Developing Online Learning Experiments Using Doenet (2023)
- Jim Fowler — The Ohio State University
- Duane Nykamp — University of Minnesota, Twin Cities
- Matt Thomas — Cornell University
In this five-day workshop, participants will learn how to create and implement online learning experiments using the Distributed Open Education Network (Doenet, doenet.org). Doenet is designed to help faculty critically evaluate how different content choices influence student learning in their classrooms. Doenet enables instructors to quickly test hypotheses regarding the relative effectiveness of alternative approaches by providing tools to assign different variations of an activity and analyze the resulting data.
Following brief introductions and demos of features of the Doenet platform, participants will work in small groups to develop learning experiments that can be used in the college classroom, assisted by the developers of Doenet. The expectation is that participants will leave the workshop with a learning experiment that they can use in their classroom the following year.
The workshop will run from 9 AM on Monday, May 22 through 4 PM on Friday, May 26. All organized activities will occur between 9 AM and 4 PM each day.
The workshop is open to faculty at all levels teaching STEM courses.
Applications to the workshop will open in January, 2023. For more information, contact us at email@example.com.
This workshop is fully funded by the National Science Foundation. All accepted participants who request funding for travel and/or local expenses will receive support. There is no registration fee.
Participants who perform learning experiments on Doenet during the following academic year will be eligible to receive a small stipend to support their work.
Supported by NSF grant DUE 1915363.