Quranic education and technology : reinforcement learning system for non-native Arabic children

Bayan M. Alsharbi, Omar Mubin, Mauricio Novoa

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

7 Citations (Scopus)

Abstract

We built a simulator based on reinforcement learning to improve teaching experience in Quranic and Islamic education for non-native Arabic speakers to evaluate their strength and weaknesses and allow the system to help improving the child in one hand, and provide an accurate actual report for each child on the other hand.
Original languageEnglish
Title of host publicationProceedings of the 12th International Conference on Ambient Systems, Networks and Technologies (ANT 2021), the 4th International Conference on Emerging Data and Industry 4.0 (EDI40 2021) and Affiliated Workshops, 23 -26 March 2021, Warsaw, Poland
PublisherElsevier
Pages306-313
Number of pages8
Volume184
DOIs
Publication statusPublished - 2021
EventInternational Conference on Ambient Systems, Networks and Technologies -
Duration: 23 Mar 2021 → …

Publication series

Name
ISSN (Print)1877-0509

Conference

ConferenceInternational Conference on Ambient Systems, Networks and Technologies
Period23/03/21 → …

Bibliographical note

Publisher Copyright:
© 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Open Access - Access Right Statement

© 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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