Learnersourcing: Student-generated Content @ Scale

July 20, 2024 - 9:00-17:00 EST - Atlanta, Georgia, USA & Virtually

Workshop as part of the Learning @ Scale Conference held July 18-20, 2024

The second annual workshop on Learnersourcing: Student-generated Content @ Scale is taking place at Learning @ Scale 2024. 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. 


We had 6 amazing paper presentations,  tons of interesting discussions, and a few hands-on activities where we made a great literature review on learnersourcing and devised our own unique learnersourcing activities. The slides and these aforementioned deliverables can be found below:

Literature Review

Discussion Slides (with the great PollEverywhere answers)

Novel Learnersourcing Activities we  created

Call for Papers & Participation 

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:

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=lsgcs2

Submission Deadline: June 1, 2024 - 11:59 pm AoE time

Submission Notifications: June 18, 2024

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.


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): 3 accepted papers will present

Engaging Learnersourcing with an AI Social Agent in Online Learning

How Effective is GPT-4 Turbo in Generating School-Level Questions from Textbooks Based on Bloom’s Revised Taxonomy?

Enhancing AI Literacy through LLM-Generated Personalized Analogies: An AI-Powered Learnersourcing Approach

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): 3 accepted papers will present

A.I. Math Personalization Tool: A Preliminary Evaluation of Student Co-Authored Math Problems in MATHia

CompetiLearn: A Retrieval-Augmented System for Complementing Learnersourcing and AI for Data Science Learners

KUIZ: Encouraging Modular Learnersourcing of Multiple Choice Questions through LLM Interventions

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: Georgia Tech, Atlanta, Georgia, USA

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  

Workshop Details

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.

Previous Proceedings

2022 Workshop Proceedings


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