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A Virtual Teaching Assistant for Personalized Learning

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arxiv 1902.09289 v1 pith:ZFSSAAKJ submitted 2019-02-25 cs.HC

Luca Benedetto , Paolo Cremonesi , Manuel Parenti This is my paper · ORCID
classification cs.HC
keywords assistantcourselearningpersonalizedsystemteachingvirtualabstract
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In this extended abstract, we propose an intelligent system that can be used as a Personalized Virtual Teaching Assistant (PVTA) to improve the students learning experience both for online and on-site courses. We show the architecture of such system, which is composed of an instance of IBM Watson Assistant and a server, and present an initial implementation, consisting in a chatbot that can be questioned about the content and the organization of the RecSys course, an introductory course on recommender systems.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Virtual teaching assistant for undergraduate students using natural language processing & deep learning

    cs.CY 2024-11 reject novelty 3.0 of 10

    A conference paper describes VTA-bot, a feed-forward neural chatbot for Python course questions, but reports only training accuracy and ships no code or data.

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