У нас вы можете посмотреть бесплатно 01132026 IDN Webinar Recording или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса ClipSaver.ru
FREE Subscription to FL-IDN Listserv for Educators The FL-IDN Listserv serves as a forum and working tool in support of the Instructional Designer Network. Subscribe to the listserv and receive newsletters and announcements on professional development, career opportunities, as well as rich resources shared by the IDN community members. Submit your free subscription with “.edu”, “district.k12.us" or “.org” email addresses at: https://bit.ly/3TLjYyD FL-IDN Professional Development Webinar Series Could An AI Agent Take My Online Class? Date: (Tuesday) January 13, 2026 Guest Speakers Anna Haney-Withrow, Florida SouthWestern State College Tim Mousel, Lone Star College Jillian Patch, Florida SouthWestern State College Description: A working group representing faculty, instructional design, IT, and administration set out to explore the potential of online courses to be disrupted by AI agents working on behalf of students. Rather than relying on theory alone, we engaged in active experimentation. Through working sessions and honest dialogue, we’ve surfaced practical, course-level strategies that may disrupt AI agents while enhancing the learning experience for students. This session invites others into the conversation, sharing design tactics and lessons learned from a collaborative inquiry into what it takes to keep humans at the center of online education. Learning Outcomes By the end of the session, participants will be able to: Describe how open, cross-role experimentation can surface practical insights into AI-related challenges in online learning. Identify and apply simple course design strategies that disrupt AI agents without burdening students. Engage in collaborative inquiry and iterative testing as a method for strengthening academic integrity and authentic learning.