Intelligent information processing for language education: The use of artificial intelligence in language learning apps
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F20%3A50017194" target="_blank" >RIV/62690094:18450/20:50017194 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.procs.2020.09.151" target="_blank" >http://dx.doi.org/10.1016/j.procs.2020.09.151</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.procs.2020.09.151" target="_blank" >10.1016/j.procs.2020.09.151</a>
Alternative languages
Result language
angličtina
Original language name
Intelligent information processing for language education: The use of artificial intelligence in language learning apps
Original language 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
60203 - Linguistics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Procedia Computer Science
ISBN
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ISSN
1877-0509
e-ISSN
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Number of pages
8
Pages from-to
1412-1419
Publisher name
Elsevier
Place of publication
Elsevier B.V.
Event location
Verona
Event date
Sep 16, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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