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Intelligent information processing for language education: The use of artificial intelligence in language learning apps

This paper attempts to bring new ideas regarding the use of artificial intelligence in language learning apps. Artificial intelligence has seen a dramatic increase and its utilization in various aspects of data science, information science and various platforms is unprecedented. Its ubiquitousness i...

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Detalles Bibliográficos
Autor principal: Pikhart, Marcel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531981/
https://www.ncbi.nlm.nih.gov/pubmed/33042299
http://dx.doi.org/10.1016/j.procs.2020.09.151
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author Pikhart, Marcel
author_facet Pikhart, Marcel
author_sort Pikhart, Marcel
collection PubMed
description This paper attempts to bring new ideas regarding the use of artificial intelligence in language learning apps. Artificial intelligence has seen a dramatic increase and its utilization in various aspects of data science, information science and various platforms is unprecedented. Its ubiquitousness is evident in smart cities, in online marketing, and data mining, however, its utilization in language learning apps is still somehow neglected. There are a few questions, such as why it is so, etc., this paper attempts to address. The research focuses on several most used language learning apps and the presence of artificial intelligence in them. The findings of the paper are as follows: basically none of the analysed apps uses any kind of machine learning, artificial intelligence or deep learning, and they are mostly based on predefined algorithms that do not utilize the full potential of the computational power we have currently available. The paper also suggests possible solutions and brings practical advice on how to implement artificial intelligence in these apps. The paper is important for any education innovation at the beginning of the 21 century. Without his innovative approach, education will lack sustainability and competitiveness, which will present a serious threat to the whole educational system.
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spelling pubmed-75319812020-10-05 Intelligent information processing for language education: The use of artificial intelligence in language learning apps Pikhart, Marcel Procedia Comput Sci Article This paper attempts to bring new ideas regarding the use of artificial intelligence in language learning apps. Artificial intelligence has seen a dramatic increase and its utilization in various aspects of data science, information science and various platforms is unprecedented. Its ubiquitousness is evident in smart cities, in online marketing, and data mining, however, its utilization in language learning apps is still somehow neglected. There are a few questions, such as why it is so, etc., this paper attempts to address. The research focuses on several most used language learning apps and the presence of artificial intelligence in them. The findings of the paper are as follows: basically none of the analysed apps uses any kind of machine learning, artificial intelligence or deep learning, and they are mostly based on predefined algorithms that do not utilize the full potential of the computational power we have currently available. The paper also suggests possible solutions and brings practical advice on how to implement artificial intelligence in these apps. The paper is important for any education innovation at the beginning of the 21 century. Without his innovative approach, education will lack sustainability and competitiveness, which will present a serious threat to the whole educational system. The Author(s). Published by Elsevier B.V. 2020 2020-10-02 /pmc/articles/PMC7531981/ /pubmed/33042299 http://dx.doi.org/10.1016/j.procs.2020.09.151 Text en © 2020 The Author(s). Published by Elsevier B.V. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Pikhart, Marcel
Intelligent information processing for language education: The use of artificial intelligence in language learning apps
title Intelligent information processing for language education: The use of artificial intelligence in language learning apps
title_full Intelligent information processing for language education: The use of artificial intelligence in language learning apps
title_fullStr Intelligent information processing for language education: The use of artificial intelligence in language learning apps
title_full_unstemmed Intelligent information processing for language education: The use of artificial intelligence in language learning apps
title_short Intelligent information processing for language education: The use of artificial intelligence in language learning apps
title_sort intelligent information processing for language education: the use of artificial intelligence in language learning apps
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531981/
https://www.ncbi.nlm.nih.gov/pubmed/33042299
http://dx.doi.org/10.1016/j.procs.2020.09.151
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