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AEM Quality Indicators for K-12, Part 4: Collecting and Using Data to Monitor and Evaluate System Effectiveness

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webinar

Date
Tuesday, March 26, 2019

Time
3:00PM – 4:00PM ET

Quality Indicators 5 and 6 icon.

Description

Join a discussion with AEM leaders from Florida and Indiana about strategies for collecting and using data on student use of accessible educational materials (AEM). What information is most relevant? How are data collected and tracked? How do you know if AEM is being used effectively? To get the most out of the webinar, please review AEM Quality Indicator 5 and Quality Indicator 6 ahead of time. And because the process of providing AEM requires collaboration, gather your colleagues to watch the webinar together!

Unable to attend the webinar?  No worries!  The link to the recording becomes available on this same page approximately one week after the webinar.

Presenters

Cynthia Curry, Director, AEM Center; Daniel McNulty, State Director, PATINS Project, Indiana; Kay Ratzlaff, Supervisor, Florida Instructional Materials Center for the Visually Impaired

Audience

K-12, Families

webinar slides

digital handout

webinar recording

Missed a previous webinar in the series?  Visit the Webinar Event pages to link to the recordings!
Part 1: Meeting Timely Manner through a Coordinated System
Part 2: Developing and Implementing Written Guidelines
Part 3: Delivering Professional Learning Opportunities and Technical Assistance

Joining an AEM Center Webinar

The AEM Center uses Zoom for its webinars. If this is your first time attending one of our webinars, we recommend that you review Zoom's information for joining a webinar.

Zoom Accessibility Features

The AEM Center’s web conferencing system provides access for participants with physical disabilities, blindness, and low vision through a range of  Zoom keyboard shortcuts.  Participants can also view closed captioning during a webinar.  

Accessible Educational Materials (AEM)

Print- and technology-based educational materials designed to be usable across the widest range of individual variability.

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