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Collaborative Research: Social Media Co-Pilot: Enhancing Teens’ Digital Literacy and Cyber Safety Education with AI-based Conversational Intervention

合作研究：社交媒体副驾驶：通过基于人工智能的对话干预提高青少年的数字素养和网络安全教育

基本信息

批准号：
2302977
负责人：
Qian Yang
金额：
$ 47.1万
依托单位：
Cornell University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2023
资助国家：
美国
起止时间：
2023-09-01 至 2026-08-31
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2302977&HistoricalAwards=false
关键词：
Collaborative Research Social Media Co

项目摘要

The prevalence of cyber risks in online environments calls for digital literacy and cyber safety education to prevent and mitigate harms that can lead to serious and long-lasting consequences for teens. Artificial intelligence (AI)-based conversational agents have great potential to improve digital literacy and cyber safety education because they can provide personalized, dynamic, and immediate learning guidance and feedback. The goal of this research is to educate teens on safe, responsible, and ethical conduct on the internet through Social Media Co-Pilot, an innovative AI-based conversational intervention embedded in an interactive and realistic online learning environment. By dynamically analyzing learners’ input, the Co-Pilot will identify “teachable moments” and offer personalized, conversational feedback to reinforce prosocial behaviors and discourage risky actions online. With the capacity to assume different conversational roles appropriate to the situation (e.g., a more knowledgeable peer, a peer needing immediate help, an adult mentor etc.), Social Media Co-Pilot will guide a learner into a deeper reflection and responsible actions when confronting common social media risks and pitfalls, such as online aggression, privacy violation, phishing, and scams. This project will benefit all youth, but will provide additional, customized support to vulnerable and underserved communities, thus reducing digital divides. Youth’s improved digital literacy and cyber safety skills can provide a foundation for STEM literacy and enhance their readiness to pursue STEM careers. The PIs will employ cutting-edge natural language processing (NLP) techniques to develop the conversational agent that drives Social Media Co-Pilot. They will iteratively refine Social Media Co-Pilot with teens and educators, whose formative feedback will inform incremental improvement of the tool and provide personalized in-situ conversations and critical reflection on various cybersecurity challenges. Co-Pilot will be developed using large language models with extensive input from racially and ethnically diverse teens and educators to ensure its relevance to different learners, as well as its effectiveness and scalability. Once built, PIs will evaluate the effects of Social Media Co-Pilot on youth’s cyber safety knowledge and behavioral outcomes through a randomized field experiment. By leveraging educational theories to inform improvements in the design and evaluation of Social Media Co-Pilot, this project will contribute new knowledge about the effectiveness of AI-based conversational agents as experiential learning tools. It will also advance the understanding of human-centered AI design and novel ways to customize large scale NLP models in the education domain, while ensuring reliability, transparency, and fairness in design and application.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

网络环境中网络风险的普遍存在要求进行数字素养和网络安全教育，以预防和减轻可能给青少年带来严重和长期后果的伤害。基于人工智能(AI)的会话代理在提高数字素养和网络安全教育方面具有巨大的潜力，因为它们可以提供个性化、动态和即时的学习指导和反馈。这项研究的目标是通过社交媒体联合试点(Social Media Co-Pilot)教育青少年在互联网上安全、负责任和道德的行为，社交媒体联合试点是一种嵌入在互动和现实在线学习环境中的基于人工智能的对话干预创新。通过动态分析学习者的输入，该联合飞行员将识别“可教的时刻”，并提供个性化的对话反馈，以加强亲社会行为，并阻止在线冒险行为。社交媒体联合试点能够根据情况扮演不同的对话角色(例如，更有知识的同行、需要立即帮助的同行、成人导师等)，从而引导学习者在面临常见的社交媒体风险和陷阱时进行更深入的反思和负责任的行动，例如在线攻击、侵犯隐私、网络钓鱼和诈骗。该项目将使所有青年受益，但将为弱势和服务不足的社区提供额外的定制支持，从而缩小数字鸿沟。青年数字素养和网络安全技能的提高可以为STEM扫盲提供基础，并增强他们从事STEM职业生涯的准备。PIS将使用尖端的自然语言处理(NLP)技术来开发驱动社交媒体联合试点的对话代理。他们将与青少年和教育工作者反复完善社交媒体联合试点，他们的形成性反馈将为该工具的渐进改进提供信息，并提供个性化的现场对话和对各种网络安全挑战的批判性反思。将使用大型语言模型开发联合试点项目，并从不同种族的青少年和教育工作者那里获得广泛的投入，以确保其与不同学习者的相关性以及有效性和可扩展性。一旦建立，PI将通过随机现场实验评估社交媒体联合试点对青少年网络安全知识和行为结果的影响。通过利用教育理论为社交媒体联合试点的设计和评估提供改进信息，该项目将提供关于基于人工智能的对话代理作为体验式学习工具的有效性的新知识。它还将促进对以人为中心的人工智能设计和在教育领域定制大规模NLP模型的新方法的理解，同时确保设计和应用的可靠性、透明度和公平性。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。