The swift transitions in higher education after the COVID-19 outbreak identified a gap in the pedagogical support available to faculty. We propose a smart, knowledge-based chatbot that addresses issues of knowledge distillation and provides faculty with personalized recommendations. Our collaborative system crowdsources useful pedagogical practices and continuously filters recommendations based on theory and user feedback, thus enhancing the experiences of subsequent peers. We build a prototype for our local STEM faculty as a proof concept and receive favorable feedback that encourages us to extend our development and outreach, especially to underresourced faculty.
翻译：在COVID-19爆发后,高等教育迅速转型,发现教师在教学支持方面存在差距。我们提议建立一个智能的、以知识为基础的聊天室,处理知识蒸馏问题,为教师提供个性化建议。我们的合作系统众源根据理论和用户反馈,不断过滤建议,从而增强随后同龄人的经验。我们为本地STEM教师建立了一个原型,作为证据概念,并获得有利的反馈,鼓励我们扩大发展和外联,特别是向资源不足的教师推广。
相关内容
微信扫码咨询专知VIP会员