Syllabus Savvy: Communicating AI Expectations promotional image

Syllabus Savvy: Communicating AI Expectations

Monday, August 17, 2026 12:00pm to 1:00pm
Virtual
Join this session to learn how to model clear instructions about AI use, ways to create AI disclosure statements, and suggestions for maintaining ongoing conversations about your AI policies throughout the semester. By setting expectations, promoting transparency, and encouraging open dialogue about AI use, you'll create an informed learning environment where students can leverage these tools responsibly and effectively.
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Catch Up With ICON

Monday, August 17, 2026 4:00pm to 5:00pm
Virtual
Come to this session to see how ICON has evolved over the year. We'll highlight the new gradebook coming to ICON, which includes features designed to improve the grading experience, especially in classes with large numbers of students and/or assignments.
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Gradescope Bubble Sheets

Tuesday, August 18, 2026 4:00pm to 5:00pm
Virtual
Discover the efficiency of assessment management with Gradescope's Bubble Sheets. Learn to effortlessly create assessments with multiple-choice answer keys for automatic grading of your students' submission. Simplify your assessment workflow with Gradescope's effectiveness and precision. 
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ICON Overview

Wednesday, August 19, 2026 8:30am to 9:30am
Virtual
ICON (Iowa Courses Online) is the Learning Management System at the University of Iowa, and is primarily powered by Canvas, but there is even more to know about ICON. Join this session for an introduction to ICON's basic user interface, how to manage your account settings, and learn about the tools available in an ICON course site.

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We facilitate or co-facilitate communities related to technology and teaching and learning data on campus. These groups provide opportunities to connect with others and learn how instructors are implementing these tools in their courses.

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We offer one-on-one and departmental trainings related to instructional technology, classroom technology, and teaching and learning data.