This annual event showcases ways that technology can be used to enhance teaching, learning, and research. The intent is give faculty and staff the opportunity to share how they are using technology in unique ways, network with other colleagues, and generate new project ideas. More information and event details can be found on the TLT Symposium Website.
Thank you our Blue Sponsor, Top Hat. Your support for the TLT Symposium is appreciated.
Donate to the Lion’s Pantry! This year the TLT Symposium is again providing an opportunity for attendees to support the UN Sustainable Development Goal, Zero Hunger by donating items to the Lion’s Pantry. Items can be dropped off throughout the day at the Symposium.
This hands-on workshop explores how AI can enhance creativity, teaching, and research while addressing its ethical challenges. Participants will create AI-powered projects using tools like Claude, ChatGPT, and Canvas, exploring image, video, and music generation. Examples from the Creating and Learning with AI course will highlight real-world applications, and discussions will examine AI’s costs and benefits. Leave with practical skills, fresh ideas, and a balanced understanding of AI’s potential and challenges.
Transform your approach to AI integration in education with our innovative Ai Toolkit. This session introduces a visual framework that clearly guides AI use in coursework, addressing students’ uncertainty about appropriate AI implementation. Learn how our Elevating Bloom's Taxonomy framework elevates learning outcomes while maintaining academic rigor. Discover our proven faculty adoption process, developed through successful implementation in our pilot program. Join our interactive session to gain practical tools, implementation strategies, and access to our collaborative working group shaping the future of AI-enhanced education.
We present an on-going study that examines undergraduate students’ use of generative AI (Gen AI) for schoolwork, focusing on the educational and ethical challenges they face. While Gen AI is acceptable or encouraged for some assignments, it can be inappropriate or harmful for others. This ambiguity can result in misuse, leading to academic violations and impacting their learning. Through interviews with students from various years and disciplines, we explore their experiences with Gen AI, including navigating course policies, understanding instructor expectations, and addressing ethical dilemmas.
