DEVELOPMENT OF A MOBILE APPLICATION FOR LEARNING FOREIGN LANGUAGES USING MACHINE LEARNING

被引:1
作者
Levkivskyi, Vitalii [1 ]
Marchuk, Dmytro [1 ]
Kravchenko, Svetlana [2 ]
Pavlenko, Oleksii [3 ]
机构
[1] Zhytomyr Polytech State Univ, Dept Comp Sci, Zhytomyr, Ukraine
[2] Zhytomyr Polytech State Univ, Dept Software Engn, Zhytomyr, Ukraine
[3] 4k Soft, Zhytomyr, Ukraine
关键词
foreign language; mobile app; machine learning; personalization; language learning;
D O I
10.33407/itlt.v102i4.5729
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Recently, Ukrainians, especially those who have suddenly found themselves abroad, have faced the need to learn different languages. Each language is associated with the culture of a country, so by learning it, a person not only gets a communication tool, but also immerses himself in the life and customs of the country. Knowledge of foreign languages opens up opportunities for both study and work outside of Ukraine. The growing popularity of mobile devices and the availability of highspeed Internet make mobile language learning apps increasingly popular and effective tools. The purpose of this work is to investigate the possibility of using machine learning algorithms to create a mobile application for learning a foreign language. The ML Kit SDK was used to create a mobile application with a wide range of functions. In the context of learning a foreign language, ML Kit SDK is used to recognize and process speech, translate text, and identify the most important words or phrases in a text, parts of speech, nouns, verbs, adjectives, etc. The mobile application allows you to create unique and personalized settings for each user based on their personal data and preferences. The application offers users a wide range of features in the form of interactive exercises, personalization, progress tracking, and offline support. The software product helps users memorize new vocabulary faster and easier when learning a foreign language. The app is available on mobile devices, making it convenient to use anywhere and anytime. The target audience is people learning a foreign language, students, professionals who need foreign language vocabulary for work, etc. The mobile application can also be useful for foreign language teachers looking for innovative and effective methods of teaching their students.
引用
收藏
页码:163 / 175
页数:13
相关论文
共 15 条
[1]  
[Anonymous], 2024, Android ML Kit Language Identification - Official documentation
[2]  
[Anonymous], 2023, Postanova Verkhovnoi Rady Ukrainy On adopting as a basis the draft law of Ukraine on the use of English in Ukraine
[3]  
[Anonymous], 2024, Derzhavna sluzhba statystyky Ukrainy State Statistics Service of Ukraine
[4]   IMPLEMENTATION OF LEARNING MANAGEMENT SYSTEMS WITH GENERATIVE ARTIFICIAL INTELLIGENCE FUNCTIONS IN THE POSTPANDEMIC ENVIRONMENT [J].
Arghir, Denis-Catalin .
INFORMATION TECHNOLOGIES AND LEARNING TOOLS, 2024, 100 (02) :217-232
[5]   THE IMPACT OF ARTIFICIAL INTELLIGENCE IN FOREIGN LANGUAGE LEARNING USING LEARNING MANAGEMENT SYSTEMS: A SYSTEMATIC LITERATURE REVIEW [J].
Ayotunde, Oke Oluwafemi ;
Jamil, Dashty Ismil ;
Cavus, Nadire .
INFORMATION TECHNOLOGIES AND LEARNING TOOLS, 2023, 95 (03) :215-228
[6]  
Chetveryk V. K., 2023, LANG ED SPEC MOD CHA, P282
[7]  
Gurova T., 2019, Scientific Bulletin Melitopol State Pedagogical University. Series: Pedagogy, P92
[8]   CREATING AN ENGLISH-SPEAKING DIGITAL LEARNING ENVIRONMENT FOR PRESCHOOLERS: LINGUODIDACTIC ASPECT [J].
Khomyshak, Oksana .
INFORMATION TECHNOLOGIES AND LEARNING TOOLS, 2024, 99 (01) :28-48
[9]   A Systematic Review on the Use of Emerging Technologies in Teaching English as an Applied Language at the University Level [J].
Klimova, Blanka ;
Pikhart, Marcel ;
Polakova, Petra ;
Cerna, Miloslava ;
Yayilgan, Sule Yildirim ;
Shaikh, Sarang .
SYSTEMS, 2023, 11 (01)
[10]  
Kobysia VM, 2017, INF TECHNOL LEARN TO, V61, P15, DOI 10.33407/itlt.v61i5.1762