Learnersourcing: Student-generated Content @ Scale: 2nd Annual Workshop

Abstract

We propose the second annual workshop on Learnersourcing: Student-generated Content @ Scale. This full-day workshop is designed to explore the vast potential of learnersourcing, which combines the efforts of humans, AI, and other data sources to create and assess educational materials. This presents an opportunity for instructors, researchers, learning engineers, and professionals from various fields to discover how learnersourcing can enhance education. This workshop is open to individuals with diverse backgrounds and levels of experience with learnersourcing. By drawing on principles from education, crowdsourcing, learning analytics, data mining, machine learning (ML), and natural language processing (NLP), we aim to foster an environment where all participants can learn from and contribute to the conversation. Learnersourcing involves a wide range of stakeholders, including students, instructors, researchers, and instructional designers. Through bringing together these different perspectives, we hope to uncover what future learnersourced content could look like, identify innovative methods to evaluate its quality, and ignite collaborative projects among participants. Our goal is for attendees to leave the workshop with a practical understanding of how to engage with learnersourcing. Participants will get hands-on experience with current tools, develop their own learnersourcing activities, and join discussions about the future challenges and opportunities in this field.