  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.
