University of Central Florida
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Turning Academic Dishonesty into Learning Moments: Adapting Integrity Policies for Generative AI
Get PDFPreviously, plagiarism cases required proof of source text, but suspected AI use leaves no such evidence. Our college now encourages non-accusatory feedback about suspected AI writing, with rewriting options to avoid formal charges. Drawing on pre-AI plagiarism research, this approach helps students see writing as a tool for learning, fostering intrinsic motivation to avoid improper chatbot use. Takeaways include sample questions for starting conversations with students, and examples of faculty explanations of how writing supports learning. Participants will share their institutional challenges and explore ways to foster authentic student engagement with writing
Murder on the Hybrid Express: Solving the Case of the Dull Classroom
No full textIn this immersive, murder mystery-themed workshop, participants become characters aboard the Hybrid Express, tasked with solving the murder of dull hybrid learning environments. Participants will investigate clues (AI tools and strategies), collaborate to uncover the culprit (boring, disengaging practices), and identify ways to restructure their classrooms with engaging, AI-powered lessons, assignments, and activities
Enhancing AI Resilience: A Practical Tool for Faculty
Get PDFFaculty and instructional designers are seeking practical ways to assess and improve the quality of courses in the face of perceived shortcomings of traditional teaching methods given today\u27 s widespread use of generative AI. This interactive session will introduce the Course AI Resiliency Tracker (CART) tool developed by Oregon State University Ecampus. This free tool is designed to help instructors and instructional designers evaluate and enhance the resiliency of their courses in the context of generative artificial intelligence tools. Attendees will have the opportunity to try out the tool on their own devices, then share findings and discuss implications
Concept Mapping in the AI Era: Designing Assignments with AI that Transform Student Learning - A Student and Faculty Perspective
No full textExplore how to design effective concept mapping assignments that promote deep learning while using AI as a teaching assistant. Based on Novak\u27s theory of meaningful learning through concept mapping, this session demonstrates how to leverage AI for assignment design while ensuring students engage in authentic cognitive work. A former student shares their transformative journey with concept mapping, highlighting how it enhanced their learning in ways AI cannot replicate. Learn to create assignments that build critical thinking while resisting AI replicatio
Coach Mode: Advancing AI Readiness One Prompt at a Time
Get PDFMany educators and students struggle with prompt paralysis – not knowing when and how to use AI effectively. Join as we explore BoodleBox\u27s innovative solution – Coach Mode – built to transcend traditional AI learning approaches by focusing on a comprehensive AI Readiness Framework that balances Domain Expertise, AI Enablements, and Human Excellence. Unlike traditional approaches focused on memorization, Coach Mode delivers contextual guidance at the moment of need, helping users understand the why behind effective AI interactions. This presentation demonstrates how this learning-about-AI-with-AI approach accelerates adoption across all technical levels, supporting progressive skill development while enhancing critical thinking. We will explore applications in higher education include course development, student support, and administrative efficiency. Attendees will gain actionable strategies for meaningful AI integration that enhances teaching, learning, and institutional effectiveness
Developing a Self-Paced Course to Bridge U-M\u27 s GenAI Faculty Development Gap
No full textAs a leader in GenAI innovation, the University of Michigan (U-M) presents Teaching with GenAI, an asynchronous, self-paced course crafted to fill a vital gap in AI faculty development while highlighting U-M\u27s custom AI services. This eight-module course equips educators to ethically and effectively integrate AI tools into their teaching, enhancing student engagement and fostering critical thinking. Join us to explore valuable lessons learned during the course development process. We will also discuss how this course fits into a larger ecosystem of GenAI faculty support, including a Generative AI learning community and a mini workshop series
An Introduction to the Complicated Relationship Between AI and Copyright
Get PDFHave you ever questioned the legality of generative AI using copyrighted works to create new content? Perhaps you\u27ve debated in defense of artists, but do you truly understand the copyrights that safeguard creators in the United States? In An Introduction to the Complicated Relationship Between AI and Copyright, you\u27ll uncover the essentials of copyright law, explore the nuances of Fair Use, and gain insight into how these legal protections - and their gray areas - impact content creators in today\u27s fast-paced, tech-driven world. Don\u27t miss out on understanding this crucial intersection of law and innovation
The bridge between AI and CTE
No full textAs AI continues to shape industries, it is crucial for educational programs to equip students with relevant skills and knowledge. This session will explore the transformative potential of integrating Artificial Intelligence (AI) assignments in live and asynchronous learning environments within various Career and Technical Education (CTE) curricula, specifically focusing on Business/Economics, Automotive, Cosmetology, and Medical Assisting/Office Administration. Join us as we delve into the exciting intersection of AI and CTE education, equipping the next generation with the skills they need to thrive in a rapidly evolving workforce
Enhancing Student Success with AI-Guided Experiential Learning
Get PDFEnhancing Student Success with Artificial Intelligence (AI)-Guided Experiential Learnin
From Stress to Success! AI Solutions for Managing Cognitive Load in Students
Get PDFStudent learning is often hindered by cognitive overload, where the demand on working memory exceeds its capacity. This overload limits encoding of information for retention in long term memory. This session will explore the transformative potential of AI as a teaching partner to manage cognitive overload. The strategy uses guided AI prompts embedded in instruction to scaffold information. These adaptive prompts allow students to focus on core concepts, fostering development of schemas for long term memory storage. This synergy between human expertise and AI can simplify learning, improve engagement and reduce the stress of cognitive overload