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REL Central Event: Predict and Prepare: Taking Action to Address the Teacher Supply Chain
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April 15, 2021

Time: 1:30 p.m. to 2:30 p.m. MT

Location: Virtual

Registration Link: https://marzanoresearch.zoom.us/webinar/register/WN_w-7O89YDSP2kQ9LOUnfSVg

Description: We invite you to join us for a REL Central webinar about the Teacher Predictor Model, a tool to examine and predict patterns of teacher shortages in Missouri. Presenters will describe the development and use of the model by state leaders, describe how the model might be adapted in other states, and share strategies for addressing predicted shortages at the state, district, and educator preparation program levels.

Partnership or Research Alliance: Educator Pipeline Research Alliance

Audience: The primary audience for this webinar is state and local education agency personnel, particularly those dealing with teacher supply concerns; educator preparation program staff; and individuals involved with teacher career programming, including Grow Your Own programs.

Speakers:

Presenters:

  • David Yanoski, REL Central
  • Joshua Stewart, REL Central
  • Paul Katnik, Missouri Department of Elementary and Secondary Education
  • Beth Kania-Gosche, Missouri University of Science and Technology

Report Citation: Reichardt, R., Klute, M., Stewart, J., & Meyer, S. (2020). An approach to using student and teacher data to understand and predict teacher shortages (REL 2021-052). U.S. Department of Education, Institute of Education Sciences, National Center for Education Evaluation and Regional Assistance, Regional Educational Laboratory Central. https://eric.ed.gov/?id=ED609342

Contact
David Yanoski
david.yanoski@marzanoresearch.com
(720) 463-3600 x 106
More Information
Agenda for this event  PDF File ( 267 KB )
Category
REL Events
Organization
Regional Educational Laboratory Program
Item will download as a vCalendar (.vcs) file, compatible with Microsoft Outlook.
Note: All downloaded Events show a default time of 10:00am and do not reflect precise release timings or event start times.
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