增强大规模社交标注平台中的用户参与度：基于社区的设计干预及其对大语言模型（LLMs）的启示
Enhancing User Engagement in Large-Scale Social Annotation Platforms: Community-Based Design Interventions and Implications for Large Language Models (LLMs)
中文总结 AI 辅助
本文通过在社交标注平台NB上开展基于社区的设计干预和两项大规模实验，提出有针对性的评论可见性控制策略，以缓解大型在线课程中的讨论过载并改善同伴互动，同时探讨了大语言模型在标注总结、写作改进和评论策展中的应用前景。
中文摘要 AI 辅助
社交标注平台通过将讨论直接整合到课程材料中，促进学生参与。然而，在大型在线课程中，海量评论可能使学生不堪重负，阻碍学习。本文研究了在社交标注平台（NB）上基于社区的设计干预，以应对这一挑战并促进更有意义的在线教育讨论。通过考察学生对不同策展策略的偏好和反应，本研究旨在优化社交标注在教育情境中的效用。研究重点强调评论的可见性如何塑造群体互动、引导对话流程并丰富学习体验。该研究将迭代设计与开发同两项大规模实验相结合，创建并完善评论策展策略，涉及数千名学生。研究引入了平台的具体功能，例如有针对性的评论可见性控制，这些功能显著改善了同伴互动并减少了讨论过载。这些发现为下一代社交标注系统的设计提供了依据，并凸显了整合大语言模型（LLMs）用于关键活动的机会，例如总结标注、提高学生写作的清晰度，以及协助教师进行高效的评论策展。
英文摘要
Social annotation platforms enable student engagement by integrating discussions directly into course materials. However, in large online courses, the sheer volume of comments can overwhelm students and impede learning. This paper investigates community-based design interventions on a social annotation platform (NB) to address this challenge and foster more meaningful online educational discussions. By examining student preferences and reactions to different curation strategies, this research aims to optimize the utility of social annotations in educational contexts. A key emphasis is placed on how the visibility of comments shapes group interactions, guides conversational flows, and enriches learning experiences. The study combined iterative design and development with two large-scale experiments to create and refine comment curation strategies, involving thousands of students. The study introduced specific features of the platform, such as targeted comment visibility controls, which demonstrably improved peer interactions and reduced discussion overload. These findings inform the design of next-generation social annotation systems and highlight opportunities to integrate Large Language Models (LLMs) for key activities like summarizing annotations, improving clarity in student writing, and assisting instructors with efficient comment curation.
