EduPal leaves no professor behind: Supporting faculty via a peer-powered recommender system

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ID: 281939
2021
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Abstract
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.
Reference Key
osman2021edupal Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Nourhan Sakr; Aya Salama; Nadeen Tameesh; Gihan Osman
Journal arXiv
Year 2021
DOI
DOI not found
URL
http://arxiv.org/abs/2104.12558v1
Keywords
cs.ir cs.cy

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