arXiv Open Access 2019

A Virtual Teaching Assistant for Personalized Learning

Luca Benedetto Paolo Cremonesi Manuel Parenti
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Abstrak

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.

Topik & Kata Kunci

Penulis (3)

L

Luca Benedetto

P

Paolo Cremonesi

M

Manuel Parenti

Format Sitasi

Benedetto, L., Cremonesi, P., Parenti, M. (2019). A Virtual Teaching Assistant for Personalized Learning. https://arxiv.org/abs/1902.09289

Akses Cepat

Lihat di Sumber
Informasi Jurnal
Tahun Terbit
2019
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓