Partnerships for Cocreating Educational Content
March 13, 2023 - 13:30 - 17:00 CST - Arlington, TX, USA
Workshop as part of the Learning Analytics and Knowledge Conference March 13-17, 2023
March 13, 2023 - 13:30 - 17:00 CST - Arlington, TX, USA
Workshop as part of the Learning Analytics and Knowledge Conference March 13-17, 2023
The first annual workshop on Partnerships for Cocreating Educational Content is taking place at Learning Analytics and Knowledge Conference in 2023. This in-person workshop will expose attendees to the ample opportunities in leveraging humans, AI, and learning analytics to generate content, particularly appealing to instructors, researchers, learning engineers, and many other roles. The process of humans and AI cocreating educational content involves many stakeholders (students, instructors, researchers, instructional designers, etc.), thus multiple viewpoints can help to inform what future generated content might be useful, new and better ways to assess the quality of such content and to spark potential collaborative efforts between attendees. We ultimately want to show how everyone can leverage recent advancements in learnersourcing, AI, and learning analytics, and engage all participants in shaping the landscape of challenges and opportunities in this space. Our hope is to attract attendees interested in scaling the generation of instructional and assessment content and those interested in the use of online learning platforms.
The workshop will run as an interactive half-day session with mini-presentations and round-table discussions on the theme. The tentative structure of the workshop will involve:
13:30 - 14:00 Introductions: Introductions of workshop organizers and participants, and a background to the focus of the workshop.
14:00 - 15:20 Short Presentations: Authors of accepted submissions present their work for 10 minutes, participants will then do a 5 minute group discussion regarding the presentation with those nearby, then we'll do a five minute Q&A session.
14:00 - 14:20 Learnersourcing for Co-Designing Motivational Systems
Ilya Musabirov, Runce Zhang and Joseph Jay Williams
14:20 - 14:40 Content Moderation and Personalization of Learning Materials with Learnersourcing
Ping Wang and Tianyi Li
14:40 - 15:00 QuickTA : Exploring the Design Space of Using Large Language Models to Provide Support to Students
Harsh Kumar, Ilya Musabirov, Joseph Jay Williams and Michael Liut
15:00 - 15:20 Automated Essay Scoring in Argumentative Writing: All Hail DeBERTa
Yann Hicke, Tonghua Tian, Karan Jha and Choong Hee Kim
15:20 - 15:50 Coffee Break
15:50 - 16:15 Round-table discussion: Participants will move around specific topics of interest related to various types of partnerships for creating educational content including, student-student partnerships, student-AI partnerships, student-instructor partnerships, and instructor-AI partnerships.
16:15 - 16:45 Open discussion: An open discussion will be facilitated among all participants summarizing activities from the round table discussions and building consensus using the co-creation of shared notes and resources.
16:45 - 17:00 Concluding remarks and community engagement: Closing remarks on the workshop will be made with future steps and opportunities for collaboration between participants.
Zoom: https://cmu.zoom.us/j/96254133329?pwd=cVJLNTZNVUZUR0hEdEVUaW55b3I2QT09
Contact: stevenmo@andrew.cmu.edu
Join the Slack: https://join.slack.com/t/partnerships-cocreating/shared_invite/zt-1a1rkpo3n-aT16p0AWLLY6tked55DPfg
While we encouraged participant submissions for this workshop, we will have plenty of activities and other ways to contribute during the workshop itself. Presentation of the submissions will only be a portion of the workshop, as we plan to keep participants engaged and contributing through other ways during the workshop.
Learnersourcing for Co-Designing Motivational Systems
Ilya Musabirov, Runce Zhang and Joseph Jay Williams
QuickTA : Exploring the Design Space of Using Large Language Models to Provide Support to Students
Harsh Kumar, Ilya Musabirov, Joseph Jay Williams and Michael Liut
Content Moderation and Personalization of Learning Materials with Learnersourcing
Ping Wang and Tianyi Li
Automated Essay Scoring in Argumentative Writing: All Hail DeBERTa
Yann Hicke, Tonghua Tian, Karan Jha and Choong Hee Kim
During the workshop, we'll discuss the concepts below and many more:
Educational content creation
Human-AI partnerships
Learnersourcing & Crowdsourcing
Use of models (BERT, GPT-3, T5) to create and evaluate educational content
Analytics to assess content quality
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