Empowering Education with LLMs - The Next-Gen Interface and Content Generation
Abstract
We propose the first annual workshop on Empowering Education with LLMs - the Next-Gen Interface and Content Generation. This full-day workshop explores ample opportunities in leveraging humans, AI, and learning analytics to generate content, particularly appealing to instructors, researchers, learning engineers, and many other roles. The process of humans and AI cocreating educational content involves many stakeholders (students, instructors, researchers, instructional designers, etc.), thus multiple viewpoints can help to inform what future generated content might be useful, new and better ways to assess the quality of such content and to spark potential collaborative efforts between attendees. Ultimately, we want to illustrate how everyone can leverage recent advancements in AI, making use of the latest machine learning methods and large language models (LLMs), and engage all participants in shaping the landscape of challenges and opportunities in this space. We wish to attract attendees interested in scaling the generation of instructional and assessment content and those interested in the use of online learning platforms.
Publication Title
Communications in Computer and Information Science
Recommended Citation
Moore, S., Tong, R., Singh, A., Liu, Z., Hu, X., Lu, Y., Liang, J., Cao, C., Khosravi, H., Denny, P., Brooks, C., & Stamper, J. (2023). Empowering Education with LLMs - The Next-Gen Interface and Content Generation. Communications in Computer and Information Science, 1831 CCIS, 32-37. https://doi.org/10.1007/978-3-031-36336-8_4
