Description: Discuss how AI can streamline course prep, generate teaching ideas, and reduce workload, giving you more time to focus on the important things. Learn how your instructional designers (IDs) can then assist you with teaching practices that dissuade AI academic dishonesty.
12:30 pm – 1:30 pm PDT (America/Los Angeles -07:00)
Location: Web Conferencing and In-Person
Instructor: Jen Elbek
Discover how to harness genAI tools to transform writing instruction and assessment in higher education. This interactive workshop explores practical strategies and ethical considerations for using AI to enhance student learning and writing, featuring OER resources designed to empower both educators and students. It is designed for instructors who give writing assessments of any kind. Come prepared to work on an assignment prompt that integrates AI in practical, productive, and ethical ways.
U of I AI Project Demo: NSF Contract Review
Thursday, October 31, 2024
12:30-1:30 p.m. PT
Buchanan Engineering Lab 205
Transparency in the use of AI tools in academia is a necessary and ongoing debate. This session will share ideas on suggested formats and strategies for citation and attribution of AI use. Additionally, we will discuss current guidance on the use of AI detectors, their strengths and weaknesses, and the potential impacts on faculty-student relationships.
Artificial Intelligence is increasingly used by authors, artists, and creators to assist in the creation of new works. Those same AI systems have been built on the copyrighted work of authors, artists, and creators who never gave permission for their works to be used for this purpose. What are the ethical and legal considerations and consequences of this quickly changing technology? What does this mean for you as a student, scholar, and creator? This session will give an overview of the current technological and legal landscape and provide some questions for you to consider as a user of AI.
AI ThinkSpace: A Safe Place for Resources on AI. – Navigate AI resources in education with confidence and support.
Location: Web and In-Person
Statewide Generative AI Drop-In Sessions