Learnersourcing: Student-generated Content @ Scale
July 21, 2025 - 9:00-17:00 EST - Palermo, Italy & Virtually
Workshop as part of the Learning @ Scale Conference held July 21-23, 2025
July 21, 2025 - 9:00-17:00 EST - Palermo, Italy & Virtually
Workshop as part of the Learning @ Scale Conference held July 21-23, 2025
The third annual workshop on Learnersourcing: Student-generated Content @ Scale is taking place at Learning @ Scale 2025. This full day hybrid workshop will feature invited speakers, interactive activities, paper presentations, and discussions, as we delve into the field's opportunities and challenges. Attendees will engage in hands-on development of learnersourcing activities suited to their own courses or systems and gain access to various learnersourcing systems and datasets for exploration. This workshop aims to foster discussions on new types of learnersourcing activities, strategies for evaluating the quality of student-generated content, the integration of LLMs with the field, and approaches to scaling learnersourcing to produce valuable instructional and assessment materials.
We believe participants from a wide range of backgrounds and prior knowledge on learnersourcing can both benefit and contribute to this workshop, as learnersourcing draws on work from education, crowdsourcing, learning analytics, data mining, ML/NLP, and many more fields! Additionally, as the learnersourcing process involves many stakeholders (students, instructors, researchers, instructional designers, etc.), multiple viewpoints can help to inform what future student-generated content might be useful, new and better ways to assess the quality of the content, and spark potential collaboration efforts between attendees. We ultimately want to show how everyone can make use of learnersourcing and have participants gain hands on experience using these tools, creating their own learnersourcing activities using them or their own platforms, and take part in discussing the next challenges and opportunities in the learnersourcing 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.
While no submission is required to participate in the workshop, we encourage submissions of various types as stated above. We expanded our submissions to include artifacts such as videos and commentary to express your perspectives on learnersourcing. However, the core submission format is a research, work-in-progression, or position paper, targeting roughly 3 to 5 pages.
Here are some questions and ideas applicants may want to considering addressing in their submissions:
Strategies for engaging and motivating student participation in learnersourcing activities
Exploration of innovative learnersourcing content formats
Methods for evaluating the quality of student-generated content
Incentivizing high-quality student contributions
Techniques for providing actionable feedback during the learnersourcing process
Approaches to enable collaboration and content sharing across institutions
Training students to develop high-quality resources
Exploring models of co-creating content
How LLMs can assist in the cold start problem for student-content creation
Leveraging LLMs to assist in the different stages (creation, evaluation, etc.) of the learnersourcing process
Interested participants can submit one of the following:
Research, Work-in-Progress, or Position paper [3 to 5 pages, double column, double-blind, PDF format preferred, Templates: Latex, Word]
Commentary on a past publication(s) [3 to 5 pages, PDF format preferred, Templates: Latex, Word]
The 3 to 5 page submissions (references do not count towards the page limit) will be curated into a learnersourcing proceedings that will be made available via a public proceedings. Submissions should contain mostly novel work, however there can be overlap between the submission and work submitted elsewhere (such as summaries, describing the process of the work, and focusing on the learnersourcing aspect). Each of the submissions will be reviewed by multiple members of the Program Committee and should be double-blind (do not include author names in the submission).
Submission URL: https://easychair.org/conferences/?conf=lsgcs3
Submission Deadline: June 9, 2025 - 11:59 pm AoE time
Submission Notifications: June 18, 2025
While we encourage participant submissions, 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, along with plans to have multiple artifacts be created during the workshop. Last year, in 2024, we had a great turnout of around thirty people, so there will be plenty of networking to be done as well!
A tentative schedule is provided below.
Introductions (9:00 - 9:30): Introductions of workshop organizers and participants, and a background to the focus of the workshop
State of Learnersourcing (9:30 - 10:30): Two 30 minute talks regarding the latest advancements in learnersourcing
Refreshment Break (10:30 - 11:00)
Presentations (11:00 - 12:00): Select accepted papers will present
Lunch (12:00 - 13:30)
Round-table Discussions (13:30 - 14:30): Participants will move around specific topics of interest related to various types of learnersourcing applications
Coffee Break (14:30 - 14:45)
Presentations (14:45 - 15:45): : Select accepted papers will present
Hands-on Session (15:45 - 16:45): Participants will collaborate on initiating a tangible project output, such as drafting a grant proposal, creating a detailed Wikipedia entry, developing a prototype for a new learnersourcing system, or outlining a scholarly paper
Closing Remarks (16:45 - 17:00): Summarizing key takeaways, next steps, and the overarching goals
*All times are in EST pm
Location: University of Palermo, Palermo, Italy
Virtual (Zoom): The Zoom link will posted here the morning of the workshop
Waivers for virtual attendance will be provided on an as-needs basis, please contact stevenmo@andrew.cmu.edu if you’d like to attend virtually, but need financial assistance.
The workshop will be held in a hybrid format, offering opportunities for both in-person and remote participation.
Contact: stevenmo@andrew.cmu.edu
Join the Slack: https://join.slack.com/t/learnersourcing/shared_invite/zt-1a1rkpo3n-aT16p0AWLLY6tked55DPfg
Before the workshop
There is no need to do anything prior to the workshop, but if you'd like to explore any of the systems we'll be discussing or gain a better understanding of what learnersourcing is, we encourage you to explore the following links and readings!
What is Learnersourcing?
During the workshop
The workshop focus will be on examining the tools, processes, and content that is both used and generated through learnersourcing. We will begin with introductions and an overview of the learnersourcing landscape, to bring all participants, regardless of background, up to speed on the concept and latest trends. We will then have an invited guest speaker give a presentation to highlight the latest advances in the field and showcase a tool of theirs, with an emphasis on how the student-generated content can be used by instructors and researchers. Then we will have a ten minute break that includes coffee and light snacks. Next, participants of accepted submissions will present. Following a lunch break, we will resume and have our second invited guest speaker give a presentation on how advances in LLM enable novel learnersourcing methods. Following this, we will demonstrate how participants can add learnersourcing activities of their own to practically any piece of educational technology (MOOCs, LMSs, etc.). Participants will then engage in a discussion around the challenges, opportunities, and future of learnersourcing, including how we can assess and incentivize quality student-generated content, while also empowering the instructors and learners with actionable insights. The workshop will conclude with a summary of the day’s events, core challenges and opportunities we addressed in the discussions, and a strong emphasis on future collaborations.
After the workshop
We will publish the accepted papers as part of a compendium. Additionally, we will continue to grow collaborations between interested participants and the organizers, as we share out data collected from the systems, brainstorm interesting solutions together, and ultimately help the field of learnersourcing grow. We have created a Slack channel for continuing the discussion and collaboration efforts around learnersourcing. We expect to repeat this workshop at future related conferences, so we can continue to grow the community and expand our collaboration efforts.
Steven Moore, Carnegie Mellon University
Anjali Singh, University of Texas at Austin
Xinyi Lu, University of Michigan
Hyoungwook Jin, Korea Advanced Institute of Science & Technology
Paul Denny, The University of Auckland
Hassan Khosravi, The University of Queensland
Chris Brooks, University of Michigan
Xu Wang, University of Michigan
Juho Kim, Korea Advanced Institute of Science & Technology
John Stamper, Carnegie Mellon University
forthcoming