PCEC1: Partnerships for Cocreating Educational Content Learning Analytics and Knowledge Arlington, TX, United States, March 13-17, 2023 |
Conference website | https://sites.google.com/andrew.cmu.edu/partnerships-for-cocreating-ed |
Submission link | https://easychair.org/conferences/?conf=pcec1 |
Submission deadline | January 11, 2023 |
The first annual workshop on Partnerships for Cocreating Educational Content will be held at LAK 2023. This in-person workshop explores ample opportunities in leveraging humans, AI, andlearning analytics to generate content, particularly appealing to instructors, researchers, learning engineers, and many other roles. The process of humans and AI cocreatingeducational content involves many stakeholders (students, instructors, researchers,instructional designers, etc.), thus multiple viewpoints can help to inform what futuregenerated content might be useful, new and better ways to assess the quality of such contentand to spark potential collaborative efforts between attendees. We ultimately want to showhow everyone can leverage recent advancements in learnersourcing, AI, and learninganalytics, and engage all participants in shaping the landscape of challenges and opportunitiesin this space. Our hope is to attract attendees interested in scaling the generation ofinstructional and assessment content and those interested in the use of online learningplatforms.
Submission Guidelines
Interested participants can submit one of the following:
Position, Work-in-Progress, or Research papers (5 to 10 pages, single column, PDF format preferred, Templates: Latex, Word )
List of Topics
- Educational content creation
- Human-AI partnernships
- Learning Analytics
- Learning at Scale
Committees
Organizing committee
-
Steven Moore (chair), Carnegie Mellon University
-
Hassan Khosravi, The University of Queensland
-
Paul Denny, The University of Auckland
-
Anjali Singh, University of Michigan
-
Chris Brooks, University of Michigan
-
John Stamper, Carnegie Mellon University
Publication
The workshop proceedings will be published via CEUR-WS.org.
Venue
The workshop will be held at the Learning Analytics and Knowledge Conference 2023 in Arlington, Texas USA.
Contact
All questions about submissions should be emailed to stevenmo@andrew.cmu.edu