a web-application (PostCommit) developed in his lab that harnesses Generative Artificial Intelligence (GenAI) to create personalized quiz questions based on a student's text-based assignment submissions. The app features a student interface to take these quizzes in a proctored setting, ensuring understanding and authorship of their work. The presentation also shares pilot data from a Fall 2025 deployment in 6 CMSI courses, highlighting disparity between students' assignment and quiz scores.10. Stochastic Bubblegum: Teach with a Pin
Greg Leo (Economics) briefly deconstructs the inner workings of large language models (LLMs) to reveal why they often produce content that is palatably sweet yet nutritionally vacant, fostering dependence and creating cognitive debt. He concludes by describing how he "teaches with a pin", leveraging LLM failures as pedagogical tools to pop the bubble and encourage students to think carefully about what they consume.11. Human-Centered AI Filmmaking: Story, Empathy, and Visual Craft
Beth Dewey (School of Film and Television) demonstrates how emerging AI filmmaking tools can radically accelerate previsualization and production workflows while still depending on strong storytelling, visual clarity, and emotionally compelling characters. Drawing from classroom practice and hybrid film projects, the session explores how empathy in AI-generated characters is built through performance, direction, and narrative intention rather than technology alone.12. Process Before Prompt: Embracing Technology in Creative Disciplines
Mischa Livingstone (School of Film and Television) showcases his newly developed "No Nonsense Filmmaking" OER (Open Educational Resource) to demonstrates how creative fields can strategically embrace technology while honoring the human processes that define their disciplines. This session champions the idea that some learning processes are worth protecting not because technology threatens them, but because cultivating original thinking is itself the goal.