Manchester Metropolitan University logo
e-space
Manchester Metropolitan University's Research Repository

    Development of An Arabic Conversational Intelligent Tutoring System for Education of Children with ASD

    Aljameel, S, O'Shea, J, Crockett, K, Latham, A and Kaleem, M (2017) Development of An Arabic Conversational Intelligent Tutoring System for Education of Children with ASD. In: The IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 2017, 26 June 2017 - 28 June 2017, Annecy, France.

    [img]
    Preview
    Download (773kB) | Preview

    Abstract

    This paper presents a novel Arabic Conversational Intelligent Tutoring System (CITS) that adapts the learning styles VAK for autistic children to enhance their learning. The proposed CITS architecture uses a combination of Arabic Pattern Matching and Arabic Short Text Similarity to extract the responses from the resources. The new Arabic CITS, known as LANA, is aimed at children with autism (10 to 16 years old) who have reached a basic competency with the mechanics of Arabic writing. This paper describes the architecture of LANA and its components. The experimental methodology is explained in order to conduct a pilot study in future.

    Item Type: Conference or Workshop Item (Paper)
    Peer-reviewed: Yes
    Date Deposited: 13 Sep 2017 11:43
    Publisher: IEEE
    Additional Information: This is an Author Accepted Manuscript of a paper presented at and published in the Proceedings of The IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 2017, published by and copyright IEEE.
    Divisions: Faculties > Science and Engineering
    Research Centres > Centre for Advanced Computational Science
    Subject terms: Autism Spectrum Disorder, Conversational Agent, Intelligent Tutoring System;, String Similarity, Arabic
    URI: https://e-space.mmu.ac.uk/id/eprint/618515
    DOI: https://doi.org/10.1109/CIVEMSA.2017.7995296
    ISSN 2377-9322

    Impact and Reach

    Statistics

    DownloadsShow export options
    Activity Overview
    6 month trend
    569Downloads
    6 month trend
    383Hits

    Additional statistics for this dataset are available via IRStats2.

    Altmetric

    Repository staff only

    Edit record Edit record