[CFP] Learnersourcing: Student Generated Content @ Scale - Workshop at L@S 2025

[Steven Moore]

Hello,

We are excited to invite you to the third annual “Learnersourcing: Student Generated Content @ Scale” workshop at ACM’s Learning @ Scale 2025 this year! Please consider submitting your work.  The workshop will be held in a hybrid format, offering opportunities for both in-person (Palermo, Italy) and remote participation. Last year, in 2024, we had a great turnout and we again expect plenty of networking to be done!

 

# Learnersourcing: Student Generated Content @ Scale

This hybrid full-day workshop at L@S 2025 is a unique venue to showcase work and initiatives related to learnersourcing and crowdsourcing in education. Learnersourcing is the practice of involving learners in creating or refining educational content, such as annotating explanations or generating questions, harnessing collective student insights to enhance educational resources. The rise of large language models (LLMs) complements this practice by enabling new types of activities and facilitating a partnership where the LLM provides feedback to the student and vice-versa. While no submission is required for this workshop in order to participate, we are accepting papers that are 3 - 5 pages in length using the workshop style in either the LaTeX template or the DOCX template. We invite you to participate and submit learnersourcing papers on:

 

·         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

·         Guidelines to maintaining pedagogical value in learnersourcing when AI assistance is involved

·         Considerations for integrating student and AI contributions in learnersourcing, balancing the dual objectives of improving learning outcomes and enhancing the efficiency of educational content generation

 

## Important Dates (AoE)

·         June 9th: Submissions due

·         June 18th: Notifications sent

·         July 14th: Camera-ready versions due

·         July 21st: Hybrid workshop takes place

 

## Important links

·         Submit here: https://easychair.org/conferences/?conf=lsgcs3

·         Workshop website: https://sites.google.com/andrew.cmu.edu/learnersourcing  

·         Questions? stev...@andrew.cmu.edu

 

# About Learnersourcing: Student Generated Content @ Scale

The third annual hybrid workshop on “Learnersourcing: Student Generated Content @ Scale” is taking place at Learning @ Scale (L@S) 2025 on July 21! 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 and existing 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 learnersourcing tools, such as RiPPLE or PeerWise. Participants will take part in creating their own learnersourcing activities using these tools 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 quality instructional and assessment content and those interested in the use of online learning platforms.

 

# Organizers

·         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