Reminder: CFP for Learnersourcing: Student Generated Content @ Scale - Workshop at L@S 2024

[Steven Moore]

Hello,

We are excited to invite you to the second Learnersourcing: Student Generated Content @ Scale workshop at Learning @ Scale 2024 this year! Please consider submitting your work.

# Learnersourcing: Student Generated Content @ Scale

This hybrid full day workshop at L@S 2024 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

## Important Dates

• June 1st: Submissions due

• June 10th: Notifications sent

• July 8th: Camera-ready versions due

• July 20th: Hybrid workshop takes place

## Important links

• Submit here: https://easychair.org/conferences/?conf=lsgcs2

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

• Questions? stev...@andrew.cmu.edu

# About Learnersourcing: Student Generated Content @ Scale

The second annual hybrid workshop on Learnersourcing: Student Generated Content @ Scale is taking place at Learning @ Scale (L@S) 2024 on July 20! 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 Michigan

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