Preparing teachers for the application of AI-powered technologies in foreign language education
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28150%2F19%3A63523700" target="_blank" >RIV/70883521:28150/19:63523700 - isvavai.cz</a>
Výsledek na webu
<a href="https://content.sciendo.com/view/journals/jolace/7/3/article-p135.xml" target="_blank" >https://content.sciendo.com/view/journals/jolace/7/3/article-p135.xml</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.2478/jolace-2019-0025" target="_blank" >10.2478/jolace-2019-0025</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Preparing teachers for the application of AI-powered technologies in foreign language education
Popis výsledku v původním jazyce
As any other area of human lives, current state of foreign language education has been greatly influenced by the latest developments in the modern information communication technologies. The paper focuses specifically on the incorporation of artificial intelligence (AI), which includes a wide range of technologies and methods, such as machine learning, adaptive learning, natural language processing, data mining, crowdsourcing, neural networks or an algorithm, into foreign language learning and teaching. First, the paper is concerned with changes brought to foreign language education specifically through the application of AI-powered tools and discusses ICALL (intelligent computer assisted language learning) as a subset of CALL. Second, it summarizes eight types of AI-powered tools for foreign language education and related results of the existing research, however scarce it is. Third, it discusses the frame for effective preparation of foreign language teachers in order to integrate AI-powered tools into their teaching to make it easier, less time-consuming and more effective. The author argues for reconsideration of the existing frames of requirements for CALL teachers.
Název v anglickém jazyce
Preparing teachers for the application of AI-powered technologies in foreign language education
Popis výsledku anglicky
As any other area of human lives, current state of foreign language education has been greatly influenced by the latest developments in the modern information communication technologies. The paper focuses specifically on the incorporation of artificial intelligence (AI), which includes a wide range of technologies and methods, such as machine learning, adaptive learning, natural language processing, data mining, crowdsourcing, neural networks or an algorithm, into foreign language learning and teaching. First, the paper is concerned with changes brought to foreign language education specifically through the application of AI-powered tools and discusses ICALL (intelligent computer assisted language learning) as a subset of CALL. Second, it summarizes eight types of AI-powered tools for foreign language education and related results of the existing research, however scarce it is. Third, it discusses the frame for effective preparation of foreign language teachers in order to integrate AI-powered tools into their teaching to make it easier, less time-consuming and more effective. The author argues for reconsideration of the existing frames of requirements for CALL teachers.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
50301 - Education, general; including training, pedagogy, didactics [and education systems]
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Journal of Language and Cultural Education
ISSN
1339-4045
e-ISSN
—
Svazek periodika
7
Číslo periodika v rámci svazku
3
Stát vydavatele periodika
DE - Spolková republika Německo
Počet stran výsledku
19
Strana od-do
135-153
Kód UT WoS článku
000505790700008
EID výsledku v databázi Scopus
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