Invitation to a Doenet experiments workshop

[Rob Beezer]

[From Duane Nykamp.]

We invite you to join our five-day workshop on creating and implementing online
learning experiments using the Distributed Open Education Network (Doenet).

Doenet is an open-source educational technology platform that allows instructors
to build interactive problems, to track student interactions on those pages, and
to conduct research on the effectiveness of content.  Demos are available at
doenet.org <https://www.doenet.org/>.

During the workshop, you will work with developers to build engaging content and
to develop experiments that can be used in your college classroom. The workshop
is open to all instructors teaching STEM courses, and will take place from 9 AM
on Monday, May 20 through Noon on Friday, May 24.

To apply, please submit a personal statement and CV via the workshop website
<https://cse.umn.edu/ima/events/developing-online-learning-experiments-using-doenet-2024>.
You can requestfunding for travel and/or local expenses when you apply. For full
consideration, apply by April 17.

The workshop is funded by the National Science Foundation (DUE 1915363).

For more information about the workshop, please visit the workshop website
<https://cse.umn.edu/ima/events/developing-online-learning-experiments-using-doenet-2024>.

--
Duane Nykamp
School of Mathematics
University of Minnesota
202 Vincent Hall
206 Church St. SE
Minneapolis, MN 55455
www.math.umn.edu/~nykamp <http://www.math.umn.edu/~nykamp>

[Rob Beezer]

[From Duane Nykamp.]

A reminder that tomorrow (April 17) is the full consideration deadline to attend
the Doenet workshop held May 20-24 at the University of Minnesota. Also, an
update that we have decided to include a remote attendance option (indicate your
request for remote attendance in your personal statement when applying).

We still have some funding available to support travel and/or local expenses.
Apply at
https://cse.umn.edu/math/events/developing-online-learning-experiments-using-doenet-2024.

The workshop is funded by the National Science Foundation (DUE 1915363).

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